A family firm in Leeds, £11.2m of turnover, 62 people, and an engine quietly losing ground on cash, quotes and errors. This file shows the whole method applied to it: the analysis, the measured diagnostic, the hiring of two AI workers, the ninety days of management, and the savings report a finance director can audit line by line.
Ten partsAbout a thirty minute readEvery figure traceable to its arithmetic
This is a simulation, and says so
Calder & Marsh Industrial Supplies Ltd is a fictional company. Its people, customers and numbers were built for this file, calibrated against published UK sources: statutory payment-practices data, FSB and Xero late-payment research, sector margin benchmarks, salary data, and independent studies of what AI actually delivers in a first quarter, including how often it fails. The sources section names them and shows where every simulated result sits inside the published evidence.
Nothing here is offered as proof of what your engagement would deliver. It exists so you can see the method working against realistic arithmetic before anyone asks you to buy anything. A companion case study applies the same method to an executive search and recruitment firm.
Before you start
How to read this file
This file is a case study and a teaching module at the same time. Three devices run through it:
Terms you can tap. Words like , and are dotted. Tap one for a plain-language explanation. No prior knowledge of finance or of AI is assumed.
Figures you can audit. Dotted numbers like open the arithmetic behind them: the formula, the inputs, and where each input comes from. This is not decoration. Auditability is the method.
Method notes. Green-edged boxes step outside the story to explain what the methodology is doing at that point and why. Read them and you can follow the discipline itself, not just this telling of it.
By the end you should be able to answer four questions: how a business finds where its time actually goes, how an AI hire is specified so a manager can hold it to account, how a term is run week by week, and how savings are counted so that nobody has to take anybody's word for anything.
A confidential pre-engagement profile, prepared October 2025. Figures are the twelve months to 30 September 2025 unless stated. No intervention has happened yet; this is the business as it stands.
Founded
1987, Leeds
Ownership
Calder family, 100%
Sites
Leeds HQ and warehouse (freehold); Teesside depot (leased)
Staff
62 (52 Leeds, 10 Teesside)
Revenue
£11.2m
Gross margin
28.5%
Net margin before tax
2.3% (£260k)
Trade accounts
~1,100 active; top 40 take 54% of revenue
SKUs
~28,000 listed, ~9,600 in stock
Payment terms
30 days; actual 61
Stock
£1.62m at cost, 4.9 turns
Overdraft
£1.25m facility at 9.25%; September peak £1,080k
History and ownership
Ray Calder was a toolmaker at a Hunslet engineering works; Brian Marsh sold fasteners for a Sheffield wholesaler. In 1987 they took a unit off Dewsbury Road with £9,000 between them and started supplying the fabrication shops Ray knew by first name. The business grew the unfashionable way: stock what the trade actually runs out of, open at half seven, and never make a customer wait twice. Ray bought the current Leeds site freehold in 1998, which is why the company still trades on thin margins without rent eating it alive. Marsh retired in 2008 and the Calders bought out his share with bank debt that took six years to clear.
The decision that shapes today's cost base came in 2014. A process-industry maintenance contract on Teesside justified a second depot, so they leased one. The contract halved in 2017 when the customer consolidated suppliers, but the depot stayed, partly pride, partly the fifteen accounts it had gathered. It now runs at roughly 60% of its designed throughput and carries £112k a year in premises costs, with a twice-weekly stock shuttle to Leeds that adds days to anything Teesside does not hold.
David Calder, Ray's son, became managing director in 2019 after twenty years in the business, most of them on the road. Ray, now 78, chairs the board and comes in on Tuesdays, walks the warehouse, and still knows more account history than the system does. The firm is good at what it does for an old-fashioned reason: availability and trust. A fabricator who rings at 8am gets the part on the afternoon van, and the counter staff know which grade of bolt the customer means before he finishes the sentence. What it has never been good at is writing any of that down.
People
Exhibit 1 · Organisation, 62 heads
Reports to David Calder, MD
Team
Heads
Margaret Whitaker, finance director
Credit control (Dawn Hargreaves), purchase ledger (Carol Metcalfe), finance assistant and payroll (Jack Ryder, 0.8 FTE)
Marketing and webshop (Sophie Trainor), IT (Pete Nowak), office admin and HR (Lynn Appleby), MD
4
Ray Calder chairs the board, non-executive and unsalaried. Gross payroll £1,949k including overtime and commission; loaded cost after employer NI and pension. The finance function costs £178k loaded, 1.6% of revenue, at the top of the mid-market benchmark range, largely because so much of it is manual.
Four people matter most to what follows. David Calder, 52, knows every top-40 account personally and closes on relationships and instinct; he is privately aware the business runs on four people's memories, including his. Margaret Whitaker, 63, joined in 1996, built every spreadsheet herself, and retires in April 2027; she is precise, trusted by the bank, and the only person who fully understands the month-end. Gary Pearson, 48, has twenty-two years in and carries the pricing logic for about 300 accounts in his head; first in at 7:15 to triage the shared inbox, last out most nights. Dawn Hargreaves, 44, is nominally the full-time credit controller; in practice she also administers fourteen supplier and covers the switchboard at lunchtimes. Her salary is £28k, squarely the Leeds market rate, a of £32.1k. Her actual chasing time is about five hours a week, on Friday afternoons.
The trading engine
Product lines by revenue share: fasteners and fixings 34%, hand and power tools 22%, PPE and workwear 16%, abrasives and consumables 14%, janitorial and site supplies 8%, lifting gear and miscellaneous 6%. Customers: fabricators and small manufacturers around 45% of revenue, maintenance and facilities teams 30%, contractors 17%, and cash trade at the counters the rest.
In mid-2023 a national facilities-management group consolidated MRO supply for 30 of its sites onto Calder & Marsh, worth about £1.1m a year. It was won on service and price, carries 4 to 5 points less gross margin than the book average, demands monthly reporting, and pays slowly, as large FM and manufacturing customers typically do.
Exhibit 2 · How orders arrive: 1,145 a week across 50 trading weeks
Channel
Orders/week
Notes
Email, to the shared sales@ inbox
410
Printed, then keyed into Sage, about 8 minutes each
Phone
380
Keyed live, about 6 minutes each
Trade counter, both sites
310
Average ticket £68; about £600k a year is cash and card
Webshop, 2016 vintage
45
Arrives as an email; re-keyed, about 5 minutes each
Average order value £196; average 3.6 lines per order, about 4,100 order lines a week.
