Before making an AI-configured approval workflow live, turn its policy into a table of requests and expected routes. Include the exact threshold, cases requiring several reviewers, and inputs the process cannot safely classify. Then execute those cases in a suitable test environment and inspect the resulting state. A saved form or the assistant’s “done” message does not establish that the approvals work.
This matters when operations teams ask an assistant to build an equipment request, training-budget process or service intake. The business requirement may fit in a paragraph, while its implementation spans fields, conditions, reviewer assignments and completion rules. This guide proposes a way to review that translation. All equipment-policy rules and test cases below are fictional; we have not configured or independently tested a workflow product.
Vendor research illustrates the configuration problem
OpenAI’s 6 October 2026 account of its Ironclad collaboration describes research tasks involving agreements, approvals and reusable terms. It emphasizes checking whether configured processes handle the situations they were meant to support, rather than merely completing individual steps.
The vendor evaluated eleven research tasks using detailed criteria. Its reported time estimates are simulated, and the account explicitly limits the results to those tasks. They are not measured customer time savings or independent evidence that an organization’s approval process is ready. This article draws on the evaluation question, not a prediction of performance for a current assistant.
Our editorial recommendation is to make the expected policy behavior reviewable before configuration starts. That gives the process owner a way to identify an incorrect interpretation even when the assistant produces a tidy diagram and plausible field labels.
Separate policy decisions from configuration choices
Consider a fictional equipment-request process with these approved requirements:
- Every valid request needs manager approval.
- A total of EUR 5,000 or more, including tax, also needs Finance approval.
- Equipment that will store personal data also needs Security approval, regardless of amount.
- Currency, total amount and the personal-data answer must be present and valid. Unsupported currencies go to clarification rather than automatic conversion.
- The request completes only after every required approval. A rejection stops it; an unavailable reviewer leaves an exception for the process owner.
These are invented rules for this example, not recommended purchasing thresholds or compliance requirements. In a real assignment, the policy owner must resolve the amount basis, comparison operator, currency treatment and review responsibilities. An assistant should not invent them from familiar procurement patterns.
Keep those decisions separate from choices such as field names, display order or notification wording. If the policy only says “large purchases need Finance,” the configuration task has an unresolved requirement. Ask for the threshold and how equality is treated before choosing a condition. Continue independent work, such as identifying the existing form fields, while that decision remains open.
Build the expected-route table first
For the fictional policy, the following cases specify required reviewers before any approval has been granted. “Hold” means the request cannot advance to an approval-complete state until the input issue is resolved.
| Case | Request input | Expected route or state |
|---|---|---|
| Just below threshold | EUR 4,999.99; no personal data | Manager |
| Exact threshold | EUR 5,000.00; no personal data | Manager and Finance |
| Just above threshold | EUR 5,000.01; no personal data | Manager and Finance |
| Independent Security rule | EUR 100; personal data | Manager and Security |
| Combined requirements | EUR 5,000; personal data | Manager, Finance and Security |
| Missing amount | EUR; personal-data answer supplied | Hold for amount clarification |
| Unsupported currency | USD 5,000; no personal data | Hold for currency clarification |
| Missing classification | EUR 100; personal-data answer blank | Hold for classification clarification |
These are proposed acceptance cases, not executed results. The three adjacent amounts expose a common configuration distinction: “greater than” and “greater than or equal to” behave differently at the threshold. The combined case checks whether two additional reviews accumulate or whether one condition accidentally replaces the other.
The blank classification is separate from “no.” A default false value would route an unanswered question as though the requester had supplied a negative answer. The unsupported-currency case tests another assumption: a numerical comparison is meaningless here unless the amount is expressed on the approved basis.
Ask the assistant to map each row to the fields, conditions and process elements implementing it. The process owner should review the expected result independently of that mapping. A test copied from the generated configuration can reproduce the same mistaken interpretation and still pass.
Inspect saved configuration and executed requests
First inspect what the application actually saved. Confirm the comparison operator, value types, amount basis, required fields and reviewer groups. Check whether a displayed “5,000” is stored as the intended number and whether the condition reads the total field rather than a similarly named subtotal. A screenshot of the form alone cannot establish the behavior of its routing conditions.
Then execute the cases against the intended workflow revision. Use synthetic requests in an environment that will not trigger real purchases or inappropriate notifications. Identify which version is active: editing a draft and running a previously published version are different operations.
Inspect the required-reviewer set and resulting state in the application. For a combined case, approving only the manager’s task must not complete the request. Verify the remaining reviews still exist and are required. Exercise a rejection and the unavailable-reviewer exception too, using the policy’s chosen behavior.
This is where a text-only review reaches its limit. If the team can inspect configuration but cannot execute requests, record the process as configured and behavior unverified. Do not replace missing execution evidence with the assistant’s explanation of how the process ought to behave.
Use application evidence rather than narrative confidence
WorkArena++, published at NeurIPS 2024, studies composed enterprise workflows. Its task validators can inspect application state, including the page and database, to determine whether a task was solved. The inspected February 2025 manuscript revision also describes important limits: the workflows are confined to ServiceNow, and the benchmark does not evaluate safety against malicious behavior.
That research design supports checking an outcome outside the agent’s own account of success. Its historical model results do not establish present-day performance in a different workflow product. Nor does passing our proposed case table establish security, authorization or complete policy coverage.
For each executed case, retain the input fixture, workflow revision, expected route, observed reviewer set, observed state and supporting application reference. Mark a case unverified if the evidence is unavailable. Record an incorrect route separately from an unavailable test environment so the next person knows whether to fix logic or restore verification capability.
Distinguish AI construction from AI execution
An assistant that configures a fixed workflow creates a different testing problem from an agent making decisions inside each live request. The first requires checking the generated artifact and its behavior. The second also requires evaluating repeated model behavior, tool choices and exceptions during execution.
In his 27 August 2026 Camunda practitioner article, Aleksander Dytko separates process wiring tests, live-model tests and consistency across runs. He also distinguishes assertions about the path taken from grading the generated output. This is vendor-affiliated implementation guidance, not an independent evaluation of our example or a cross-product compatibility guarantee.
Apply that distinction to the actual design. A fixed numeric routing condition should be checked directly. If a model interprets free text to decide whether equipment stores personal data, test that classification separately and inspect how uncertain results reach clarification. Correct downstream routing cannot compensate for an unsupported classification supplied upstream.
Avoid evaluating everything through a model judge. The exact required-reviewer set and whether a request completed are application-state questions. A readable justification is useful evidence of the model’s explanation, but it is not a substitute for those checks.
Make the release decision specific
Give the process owner a short record of approved policy decisions, executed cases, failures and unresolved coverage. Distinguish who may edit the process from who may approve a particular purchase. Authorization to configure a workflow does not itself confer approval authority for its requests.
Our guide to agent action permissions covers the separate question of enforcing what an agent may do. The shared-record version-check guide addresses changes made against stale state. Neither replaces checking whether this workflow implements the intended policy.
Start with one bounded process, an accountable owner and an explicit release decision. When a threshold, classification rule or reviewer assignment changes, revise the affected cases and rerun them against the new version. Report what passed and what remains unverified. That makes a business rule inspectable after the assistant has finished building it.