A complete, illustrative AI Operations Audit for a representative mid-market finance team. The same structure, rigor, and deliverable you would receive, with every figure replaced by your own once we run it on your operation.
The one-page read for a CFO: where you are, what it is costing, and what we recommend.
A 35-person finance and operations team runs twelve core processes that are repetitive, rules-based, and document-heavy: accounts payable, the close, reconciliations, billing, reporting, and more.
That work absorbs roughly $2.41M a year in fully loaded effort, rework, and slow cycles. It scales with transaction volume, competes with analysis for the team's time, and is the first thing to break at quarter-end.
About 60% of it can be done by AI on Claude, with every judgment, approval, and exception kept with your team. That is $1.45M of recoverable capacity a year, captured in waves, paying back in under three months.
Before any solution, the Audit quantifies the cost of doing nothing. The $2.41M is not just salaries: it is the labor of the work, the rework when it goes wrong, and the cost of slow cycles.
The hours your team spends keying, matching, reconciling, and formatting, valued at a blended fully loaded rate of $68/hour.
The cost of doing work twice: exceptions chased, entries corrected, and reconciliations reopened after sign-off.
The cost of slow: a ten-day close, late board packs, and decisions made on numbers that are already weeks old.
Every number here comes from the same five-step method, measured from your own volumes, hours, and error rates. No borrowed benchmarks.
Interviews with your team plus extracts from your ERP, close, and billing systems to catalog every meaningful process.
Hours by process and by role, separating steady-state from peak periods like close and audit.
Exception rates, restatements, late cycles, and the hidden cost of doing work twice.
A weighted five-factor score per process, shown below, that ranks the opportunities.
Recoverable value from labor, rework, and cycle time, at conservative rates, with all review retained.
Each process earns a 0 to 100 score, a weighted blend of five factors. It is what ranks the opportunities in the heatmap and sets the build sequence.
Are the inputs digital and reachable, or trapped in paper, email, and people's heads?
Is the work governed by clear, repeatable rules, or open-ended professional judgment?
How often does the work go off-script and need a human decision?
Can AI reach the systems of record safely, with the right permissions?
How tight are the audit, control, and regulatory requirements around the task?
Twelve processes scored across the five dimensions that drive value, with the composite automatability score on the right. The hotter the row, the bigger the prize. Accounts payable, the close, and reconciliations rise to the top.
| Process | Volume | Hours | Error & rework | Automatable | Value at stake | Score |
|---|---|---|---|---|---|---|
| 1Accounts payable & invoicing | Very high | Very high | High | High | Very high | 88 |
| 2Month-end close & consolidation | Medium | Very high | High | Medium | Very high | 82 |
| 3Account reconciliations | High | High | Very high | High | High | 85 |
| 4Revenue recognition & billing | Medium | High | High | Medium | High | 72 |
| 5FP&A: budgeting & forecasting | Medium | High | Medium | Medium | High | 68 |
| 6Management & board reporting | High | Medium | Medium | High | Medium | 76 |
| 7Accounts receivable & collections | High | Medium | High | High | Medium | 74 |
| 8Procurement & vendor management | Medium | Medium | Medium | Medium | Medium | 61 |
| 9Payroll & expense management | Medium | Medium | Medium | High | Medium | 64 |
| 10Tax & compliance prep | Low | Medium | Medium | Medium | Low | 55 |
| 11Treasury & cash management | Low | Low | Medium | Medium | Low | 52 |
| 12Audit support & documentation | Low | Low | High | High | Low | 58 |
Each process plotted by the value it returns against the effort to build it. Bubble size is annual value. The top-left quadrant, high value and low effort, is where the first wave goes.
High value, low effort, fast payback. These are Wave 1.
High value but heavier builds. Waves 2 and 3, funded by the wins.
Lower value, easy to add once the platform exists. Ongoing.
Lower value, higher effort. Park until the basics pay off.
Every process, ranked by recoverable value, with the share AI can take on and the build sequence. This is the spine of the engagement: the order in which value gets captured.
Of the $2.41M you spend today, $1.45M is recoverable and $0.96M stays with your team as judgment, review, and exception handling. We do not assume the work vanishes. We assume the routine part gets done by AI and the hard part stays human.
For the highest-value processes, the Audit goes one level down: how the work flows today, where it breaks, exactly what AI takes on, what stays human, and the return on that single build.
Value builds as each wave ships and then compounds at run-rate. Against a total three-year investment of about $405K, the program returns roughly $3.6M in recovered capacity.
45% of today's $2.41M cost at full adoption. Even here, the program pays back in under six months.
60% of today's $2.41M cost (= recoverable) at full adoption of the per-process rates. The figure used throughout this report.