Systems: the honest mess
Sage 200 Professional, on premise, 2021 version, 14 user licences, runs the ledgers, stock and order processing. It is not the problem; what surrounds it is. "Pricing Master.xlsx", Gary's file, 41 tabs, is the real price list for special terms. "Stock Check.xlsx" layers Ian's reorder judgement over Sage's report. "Rebates 2025.xlsx", Dawn's, is the only record of fourteen supplier rebate agreements. Quotes are assembled in Outlook from a saved template, priced by looking across Sage, the Pricing Master and supplier PDFs; a won quote exists nowhere except the sent-items folder until someone re-keys it as an order. There is no CRM: account knowledge lives in the reps' notebooks and in Gary's and David's heads. The sales@ and accounts@ inboxes are worked first-to-open, with no ownership and no service standard. In the warehouse, pick notes print in batches and are confirmed by pen, and the archive is eleven filing cabinets. Teesside reaches Sage over a VPN that drops several times a week.
The five processes that run the business
Each is described with its numbers, because the numbers are where the engagement will later stand or fall.
Quote to order
About 240 quote requests a week. An emailed request sits in the shared inbox a median of 6.5 working hours before anyone opens it. Triage takes 4 minutes; pricing a typical five-line quote takes 18 minutes across three sources; typing it into the Outlook template takes 9. Around 30% of quotes need a special cost from purchasing, and that request waits a median of 1.2 working days for an answer. Quotes over £2,500 wait a median of 4.8 working hours for Gary's sign-off. Median end-to-end turnaround is 2.6 working days, against a buyer population that increasingly orders from whoever answers first. Roughly one quote in five gets chased, ad hoc, when someone remembers. About of work is quoted each week; 42% converts. A won quote is then re-keyed into Sage, 6 minutes and one more chance to mistype.
Order to despatch
Keyed orders release to the warehouse printer in three daily batches at 10:30, 14:00 and 16:30, so an order keyed at 10:45 waits over three hours before a picker sees it. Everything funnels through one despatch checker, where the queue runs 25 to 40 minutes at peak. Carrier collection is 16:45; orders keyed after about 15:50 generally miss next day. A Teesside order needing Leeds stock waits for the twice-weekly shuttle. OTIF, measured only because the FM contract demands it, is 90.8% and has fallen in six of the last seven quarters. Order entry errors run at 25 per 1,000 keyed lines, about 103 lines a week; the checker and pickers catch perhaps two thirds, and the rest reach customers.
Invoice to cash
Invoices generate overnight from despatch confirmations, about 4,770 a month. Terms are 30 days; the book runs at . Trade debtors stand at £1,772k against credit revenue of £10.6m. £948k of that, 53.5%, is beyond terms, in line with the national picture in which 52% of UK SME invoices are paid late, and £214k is more than 90 days old. Dawn's chasing is Friday afternoons: about five hours and 25 calls, and only accounts past 60 days get a call. There is no , no escalation path and no routine involvement from the reps. Thirty-seven accounts are on at any time, and sales override stop an average of six times a week. Bad debt written off in the last twelve months was £31k, against £11k two years earlier.
Purchasing and supplier rebates
Two buyers raise about 85 purchase orders a week from roughly 240 active suppliers. Trade creditors are £1,140k, 52 creditor days, which is to say the company leans on its suppliers to part-fund its debtors; one key fastener importer has already tightened terms after late runs. The fourteen rebate agreements were worth £126k of income last year and are tracked only in Dawn's spreadsheet. In 2024 one claim worth £9.4k lapsed past its claim window unnoticed, and two agreements missed volume thresholds by amounts small enough that a deliberate order-timing decision would likely have closed them, an estimated £7.8k foregone. Rebates appear in nobody's job description.
Customer claims and credit notes
118 a month, up from 86 two years ago, average value £64. A claim waits a median of 2.1 days for the warehouse to pull the paper pick note, then claims over £150 wait 3.2 days for Margaret's approval. Median end-to-end is 9 working days, during which the customer typically withholds payment on the whole invoice, feeding the debtor book. Internal coding attributes 48% of credits to keying and picking errors, 27% to price mismatches between Sage and the Pricing Master, and 25% to genuine returns and transit damage. Each claim absorbs about 55 minutes of staff time, and about 40% involve a re-delivery.
Exhibit 3 · The workload cross-check
Order entry plus quoting consumes about . The eight internal sales staff provide 300 contracted hours; at a realistic 75% utilisation on these tasks (phones, queries and supplier chasing absorb the rest), capacity is about 225 hours. The engine runs at 98% of capacity, which is why the inbox queue exists and why a single absence shows up in the turnaround figures within days.
Performance and measurement
Eight quarters. Revenue, margin, debtors and overdraft come from management accounts. Quote turnaround and conversion were reconstructed for this profile from four two-week samples of sent items, machine-read and matched to Sage order records; the company does not routinely measure either, which is itself a finding. The error baseline is derived from credit-note attribution.
Exhibit 4 · Eight quarters, Q4 2023 to Q3 2025
Metric
Q4 23
Q1 24
Q2 24
Q3 24
Q4 24
Q1 25
Q2 25
Q3 25
Revenue £k
2,540
2,610
2,680
2,710
2,750
2,730
2,850
2,870
Gross margin %
29.4
29.1
29.2
28.9
28.7
28.5
28.6
28.3
Debtor days
53
54
56
56
58
59
60
61
Quote turnaround, median days
1.5
1.7
1.6
2.0
2.1
2.4
2.3
2.6
Quote conversion %
47
46
46
45
44
45
43
42
Order entry errors per 1,000 lines
19
21
20
22
23
24
25
25
OTIF %
94.1
93.8
93.2
93.6
92.4
92.0
91.4
90.8
Credit notes per month
86
90
95
93
104
108
114
118
Overdraft peak £k
610
650
690
760
820
890
990
1,080
Q1 25 shows a soft January and a spring price action that briefly lifted conversion; OTIF recovered for a quarter in 2024 when a temp was hired, then slid again. The trend survives the noise, which is the point.
The story the table tells is coherent and quietly worrying. The 2023 FM win lifted volume about 13% over two years, diluted gross margin by 1.1 points through mix, and loaded a manual engine that had no slack. Every service and control metric has degraded in step: quotes slower, conversion lower, errors and credits up, OTIF down, and the extra revenue arriving as debtors rather than cash, so peak borrowing has grown £470k in two years against flat facility headroom.
