Write a task that has a checkable output
A useful pilot starts with work, not a model. “Use AI in our business” is not a test. “Draft an internal summary of these synthetic meeting notes, preserving decisions and unresolved questions” is. Decide what a correct result looks like and who can recognize it. For a first pilot, choose a reversible support task rather than a decision that changes someone’s rights, finances, employment or access to services.
Draw a boundary around the data
Identify which inputs are public, internal, confidential, privileged or regulated. The fact that a tool accepts an upload does not establish that you have permission to send the file. Use synthetic or properly redacted examples while designing the workflow. Confirm the actual provider, retention settings, contractual obligations and export path before introducing real information. Do not put passwords or recovery codes into prompts, and do not assume a public website is an approved client-document intake system.
Make human review part of the workflow
Give one named role responsibility for checking the output. A reviewer needs the source material and a clear standard, not just an attractive generated answer. Separate factual errors, omissions and tone problems. For summaries, check names, dates, numbers and decisions against the source. For recommendations, ask what assumptions were introduced. If the output requires specialist judgment, it should remain a draft for the appropriately qualified person. Review effort is part of the cost of the pilot.
Test the awkward cases
Normal examples are only part of the story. Try incomplete inputs, contradictory information, long documents and requests that should be refused or escalated. Record whether the system acknowledges uncertainty or fills gaps with invented detail. Define stop conditions in advance: unexpected disclosure, unverified material claims, a review burden that exceeds the benefit, or inability to explain how a result was produced. A failure is information, not a reason to silently lower the standard.
Measure value after review
Compare the complete workflow with the old one, including preparation, checking, corrections and maintenance. Keep a small evidence log of what worked and what did not. If the pilot is useful, expand one dimension at a time rather than adding more data, more users and more autonomy simultaneously. The objective is dependable assistance within a known boundary—not AI for its own sake.
Drafted with AI assistance and prepared as general operational guidance. This is not legal, regulatory or individualized professional advice. Use your own approved systems for confidential information.