Ask a fund administration COO what manual accounts payable costs and the answer usually comes back in processing time: minutes per invoice, headcount at quarter end, the overtime bill. That number is real, but it is the smallest part of the total. The larger costs sit downstream, in exception handling, duplicate payments, reporting delays, audit evidence gathering, and the slow attrition of qualified accountants who did not train to rekey PDFs.
This article puts numbers on each of those, using published industry benchmarks rather than vendor claims, and builds a per-fund, per-year figure from stated assumptions. Every input is visible, so if you disagree with one, change it and re-run the maths against your own book.
What the published benchmarks say
The direct cost of manual invoice processing is well studied. Ardent Partners' AP research puts the average all-in cost of processing a single invoice at $12.88 for organisations without meaningful automation, with an average cycle time of 17.4 days from receipt to close.1 APQC's cross-industry benchmarks, drawn from roughly 1,500 organisations, show a median cost of $5.83 per invoice, with top-quartile teams at $2.07 and the bottom quartile near $10.2 The spread between the quartiles is not a headcount bargain. It is process design: the bottom quartile pays people to do work that software now does reliably.
Nor is manual AP rare. IFOL's Accounts Payable Automation Trends research found 56% of AP teams describing themselves as only partially automated, with 82% still keying invoice data into their accounting system by hand.5
Alternative fund structures sit at the expensive end of these ranges for a structural reason. A single audit or legal invoice may need splitting across a fund, its general partner, a carried interest vehicle, and several SPVs, each with its own cost-sharing methodology and approval chain. One document, fifteen coding decisions. Corporate AP benchmarks understate the touch time, not overstate it.
A per-fund model you can re-run
Here is a deliberately conservative model. The assumptions:
- Invoice volume: 25 supplier invoices per fund per month (audit, legal, custody, directors' fees, registered office, brokerage), or 300 per year.
- Handling time: 15 minutes of staff touch time per clean invoice, covering capture, entity allocation, ledger coding, approval chasing, and payment set-up. Conservative next to the cycle-time data above.
- Loaded cost: £50 per hour for a fund accountant (mid-level salary plus employer costs at Channel Islands rates).
- Exception rate: 14%, the cross-industry average reported in Ardent Partners' benchmarking, with top performers near 9% and laggards above 20%.3 Assume 40 additional minutes per exception.
- Payment leakage: third-party spend of £1m per fund per year, with duplicate and erroneous payments at 0.1% of spend, the low end of the 0.05% to 0.5% range that first-time recovery audits typically find.4
- Audit evidence: 12 hours per fund per year reconstructing approval and payment evidence for the auditors.
The arithmetic:
Total: roughly £6,750 per fund per year, or about £135,000 across a 20-fund book. As a sanity check, the routine-processing line alone works out at £12.50 per invoice, which sits in the same territory as Ardent Partners' $12.88 all-in average, so the model is not exotic.
Stress test: every input above is mid-range or lower. Move to bottom-quartile assumptions (APQC's near-$10 processing cost, exception rates above 20%, leakage at 0.3% of spend) and the figure comfortably exceeds £10,000 per fund per year before any second-order cost is counted.
The costs the model leaves out
NAV and reporting delay knock-ons
An unprocessed invoice is an unrecognised expense. When invoices routinely take more than two weeks to move through the system, accrual estimates diverge from actuals, late invoices land after the NAV cut-off, and the choice becomes a true-up in the next period or a restatement in this one. Neither is expensive in cash terms. Both are expensive in credibility, because the investor reporting timetable absorbs every day of AP delay ahead of it.
"A duplicate payment in corporate AP is an embarrassment. A misallocated expense in a fund is a NAV error, and NAV errors have investors on the other side of them."
Error remediation across entities
A wrong-entity coding decision found at review is not one correction. It is a reversal and a reallocation journal in every affected entity, plus an explanation on file for the auditors. Where the expense feeds a NAV that has already priced subscriptions or redemptions, remediation stops being bookkeeping and starts being an incident.
Staff turnover on rekeying work
Qualified fund accountants leave roles where a large share of the week is keying supplier data into a ledger, and in a small labour market each departure means months of recruitment, agency fees, and a training period during which error rates rise. The benchmark surveys above consistently identify manual data entry as the leading pain point AP teams report about their own jobs.
Key-person dependency
In most manual AP functions, the allocation logic lives in one person's head: which vendor splits across which entities, which client contact approves what, which invoice always arrives wrong. While that person is on leave, throughput halves. When they resign, the error rate spikes for a quarter. None of this appears in a cost-per-invoice metric, and all of it is a direct product of the process being manual.
The controlled alternative
None of this argues for handing payments to an unsupervised machine. It argues for splitting the work correctly: software does the extraction, entity allocation, and coding preparation, and a named person reviews and approves before anything moves, with every step recorded as it happens. That is the design principle behind CoreAdmin: the system prepares, a human decides, and the audit trail assembles itself as a by-product of processing rather than a reconstruction exercise at year end. The evidence-gathering and remediation lines in the model shrink because the work that generated them stops being done by hand.
The per-fund figure is checkable. Take your own invoice volumes, your own loaded cost, and the cited benchmarks, and re-run the model. If the answer lands anywhere near £6,750 per fund, that is what the current process costs every year it stays manual. If you would like to see what the controlled version looks like against your own invoices, a 30-minute CoreAdmin demo is the quickest way to test the assumptions.
Sources
- 1 Ardent Partners, Accounts Payable Metrics that Matter in 2025: average all-in processing cost of $12.88 per invoice and average cycle time of 17.4 days for organisations without meaningful automation. ardentpartners.com
- 2 APQC cross-industry accounts payable benchmarks, reported in CFO.com's Metric of the Month: top-quartile cost of $2.07 per invoice, median $5.83, bottom quartile near $10, from data on roughly 1,500 organisations. cfo.com
- 3 Medius, Benchmarking AP Accuracy, summarising Ardent Partners exception data: average invoice exception rates around 14%, top performers near 9%, laggards above 20%. medius.com
- 4 Transparent, What Recovery Rates Should You Expect From a First-Time Duplicate Payment Audit?: first-time AP recovery audits typically recover 0.05% to 0.5% of audited spend. transparentglobal.com
- 5 IFOL, Accounts Payable Automation Trends 2023 (conducted with SAP Concur): 56% of AP teams only partially automated; 82% still keying invoice data manually. acarp-edu.org