The board pack each month contains: sales versus last year, gross margin percent, the overdraft balance, total aged debt as a single number, and headcount. It does not contain quote turnaround, conversion, error rates, OTIF, credit note counts, rebate status, or any measure of queue times. Nothing in the pack would have surfaced any trend in the lower six rows of Exhibit 4.
What it costs them
Every figure below is a multiplication of numbers already stated, and deliberately understated.
Cash tied up in debtors. Each debtor day holds of cash. Against the company's own 2023 performance of 53 days, today's 61 ties up an extra , costing at the 9.25% overdraft rate. Against a 45-day level that a trade distributor on 30-day terms can realistically hold, the excess is £464k and £42.9k a year.
Errors, claims and credits. 1,416 credit notes a year at 55 minutes each, plus re-delivery carriage, is of hard, auditable cost. Industry estimates of £40 to £100 per order error, vendor-published and treated with caution, would put the true figure at £64k to £142k. The £27.6k is what is carried.
Quotes lost to slow turnaround. Conversion has fallen five points while median turnaround rose from 1.5 to 2.6 days. Attributing a conservative three of those five points to speed, the loss is . The full five points would be £88.9k.
Rebate leakage. £9.4k documented as lapsed in 2024; up to £17.2k including the near-miss thresholds. The £9.4k is what is carried.
Conservative annual total: . Less conservative, using the 45-day benchmark, industry error costs and the full conversion decline: up to £213k. Against profit before tax of £260k, the conservative case is 43% of the bottom line, recurring, before any growth.
The sharper point is resilience rather than profit. September's peak borrowing of £1,080k against the £1,250k facility leaves , barely more than one month's gross payroll. One large customer slipping from 60 to 90 days would take the company to its facility limit with wages due.
Why now
Margaret Whitaker retires in April 2027. She is the only person who can run the month-end, the only person who fully reads the debtor book, and the author of every spreadsheet that glues Sage to reality. Eighteen months is exactly long enough to capture what she knows into processes that do not depend on her, and exactly short enough that waiting a year makes it impossible. Ray's view, delivered on a Tuesday in his usual register, is that the business never used to borrow to pay wages and he does not see why it should start now; he is not wrong, and the overdraft trend line says so.
What actually rattled David was Hartside Engineering. A £310k-a-year account, solid for a decade, drifted quietly: statements went out, no calls were made because the account had never needed them, and in August 2025 Margaret found £86k of it at 94 days during her facility review for the bank. The money came in, after three awkward weeks and a conversation that damaged a good relationship, but David has done the arithmetic. Nothing in the monthly pack would have caught it, Dawn's Friday afternoons cannot watch 1,100 accounts, and the next Hartside might not pay.
Method note 1 · Why the profile comes first
Nothing has been sold yet, and that is deliberate. The method starts by establishing a measured baseline, because a saving can only ever be a difference between two measurements, and the first one has to exist before anyone touches anything. Notice also what the profile measures: not effort, but waits. The inbox median, the batch times, the Friday chase window, the 9-day claim cycle. Work is not lost evenly. It is lost at the points where work is picked up, waits, or changes hands, and the method has a name for those points: grabs.
Part two
The analysis (TCEL)
The engagement began with a telephone call in September 2025, a month after the Hartside discovery, on an introduction from the bank's relationship manager. David asked TCEL for a view of the whole business, not of its software. TCEL's position from the first meeting was the one it holds everywhere: AI belongs inside your strategy, not on top of it, and nothing would be bought until the analysis said where intervention pays.
The principal spent three days on site and a week in the management accounts, the sent-items samples and the Sage records. The read, stated as measured findings and ranked by what each leak costs:
Working capital is the binding constraint. The book runs at 61 debtor days against 30-day terms, 8 days worse than the company's own 2023 performance. That slide ties up of cash. The deeper finding is resilience: one large customer slipping from 60 to 90 days would take the company to its facility limit with wages due.
The revenue engine is saturated. A 98% load on the sales office, visible in Exhibit 3, and its symptoms visible in Exhibit 4: turnaround up from 1.5 to 2.6 days over eight quarters, conversion down five points, a conservative of gross margin attributed to speed alone.
Errors cascade into cash. 25 errors per 1,000 keyed lines; credit notes up from 86 to 118 a month; each disputed invoice typically withheld in full while the nine-day claims process runs, feeding the debtor book.
Income nobody owns leaks. Fourteen rebate agreements worth £126k a year live in one spreadsheet, and £9.4k of it lapsed unnoticed last year.
The business cannot see itself. Not one of the six degrading rows in Exhibit 4 appears in the board pack.
Three observations a senior operator adds, beyond process. Concentration has changed the shape of the risk: the top 40 accounts take 54% of revenue and hold most of the overdue book, so the risk is now customer-shaped rather than demand-shaped, and the credit control was designed for neither. The knowledge cliff is dated: Margaret retires in April 2027, Gary carries the pricing logic for 300 accounts in his head, and the firm's real asset, availability and trust, has never been written down. The company has pricing knowledge but no pricing control: a 41-tab spreadsheet is the real price file, 27% of credit notes are price mismatches, and margin has drifted 1.1 points. There is margin to recover without raising a single price, but only once there is one source of truth.
Strategy problems: the board's agenda
The Teesside depot at 60% of designed throughput
The FM contract's margin and payment terms
Top-40 concentration and credit risk appetite
Pricing discipline and the 1.1 drifted points
Choices the owners have not yet made. No amount of automation answers them, and nothing below pretends to.
Staffing problems: defined work, short of hours
The chasing that is not happening (invoice to cash)
The accounts@ queries that sit unanswered
Order capture and quote assembly at 98% load
The rebate calendar nobody watches
Work that is defined, measurable and simply not done for want of hours. This is what you staff.
The decision logic follows from the split. Invoice to cash is the clearest staffing case, with the fastest cash effect and the lowest change burden, because it runs through one small team. The quote-and-order engine is the second, and relieving it protects the revenue line while the first intervention repairs the cash line. TCEL therefore recommended two interim hires rather than a systems project, and commissioned GRABS to run a on invoice to cash before anything was bought.
Method note 2 · Strategy problems and staffing problems
The single most useful discipline in this part is the sorting test. For each leak, ask: is this work that is defined, measurable, and simply not being done for want of hours? Then it can be staffed, by a person or by a Worker. Or is it a choice the owners have not made? Then it belongs on the board's agenda, and automating around an unmade decision only hides it. Most failed AI projects die on this line: they automate what should have been decided, or they decide nothing and automate everything.