70% of today's $2.41M cost at full adoption, before extending into more processes.
| Annual value | 70% adoption | 85% adoption | 100% adoption |
|---|---|---|---|
| 50% automation | $0.84M | $1.02M | $1.21M |
| 60% automation | $1.01M | $1.23M | $1.45M |
| 70% automation | $1.18M | $1.43M | $1.69M |
Highlighted cell is the base case: 60% × $2.41M at 100% adoption — the same $1.45M as the process ranking. Year 3 on the chart ($1.50M) is that run-rate plus a small timing carry; the steady-state figure used everywhere else is $1.45M. 85% adoption at the same automation rate is $1.23M, which is the more conservative adoption case. Adoption = share of in-scope volume actually run through the live automations.
Value is captured in waves over roughly six months. Quick wins fund the bigger builds. Each wave is a fixed-scope engagement that stands on its own, so you can stop, hold, or accelerate at any point.
The honest version: what could go wrong, and how the engagement is built to handle it. Every risk carries a named mitigant.
Adoption. The team keeps doing the work the old way and the automation goes unused.
Phased rollout, hands-on training, and a champion per process. Automations are built into the tools your team already uses, not a new app to learn.
Data quality and access. Inputs are messy, or systems of record are locked down.
The free Snapshot validates data readiness before any build. We scope only what the data supports and fix the inputs first where needed.
Model error. The AI proposes something wrong and it slips through.
Confidence thresholds, exception escalation, and a human sign-off on every output. Low-confidence items route to a person; nothing posts unreviewed.
Control and audit concerns. Automation is seen to weaken financial controls.
Human-in-the-loop by design, a full audit trail, and segregation of duties preserved. The build is made to pass internal and external audit.
Key-person and black-box risk. The build becomes something only we understand.
Documented and owned in your environment. A light retainer keeps it healthy, and you can run it without us.
Security and confidentiality. Sensitive financial data is exposed.
Everything runs in your own Claude environment. No data is retained outside your systems, and access is scoped to least privilege.
An AI-in-finance maturity read. Most mid-market finance teams sit between exploring and piloting. This Audit is the bridge from there to scaling, where the value compounds.
Occasional personal use of AI. No process, no governance.
Curiosity and trials, but nothing in production yet.
Typical starting pointOne or two automations live, measured, and trusted.
Automation across the operation, governed and owned.
AI is how the team works. Continuous improvement.
Automation does not mean unattended. Every build keeps your controls intact and your team in the approval seat.
AI prepares and proposes; your team reviews and approves. A review queue holds every item until a person releases it.
Inputs, outputs, and approvals are captured automatically, so the work stands up to internal and external audit.
Builds run in your own Claude environment and your own systems. We do not hold your data on the side.
Preparer, reviewer, and approver stay separate. Automation slots into your existing control structure.
Anything outside policy or a confidence threshold is routed to a person, not pushed through.
Each automation is documented and handed over, so it keeps working whether or not we stay involved.
Automation rates are deliberately conservative. The base case assumes full adoption. Here is exactly what the model assumes, so you can pressure-test every figure in this report.
| Blended loaded rate | $68 per hour, fully loaded for salary, benefits, and overhead. Adjusted to your actual rate in a real engagement. |
| Automation rates | 55 to 65% by process, deliberately conservative. The realistic ceiling on most of these processes is higher. |
| Adoption | The $1.45M base case assumes 100% of in-scope volume runs through the automations. 85% adoption is the sensitivity case ($1.23M at a 60% automation rate), and that is the more conservative adoption outcome. |
| Hours baseline | Management estimates plus system extracts, separating peak periods like close from steady-state. |
| Value definition | Recoverable value counts labor, rework, and cycle-time drag, not labor alone. |
| Headcount | No layoffs assumed. Recovered capacity is redeployed to analysis, controls, and growth. |
| Judgment & review | All approvals, exceptions, and sign-offs stay with your team. AI prepares; people decide. |
| Investment | The Audit, the wave builds, and a light retainer, roughly $405K over three years. |
| Status of figures | Illustrative sample for a representative mid-market company. Not a client result. Your Audit uses your numbers. |
No. It is an illustrative sample for a representative mid-market finance team. Your Audit uses your volumes, hours, and error rates — every figure replaced.
The Snapshot maps typically 2–3 highest-value processes and automates one live. The Audit maps the whole operation: heatmap, value bridge, ROI, roadmap, and risk register.
No. That figure is illustrative for this sample company. Labs and samples size the shape; Snapshots and Audits measure your operation.
Every figure here is illustrative. The free Snapshot puts a real, measured number on your highest-value processes — typically 2–3, with one automated live — before you commit to anything.