An accounting firm should measure an AI workflow pilot by comparing total effort, output quality, and control performance with the existing process. Include preparation, human review, corrections, and ongoing support. Record failures as well as completed work.
The method below is an operating framework for a small pilot, not a claim of measured A-List client savings. It can be used with an approved AI tool and a simple worksheet; it does not require an advanced analytics platform.
Define the Work Before Timing It
Choose a repeatable task with a clear start and finish. For example, the task might begin when approved client correspondence is available and end when a reviewer approves a follow-up worklist.
Specify the required output and what counts as complete. If one process produces a reviewed worklist and another produces only an unchecked draft, their times are not comparable.
Record the volume and difficulty of each case. Missing documents, unusually long email chains, and conflicting instructions can change the time required.
Establish a Usable Baseline
Observe the current process on representative cases before changing it. Capture the number of cases, selection method, and dates. Keep typical and difficult cases visible rather than selecting only the easiest work.
For a small initial exercise, several matched cases may help identify operational problems, but they do not establish a statistically reliable productivity estimate. Continue measuring through normal operating conditions before generalizing.
Use the same completion standard for the existing and proposed workflows.
Use a Measurement Sheet That Includes Review
Record these fields for every case:
Case reference and task volume, without unnecessary personal information
Preparation and processing minutes
Human review minutes
Correction and rework minutes
Complete, incomplete, or failed outcome
Missing items and unsupported statements
Any unauthorized action, wrong-client exposure, or other critical failure
Reviewer and final disposition
Record setup, training, subscriptions, and maintenance separately. This keeps one-time costs from disappearing inside a favorable estimate of routine time.
Estimate capacity before claiming financial savings
Consider this fictional example. Ten comparable cases take 60 minutes each under the existing process, including review, for a total of 600 minutes. The proposed workflow takes 35 minutes per case including review and corrections, for a total of 350 minutes.
The observed difference is 250 minutes, or about 4.17 hours across those ten cases. If a chosen loaded labor rate is $60 per hour, the equivalent capacity value is $250.
Assume pilot setup and training cost $180, plus $40 of incremental tools for the measurement period. The illustrative net capacity value is then $30 after $220 of incremental costs. That is about 13.6 percent of those costs, using the chosen capacity valuation.
This is not $30 of cash profit. The example does not show that payroll fell or that freed capacity produced additional paid work. A firm should report cash savings, capacity released, and realized additional revenue separately, with evidence for each.
Make Quality a Condition of Success
A faster process may still be unacceptable if it omits a material request or produces an unsupported accounting conclusion. Set the quality requirements before running the pilot.
Define stop conditions for critical failures. An unauthorized message, cross-client disclosure, or unsupported system change should not be averaged away by nine successful cases.
Stop rules for serious failures. If a serious failure is confirmed, stop that workflow at once — even if other cases looked faster. Serious failures include at least:
Unauthorized client communication or action
Cross-client data exposure or wrong-client output
Unsupported material accounting conclusion or system change that cannot be traced to approved source data
One serious failure ends the pilot for that process until the cause is found, fixed, and the updated checks are re-tested on typical cases. Smaller quality problems — missing items, unsupported statements caught in review, or incomplete outputs — are still counted against your quality rules. They do not automatically stop the pilot unless they pass a limit you set in advance (for example, too high a share of cases or the same error repeating).
Record whether reviewers can understand and verify the output. A draft that requires reconstructing the entire source trail may create more work than it removes.
Use product usage reports as supporting evidence
Microsoft offers reporting for Copilot adoption and organizational impact, including usage reports and ways to include business measures. Which reports a firm can see depends on its Microsoft setup and licenses.
Use activity reports to understand whether people are using a capability. Use task records to determine whether the work improved. A high number of prompts or active users alone does not establish a return on investment.
End with an Operating Decision
Choose one of four dispositions: continue the limited pilot, revise the workflow, expand it within an approved scope, or stop.
Document the conditions behind that decision. Include the workload tested, known limitations, unresolved exceptions, owner, and next review date. Recheck after a material change to the tool, inputs, permissions, or process.
Should We Report a Percentage Improvement?
Only with the underlying counts, dates, completion definition, and limitations. A large percentage from a handful of easy cases can mislead.
What If Review Takes Longer Than Preparation Saves?
Record the result honestly. Narrow the task, improve its inputs, or retain the existing process.
A-List’s workflow approach starts with the work and the controls around it. Bring a recurring process and a clear completion standard to discuss an appropriate pilot.
The calculations above are illustrative operational examples, not a forecast or a financial return guarantee.
Sources
Microsoft Copilot measurement and reporting
Bring one recurring accounting process. We can discuss its inputs, review controls, and a practical plan for testing whether an AI-assisted workflow improves the work.
KEY TAKEAWAY
Compare like-for-like work using total preparation, review, and correction time. Quality and approval controls are part of success — not extras. A faster draft is not a savings unless the finished work still meets the firm’s checks.