Part three
The Process Diagnostic (GRABS)
One process, one week. From Monday 20 to Friday 24 October 2025, GRABS measured invoice to cash from the company's own records: the Sage , the accounts@ mailbox timestamps, Dawn's call log, and Credits & Claims.xlsx. Nothing was recalled in a workshop. In the sample week the company raised about 1,100 invoices, opened 27 claims and overrode the stop list six times, all in line with its running averages.
Below is the grab map: the five points in this one process where the work waits. Tap each row for where it waits, how many hands touch it, and what the wait costs at the company's own numbers.
Exhibit 5 · The grab map: invoice to cash, measured week of 20 October 2025
The invoice sits in the aged listing. Nothing happens until the account passes 60 days and reaches a Friday call list. Median age at first human contact: 67 days from invoice date. Touches before day 60: none.
Cost
The book runs 8 days worse than its own 2023 level: of cash, at 9.25%.
Copy-invoice, statement, and queries wait in a shared inbox, first to open, no owner. Median 1.9 working days to first reply; about 60 routine queries a week at 6 minutes each. Average touches: 2.3 (opened, parked, reopened).
Cost
of the £948k overdue sat on invoices waiting for the company's own answer.
The claim waits 2.1 days for a paper pick note to be pulled, then 3.2 days for approval above £150. Nine working days end to end, five touches.
Cost
27 claims opened in the week; of invoices withheld in full while they ran; 55 staff-minutes per claim.
A verbal word to sales lifts a stop; nothing is recorded. Six overrides in the week, none documented. The wait here is minutes; the grab is that the decision changes hands invisibly.
Cost
Of last year's £31k write-offs, sat on two accounts supplied after an override.
All chasing happens in one five-hour window: 25 calls, and accounts under 60 days are never called. Between windows, seven days in which nothing moves.
Cost
, 75% of the overdue book, had received no contact of any kind in 30 days.
Bar length shows the median wait at each grab, on a square-root scale so the short waits stay visible. The costs are not additive across rows and are never summed.
The surprise finding. David expected the diagnostic to confirm that his customers pay slowly. What it showed instead is that the largest single identifiable blocker that week was his own company: £294k of overdue money, 31% of the overdue book, was attached to invoices where the customer was waiting for Calder & Marsh, for a copy invoice, a POD, or an answer to a claim. The slowest payer in the invoice-to-cash process was the process.
The diagnostic closed with two Role Cards and a readiness list. Everything it produced was the company's to keep, hire or not.
Method note 3 · What a diagnostic is, and is not
A is a point in a business where work is picked up, waits, or changes hands. Every process has a handful, and they are where the time goes. The diagnostic measures one process for one week, from the company's own records, never from a workshop, because people describe their process as it was designed and records show it as it runs. Note the shape of the output: not a transformation roadmap, but a short map of measured waits, each priced at the client's own numbers, plus the one-page specification of the hire that would close the worst of them. Small, checkable, and owned by the client whether or not they buy anything.
Part four
The assumption sheet
Signed by David Calder and Margaret Whitaker on Friday 31 October 2025, before either Worker started. GRABS counts events; the client prices them, in advance, in writing. Every multiplier on every later report appears on this sheet, fixed at signature. The 9.25% overdraft rate, for instance, is the facility letter's rate on the day of signing, and it does not float with the base rate afterwards: a signed sheet is a signed sheet.
Exhibit 6 · Loaded pay rates, from the company's own payroll (1,950-hour working year)
Role
Basis
Signed rate/hr
Credit control (Dawn Hargreaves)
£16.50
Sales office and clerical
Stated loaded clerical rate, consistent with £26.5k base salaries
£16.00
Sales office manager
£21.00
IT and systems
£19.00
Finance director
£49.00
Managing director
£57.00
Exhibit 7 · Cost of delay and financing values
Value
Basis
Signed figure
Overdraft rate
Facility letter, at signature
9.25%
One debtor day
£29.0k cash; financing
One point of quote conversion
£17.8k margin/yr
Exhibit 8 · Incident prices, from the last year's actual dropped balls
Incident type
What it actually cost last year
Signed price
Rebate claim window lapsed
The 2024 lapse: £9.4k claimed by nobody
£9,400
Rebate volume threshold missed
£3,900
Stop override that converts to loss
£4,250
Major account drifting past 90 days unnoticed
£1,050
Re-delivery carriage
Carrier tariff
£12
Note the restraint. The Hartside incident is priced at £1,050 of measurable cost, not at some invented relationship-damage figure. Conservative prices survive audits; generous ones survive nothing.
Exhibit 9 · Governance, agreed before day one
Data residency. The is UK-hosted and single-tenant. The customer ledger does not leave the UK, and no client's data is ever visible to another client.
Data protection. A data protection impact assessment was completed in week 1 and reviewed by Margaret. No banking, card or payroll data is in scope for either Worker.
Disclosure. Outbound email is signed "Accounts team, Calder & Marsh", with AI assistance disclosed in the footer under the company's stated policy. The Worker is not presented as a human colleague.
Systems. The Worker reads Sage through a nightly export to the vault and writes only draft orders and ledger notes back, through Sage's standard interfaces, under one named user licence. Pete Nowak owns the connector.
The record. Every action is logged and attributable in the , which the company owns and keeps at handover. The bank's relationship manager was informed at onboarding.
Method note 4 · We count. You price.
This sheet is the load-bearing wall of the whole engagement. Every saving reported later is a count of events multiplied by a price, and every price on it was set by the client, from their own payroll, their own facility letter, their own last year of dropped balls, before the work began. The supplier never authors a number about the client's business, which means the supplier can never be accused of marking its own homework. If you remember one device from this file, make it this one.
Part five
The hires: two Role Cards
Each hire is proposed on one page, the : six parts, in the language of a job spec, because that is the language a manager can already assess, argue with and hold to account. Both terms ran 90 days from Monday 3 November 2025.
Role Card 1 of 2
Credit Controller Worker
Mission: no invoice ages in silence. KPI: debtor days. Term: 90 days.
Knowledge
The 30-day terms and the signed assumption sheet. The full Sage ledger and aged listing, refreshed nightly into the vault. The fourteen rebate agreements with thresholds and claim windows. The open-claims file, so disputed invoices are never chased blind. The FM group's portal rules and payment-run dates. Account history captured from Dawn, Gary and the reps, including the Hartside file. The house voice, from Dawn's own best chase letters: firm, plain, courteous.
Skills
Runs a three-stage on every overdue account, not a Friday sample. Answers copy-invoice, statement, POD and remittance queries from accounts@. Matches remittances to the ledger. Splits disputed lines from clean balances and chases the clean part. Prepares Dawn's Friday escalation list, reasoned in writing. Tracks every rebate threshold and claim window. Drafts the month-end debtor commentary.
Behaviours
Never threatens and never invents terms. A dispute is flagged to a human, not argued with a customer. Silence beyond seven days on an account past 60 escalates. When the right action is unclear, the Worker asks, in the , and waits.
Tools
Sage 200 ledger, read and note-posting only, no cash posting. The accounts@ mailbox under its own identity. The Work Log. The approval queue. Nothing else: no payroll, no banking, no card data.
Authority
May send reminder stages 1 to 3 unaided on undisputed balances up to £10k per account. Stage-4 final notices, anything beyond stage 2 on a top-40 account, payment plans, and anything touching a stop-list decision go to the approval queue: Dawn first, Margaret above her. Rebate claims are prepared as drafts for Ian's release only. The Worker may never place or lift a stop, and may never promise extended terms.
Co-factors
A named approver clearing the queue daily (Dawn, about 20 minutes). Reps answer dispute referrals within two working days. The claims file syncs nightly. Account email addresses cleaned before the first send. Margaret signs the sequence wordings. If the queue is not cleared daily, the role stalls, and the Monday Report will say so.
Role Card 2 of 2
Sales Office Worker
Mission: every order captured once, every quote out the same day it can be. KPIs: median quote turnaround; order entry error rate. Term: 90 days.
Knowledge
The Sage SKU file and price books. The Pricing Master, migrated to the vault as the single pricing source, with Gary's special-terms logic for about 300 accounts captured in three half-day sessions. Standard terms, carriage rules, the 15:50 next-day cut-off. The quote template and sixty recent sent quotes as tone samples. The FM contract price file. The warehouse batch-release times.
Skills
Reads emailed and webshop orders into draft Sage orders for human release, line by line, flagging anything ambiguous. Triages sales@: classifies, routes, acknowledges every order with a promised despatch day. Assembles draft quotes for standard-priced lines, priced only from the vault. Chases purchasing for special costs and keeps the request visible until answered. Follows up open quotes at day 2 and day 5. Logs every exception with the reason.
Behaviours
An ambiguous order line is never guessed: it queues with a specific question. Prices come from the vault pricing file, never from general recollection. FM orders are validated against contract prices before release. Anything that smells like a special deal goes to Gary. The acknowledgement never promises stock it has not checked.
Tools
The sales@ mailbox under its own identity. Sage 200 order entry, draft status only at the start. The webshop order feed. The Work Log and approval queue. No supplier ordering, no price amendments, no account creation.
Authority
May capture orders unaided; may release orders up to £750 on standard terms for accounts on a clean list, a whitelist granted at the 60-day review and not before. Orders above £750, any non-standard price, any new account, and any quote above £2,500 queue for Gary. May not create accounts, change a price, or promise stock.
Co-factors
Gary's three capture sessions, protected in the diary. The Pricing Master frozen as the single source, with Gary its named owner. Webshop order emails standardised (Pete Nowak, one day). A named releaser clearing draft orders at 9:00, 11:30 and 14:30. Without the single pricing source, this role fails, and it fails quietly.
Method note 5 · The employee test
Read either card against the four conditions of real employment and you have the management model in miniature. A job description: a mission, KPIs, a defined scope, an . A manager: a weekly report, an approval queue, named escalation routes. A personnel file: the vault, with every action logged and attributable. And it can be sacked: caps enforced in code rather than by discipline, and a switch that ends it in a minute. The deserve special attention: they are the card saying, in writing, what the role needs from the company to work at all. A role that assumes its co-factors silently fails quietly. A card that states them can be held to account in both directions.
Part six
The term: ninety days, managed
Monday 3 November 2025 to Saturday 31 January 2026.
Onboarding: the vault, built in days
Days 1 to 4. Into the went: the Sage exports (customer master, terms, aged listing, open orders, price books, SKU file), the Pricing Master's 41 tabs, the rebates and claims spreadsheets, the quote template and sixty sent quotes, Dawn's best chase letters, the facility letter, the FM contract terms and portal dates, and five capture sessions: three half-days with Gary on pricing logic, one with Dawn on accounts and rebates, one with Margaret on the month-end. The connector was built the same week: a nightly Sage export into the vault and a draft-order import back, through Sage's standard interfaces, under one named user licence, owned by Pete Nowak. It failed twice during the term; both failures were caught by the Monday Report's data-freshness line, and neither reached a customer.
Day 5 found the problem the glamourless way: 243 of 1,100 account records had no working invoice email address or a dead contact, and 57 were duplicates. Nothing intelligent can chase a wrong address. Weeks 1 and 2 became a master-data sprint, the Worker drafting corrections, Lynn and Dawn verifying, before a single reminder went out. It was not in the plan. It is in every plan now.
Monday Report, week 2 amberIssued Monday 17 November 2025
Done: data sprint complete. 1,100 account records verified, 243 corrected, 57 duplicates merged.
Held in queue: the first stage-1 reminder batch (Wednesday 12 November, 412 accounts) was held by Dawn at the queue. 19 accounts in the batch had open claims not yet synced from the claims file; chasing a disputed invoice in week one would have cost goodwill we do not own. Batch corrected, claims file moved to nightly sync, clean re-run Friday 14 November.
Sales Office Worker: capturing email orders in draft since Tuesday; 31% of email orders captured this week; all releases human.
Numbers: baseline restated, debtor days 61.0. Nothing is claimed yet.
30-day review, Monday 1 December 2025. Vault complete and attested by Margaret; both Workers live; every overdue account now inside a reminder sequence for the first time in the company's history. Debtor days 60.1 against 61.0 at baseline: two weeks of sending proves the machinery, not the outcome, and the review said so.
Monday Report, week 6 green, one exceptionIssued Monday 15 December 2025
Done: reminder sequences running on 100% of the overdue book; accounts@ routine queries answered same day (median 3.1 working hours, from 1.9 days); 48% of email orders auto-captured for release; quote drafts on standard-priced lines live.
Catch: Friday 12 December. The annual claim on the tooling-supplier rebate agreement was unclaimed 20 days before its 31 December window closed, the same failure that cost £9.4k in 2024. Flagged to Ian, claim filed 18 December. Priced at the signed incident price, £9,400, on this month's report.
Escalation: 11 duplicate order drafts this fortnight. Two internal sales staff are keying email orders in parallel with the Worker's capture, to be safe. Two duplicates reached the warehouse; one shipped twice and was credited. Gary is also maintaining offline pricing tabs. This needs a management decision, not a technical one.
Numbers: debtor days 58.1; overdue with no contact in 30 days: £238k, from £711k at baseline.
The week-6 exception, resolved. On Wednesday 10 December David chaired a thirty-minute meeting with Gary, the sales office and both Worker approvers. The Pricing Master in the vault was declared the single source of truth with Gary its named owner; the offline tabs were merged in; parallel keying stopped; the two staff who had been double-keying took on the draft-review and release role instead. The fortnight of double work and the eleven duplicates are in the record. The cause was trust, not technology, and the fix was a chaired meeting, not a patch.
The same month produced a quieter correction. A top-40 account told its rep that the stage-2 reminder wording read cold. Margaret softened two sentences and re-signed the sequence wordings on Friday 19 December. The sequences are hers, not the Worker's; that is what a signature means.
60-day review, Monday 5 January 2026. Debtor days 57.4. 55% of email orders auto-captured, with an error rate of 6 per 1,000 captured lines against the 25 per 1,000 keyed baseline. Release authority to £750 on the clean list granted, as the Role Card provided.
The Worker's own error, on the record. On Tuesday 20 January a stage-2 reminder went to Denholm Fabrications, £6.2k, hours after their BACS payment had arrived. The remittance carried no reference, so it sat unallocated while the sequence fired. Denholm's finance manager replied sharply, and was right to. The correction and apology went out the same morning under Dawn's name, and the rule changed that day: no reminder leaves on any account with an unallocated receipt anywhere on the ledger until a human has matched it, and the receipts sweep moved to 8:30 daily. One error in roughly 2,100 sends over the term is a better record than the Friday call list ever had. It is still one more than the report is allowed to hide.
Monday Report, week 12 greenIssued Monday 26 January 2026
Numbers against baseline: debtor days 55.4 and falling (61.0 at baseline). 63% of overdue invoices now clear at reminder stages 1 to 3 with no human touch; the rest route to Dawn's Friday escalation list, eleven calls last week instead of twenty-five, each one an account that actually needs her. Email orders: 61% auto-captured; captured-line errors 6 per 1,000. Median quote turnaround 1.1 working days (2.6 at baseline); purchasing cost requests answered in a median 0.4 days (1.2 at baseline). Conversion on the weeks 7 to 10 quote cohort, measured at day 14: 44.0% (42.0 on the same cohort definition at baseline). OTIF ticked up to 91.9%; noted, not claimed, the batch-release times are unchanged.
Exceptions: one sending error this month (20 January, corrected same morning, rule change in force).
Catches this month: two, both priced on the month-3 report.
Next: handover preparation; renewal decision papers for the 90-day review.
90-day review, Monday 2 February 2026. Debtor days 55.2 against 61.0; conversion 44.0 against 42.0; three catches on the term's log; one sending error, corrected and rule-changed; both Role Cards performed inside their authority grades with no breach. Renewal tabled as a decision, not assumed.
Method note 6 · Management ceremony is the product
Read the term again and notice what did the work. The is obliged to carry bad news, which is why the duplicate-keying problem surfaced in week 6 instead of festering for a year. The approval queue caught the disputed-invoice batch before it cost goodwill. The reviews at 30, 60 and 90 days are where authority was widened, deliberately, against evidence. Most AI deployments fail, and the independent research says they fail on exactly these points: unmanaged tools, unowned data, unsurfaced problems. The ceremony is not overhead on the automation. The ceremony is the product; the automation is staff.
Part seven
The savings report, month three
Covering 4 to 31 January 2026. Three columns, three different kinds of money, three separate subtotals. They are never added into one headline figure: the reader adds what the reader trusts.
Column 1 · Banked
£3,990
Minutes returned, measured from the Work Log, valued at the signed rates. 249 hours this month.
Column 2 · Released
£4,264
Speed turned to cash, measured before and after, converted at the signed values.
Column 3 · Avoided
£8,150
Two specific mistakes caught, dated and evidenced, priced at the signed incident prices.
Tap any figure in the tables below for its full derivation.
Column 1 · Banked · Minutes returned
Task category
Work Log, month 3
Hours
Rate
Value
Reminder preparation and routine chase calls no longer made by the credit controller
Sequences on the full book
£16.50
£198
Routine accounts@ queries answered
200 queries at 6 min each
£16.00
£320
Email orders auto-captured for release
1,000 orders, 8 min keyed down to 2 to review
£16.00
£1,600
Webshop orders captured
180 orders, 5 min down to 1
£16.00
£192
Quote drafts assembled on standard-priced lines
300 quotes, 31 min down to 10 to check and send
£16.00
£1,680
Banked subtotal, month 3
249.0
Dawn's two escalation hours a week remain hers by design and are not counted. Her approval-queue time, about two hours a week, is a co-factor cost the company carries; netted at her rate it would reduce this column by £132 a month. Quote follow-ups and order acknowledgements are new activity that did not exist before, so they displace no minutes and appear nowhere here. No headcount has been reduced.
Column 2 · Released · Speed turned to cash
Entry
Movement
Month-3 value
Debtor days, financing at the signed 9.25%
61.0 to 55.2 days; from the debtor book
Quote conversion at the signed per-point value
42.0% to 44.0% on the measured cohort; turnaround 2.6 to 1.1 days
Released subtotal, month 3
Debtor days are computed by countback against monthly credit sales, so December's seasonally low billing does not flatter the January reading. The previous winter, with no sequences running, the book drifted from 58 to 59 days over the same November to January window: the 5.8-day movement was made against a seasonal headwind, not with one. Ninety days barely covers two collection cycles on terms like these, so this is a trend established, not a steady state. And the two largest accounts, including the FM group, pay on their own payment-run policy: their days did not move. The improvement came from the middle and tail of the book.
Exhibit 10 · Debtor days: eight quarters of drift, then the term
Hover any point for its value. Eight quarters of management-account data (Exhibit 4), then the term's path from the Sage aged listing: 61.0 at baseline, 60.1 at day 30, 57.4 at day 60, 55.2 at day 90.
Column 3 · Avoided · Mistakes caught
Date
Catch, evidenced in one line
Signed price
Fri 9 Jan 2026
Fastener-importer rebate agreement (year to 31 March) tracking £11k of volume short of threshold with eleven weeks to run; flagged in the Monday Report of 12 January; Ian advanced two February stock orders (POs 48112, 48113)
Wed 14 Jan 2026
Order CM-61447, £2,840, released verbally against an account at 92 days and on stop; held at the approval queue (entry 14 Jan, 10:42); Margaret agreed a payment plan before release
Avoided subtotal, month 3
A is reported after it happens, with evidence, or not at all. There are no forecasts of avoided losses anywhere on this report. Term catch log to date: three catches, , including the rebate claim window caught on 12 December (£9,400, reported in month 2).
Exhibit 11 · The price, and the client's own hours, beside the report
This simulation assumes a staffing-style monthly fee of £1,650 per Worker, inside a defensible mid-market band of £1,500 to £1,900: for the two, £9,900 for the term, plus the Process Diagnostic at an assumed £1,950. These are the simulation's assumptions, marked as such; the live price list is published on grabs.ai, and the figures here exist so the arithmetic can close.
Set the columns against the fee however you choose, but keep the kinds of money straight. The banked column is capacity, not cash: 249 hours is real only because it was redeployed, into the quote follow-ups and release checks that did not exist before and into Dawn's shorter, sharper Friday list. The cash story is the released column, where the defining number is the £168.2k out of the debtor book, and the catches, at prices the client signed. The report also carries the other side of the ledger: the company invested in the term, £1,781 at the signed rates, almost all in the first fortnight, plus Dawn's queue time at about £132 a month.
Method note 7 · Three columns, never blended
The grammar of the report is the lesson. Banked is measured money: logged minutes times signed rates. Released is measured movement converted at signed values: before and after, nothing else. Avoided is counted events at signed prices: specific, dated, evidenced, never statistical. Three different standards of evidence, so three columns that never share a subtotal. The moment a report blends them into one big number, you can no longer audit any of it, and a number you cannot audit is a number you are being asked to believe.
Part eight
What did not improve
Claims and credit notes were measured and deliberately left alone. The nine-day claim cycle depends on paper pick notes in eleven filing cabinets, and no Worker can pull paper. Credit notes fell only from 118 to about 109 a month, the share caused by keying errors on captured lines. The claims process, and the warehouse paper that gates it, is a next-term question.
Phone orders were untouched. 380 a week are still keyed live, so the blended error rate improved only from 25 to about . The captured lines run at 6 per 1,000; most lines are still keyed.
The stop-list control holds only where the Worker is. Captured orders cannot bypass a stop, which is how CM-61447 was held. A phone order keyed live into Sage still can, on a verbal word, exactly as before. Closing that route is a Sage workflow change, a management control rather than a Worker task, and it is on the renewal agenda.
The head of the debtor book did not move. The two largest payers run payment-run policies that no reminder sequence alters. Their terms are a commercial negotiation: TCEL's territory, not a Worker's.
The webshop is still 2016 vintage. Its orders arrive as emails; the Worker captures them in a minute instead of five. That is a patch on an old pipe, not a new pipe.
And one failure, on the record. Weeks 5 and 6 produced a fortnight of double work: parallel keying beside the Worker's capture, eleven duplicate drafts, two reaching the warehouse, one shipped twice and credited. The cause was trust, not technology, and the fix was a chaired meeting, a single source of truth declared, and two jobs redesigned.
Teesside, its pick errors and its shuttle delays, was out of scope throughout and remains a question for the strategy, not for this term.
Part nine
The handover and what they kept
On Monday 2 February 2026 the handover was : Margaret signed the record confirming the vault complete and current, every Work Log entry attributable, and the playbooks run once under supervision by Jack Ryder without the Worker's help.
Calder & Marsh keeps, outright:
the vault: the account master, cleaned and deduplicated; the pricing file as a single source with a named owner; the rebate calendar with every threshold and window dated; the claims file synced nightly; the tone library; and the captured sessions with Gary, Dawn and Margaret, written down for the first time in the company's history;
the playbooks: the three-stage dunning sequence with Margaret's signed wordings, the escalation routes, the order-capture exception rules, the quote-assembly rules, the rebate calendar procedure;
the records: the full Work Log, the catch log, the approval-queue history, and the baseline-to-day-90 measurements;
the trained process itself, which now runs on written rules rather than four people's memories.
The handover notes carry one open item. One member of the sales office was still keeping a private list of "his" email orders in February, checked each morning against the Worker's capture. Nobody has asked him to stop. The note records only that trust is adopted at different speeds.
"It does the chasing I never got to. Fridays I do the ones that need a human."
Dawn Hargreaves, at the handover meeting, as minuted
The renewal decision David faces is a real choice, and it is put to him as one. Renew both Workers at £3,300 a month and extend into the claims process. Renew the Credit Controller Worker alone. Or renew neither: take the vault and the playbooks and run the sequences in-house, which the handover genuinely equips the company to do, at the cost of the hours it was short of in the first place. Renewal is a choice, never a default.
Whatever a term finds, this is what GRABS commits to every client
"The least any client ever receives is a complete structuring of their company's knowledge, the vault, and a step change in their knowledge management."
Method note 8 · The handover is the test of the model
An engagement you cannot leave is not staffing, it is dependency. The attestation exists so that a named person on the client side signs, against evidence, that the knowledge is theirs, the records are complete, and the process runs without the supplier in the room. If the renewal case cannot survive the client being genuinely free to walk, it was never a case. That is also why the floor guarantee above is phrased the way it is: whatever the measured outcome, the client ends the term owning a structured version of what their business knows.
Part ten
Where this leaves the strategy (TCEL closing note)
The cash position is no longer the binding constraint it was in September. £168k released from the debtor book, added to £170k of facility headroom, roughly doubles the buffer between the company and its limit, and the next Hartside now surfaces in days through the exception list rather than in a facility review months late. Ray's test, that the business should not borrow to pay wages, is back within reach without a penny of new revenue, and the board pack now carries the six rows that were missing: debtor days, quote turnaround, conversion, error rate, OTIF and credit notes, drawn from the same records the Workers keep as a side effect of working.
The Margaret problem has changed shape. Her month-end and her reading of the debtor book are partly written down for the first time, and the dunning process no longer depends on any individual's Friday. Fourteen months remain before she retires, which is enough, provided the capture continues deliberately: the remaining work is her judgement on the bank, the audit and the year-end, none of it yet in the vault. That, not more automation, is the next knowledge task.
What the term has really bought is the standing to address the strategy questions from evidence. The FM contract can be renegotiated with measured OTIF and a known cost to serve. The Pricing Master, now a single controlled source, makes the 1.1 points of drifted margin recoverable account by account. Teesside can be decided, kept, shrunk or closed, against numbers rather than pride. None of these is an AI question. They are owner's questions, which is where they always belonged; the engine just had to stop consuming the owners first.
The learning module, closed out
The method, recapped
Everything you just read is one method applied once. It has three steps, and you have now seen each of them working.
01 · Find the grabs
Work is not lost evenly; it is lost at the points where it is picked up, waits, or changes hands. Measure one process for one week, from the company's own records, and price each wait at the company's own numbers. You saw this in Part three: five grabs in invoice to cash, and a surprise the owner did not expect.
02 · Read the card
The hire is proposed on one page, in the language of a job spec: what it knows, what it can do, how it behaves, what it may touch, how far it can go before it must ask, and what it needs from you. You saw this in Part five: two Role Cards a manager could argue with, and co-factors stated so failure cannot be quiet.
03 · Manage the term
A fixed term under real management: the Monday Report that must carry bad news, the approval queue the client controls, reviews at 30, 60 and 90 days against a measured baseline, and an attested handover after which everything stays with the client. You saw this in Parts six to nine, including the fortnight it went wrong and how the ceremony caught it.
And underneath all three, the counting discipline from Part seven: events counted by the supplier, prices signed by the client in advance, and three columns of different evidence that are never blended into a number you would have to take on faith.
Run it on your own numbers
Three questions, straight from this file to your business:
What is your debtor-days number today, and what was it two years ago? If you do not know either, that is the first finding.
Who owns your shared inboxes, and how long does a copy-invoice request wait for an answer? The Calder & Marsh diagnostic found 31% of the overdue book waiting on the company's own replies.
If your biggest account went silent at 90 days, what in your month-end pack would catch it before your bank review did?
The board pack is a ready-to-edit presentation for taking this case to your own board, in your voice, with every figure left as a slot for your numbers.
Calder & Marsh is fictional; the world it trades in is not. The company's shape, its pains and the engagement's results were calibrated against the published sources below, graded by how much weight each will bear. Where the simulation needed a number the public record does not supply, it stayed inside the nearest published range, and the ranges are shown.
Official and statutory
Department for Business and Trade, large businesses' payment practices and performance statistics, 2025 edition: large payers average 32 days to pay with 15% of invoices late; manufacturing payers, the customer base of an MRO distributor, average 45 days with 21% late.
GOV.UK, employer National Insurance from April 2025 (15% above £5,000) and auto-enrolment minimums (3%): the basis of every loaded rate in the file.
Bank of England base rate and standard UK SME overdraft pricing of base plus 3 to 8 points: the 9.25% facility sits inside the band.
Large-panel and sector research
FSB and GoCardless late-payment research: 52% of UK SME invoices paid late; around £22,000 of overdue invoices owed to the average small firm at any time.
Xero Small Business Insights: UK small-business invoices paid an average of 8 days late against agreed terms.
Atradius Payment Practices Barometer, UK: roughly two thirds of UK firms report late B2B payment; 30-day terms with a book running at 55 to 70 days is a recognised problem state.
UK SME benchmark aggregations of filed accounts: wholesale and distribution at a median 24% gross and 5% net margin; Calder & Marsh at 28.5% and 2.3% is a technical-range distributor with a squeezed bottom line.
Consero and APQC mid-market benchmarks: a finance function at 1.2 to 2% of revenue; the simulated £178k on £11.2m sits at the top of the range, as stated in the profile.
Leeds salary data (Indeed, Totaljobs, CV-Library): credit controllers at £23k to £30k; Dawn at £28k.
APQC order-management benchmarks: 1 to 3% of manually keyed orders contain errors; the simulated 2.5% of lines is at the loaded-engine end of that band.
What AI delivers, and how often it fails
Brynjolfsson, Li and Raymond, NBER Working Paper 31161, the strongest independent study in this field: AI assistance lifted support-agent productivity about 14% on average.
Forrester Total Economic Impact study of an AR-automation platform (vendor-commissioned): around 25% DSO improvement as a multi-year outcome, not a first quarter's.
AR-automation industry data, discounted for vendor interest: a 10 to 15% relative DSO improvement is the defensible first-quarter band; headline claims of 75% reductions were discarded.
Order-capture case studies (Conexiom, Emporix, large mature deployments): error rates falling from 2 to 5% toward under 1% on automated lines, over months; straight-through rates of 50 to 70% in early deployment, 80%+ only at multi-year maturity.
RAND Corporation, 2024: over 80% of AI projects fail, roughly twice the rate of ordinary IT projects, most often on misstated problems and poor data quality. The day-5 master-data sprint in Part six is that finding, lived.
S&P Global Market Intelligence, 2025: 42% of companies abandoned most of their AI initiatives that year; shadow processes and change management, not models, are the usual cause. The week-6 double-keying failure is that finding, lived.
The Klarna reversal, 2024 to 2025, as reported by Bloomberg and others: aggressive AI substitution of service staff partially reversed after quality complaints. The reason both Role Cards keep humans on approvals, escalations and everything ambiguous.
Exhibit 12 · Where the simulation's results sit inside the published evidence
Result
Defensible 90-day band
This simulation
Debtor days improvement
5 to 8 days (10 to 15% relative)
5.8 days (9.5%)
Overdue resolved at reminder stages 1 to 3, no human touch
50 to 70%
63%
Email orders auto-captured by day 90
50 to 70%
61%
Error rate on captured lines
0.5 to 1%
0.6%
Chasing hours recovered per week
6 to 10
3 returned, 2 retained by design
First response on routine queries
hours, from half-days
3.1 hours, from 1.9 days
Every chosen value sits at or below the middle of its band. A simulation that picked the top of each band simultaneously would be exactly the kind of document this one exists to replace.
Terms of the simulation
The fees (£1,650 per Worker per month, £1,950 for the diagnostic) are the simulation's assumptions so the arithmetic can close; the live price list is on grabs.ai.
In the simulated contract, liability for a missed catch is capped at the term's fees; catches are reported with evidence or not at all.
The vault is exported at handover as files and documents in the company's own formats. There is no lock-in, and renewal is at the same rate.
Workers are monitored continuously; the Monday Report carries a data-freshness line, which is how both connector failures in this story were caught.
Every named person, account and supplier in this file is invented. Any resemblance to a real business is accidental.