The Expert Sees The Problem After The Demo
Consider an illustrative service company building an assistant to prepare incoming requests for scheduling. The development team creates a convincing demonstration using complete examples. The service planner sees it near the end and immediately asks what happens when a customer gives the wrong equipment model.
That question changes the workflow. The assistant cannot safely treat every named model as confirmed. It needs to identify uncertainty, request the right clarification, and know when the planner must decide. The planner's contribution was needed before the screen and success criteria were settled.
I would bring the expert in through a small set of concrete cases. Ask for a routine request, a misleading one, an incomplete one, and a case that requires judgment. Those examples can give the team a much more useful starting point than a broad instruction to 'include the business' in the project.
Ask For Decisions And The Facts Behind Them
For each case, the planner would explain what should happen next and which facts support that decision. The team would record the expected outcome, required information, acceptable uncertainty, and the point where the assistant must ask for help.
The aim is not to turn every detail of the planner's experience into a universal rule. Some decisions depend on context that is unavailable at intake. The useful result may be a precise question or a clear handoff to the expert.
This approach makes disagreements visible early. If two experienced people handle the same case differently, the team should investigate why before training the assistant to imitate either one. There may be an unstated distinction, an outdated practice, or a genuine choice management needs to resolve. Software cannot remove that ambiguity by producing a confident answer.
Budget Expert Time As Part Of The Build
Suppose, illustratively, the planner spends two hours selecting and discussing ten representative cases and another hour reviewing the first outputs. Those three hours are part of the implementation cost. They should not be treated as an interruption the expert must absorb invisibly.
If late discovery of the same issues would otherwise require six hours of rework, early participation could be worthwhile. That comparison is hypothetical until the project measures it. The team should record the time actually spent and the changes the cases caused.
The ongoing cost matters too. A useful assistant may still require the planner to review exceptions or update examples when service rules change. The objective is a better allocation of expert attention, not an unsupported promise that domain knowledge can be captured once and then removed from the process permanently.
A Proposed SynHy Case Workshop
We could structure a short working session around one intake decision. The planner would bring representative requests with unnecessary private details removed. The team would identify the facts needed, the proposed next action, and the evidence required to consider the intake ready.
AI could help organize the examples and draft candidate instructions. Ordinary automation would enforce required record fields and preserve the expected outcome for each test case. The domain owner would confirm the rules and distinguish general guidance from case-specific judgment.
The output would be a small, inspectable case set and an agreed workflow boundary. It would not need to become a large manual before the first build. The team would have enough material to construct a focused prototype and enough evidence to recognize when the prototype behaves incorrectly despite producing plausible text.
One Misidentified Model Changes The Design
A Correction Can Mean Several Different Things
When the expert rejects an output, ask what kind of change is needed. A missing fact may require a better intake question. A wrong interpretation may require clearer instructions. A real policy conflict may require a management decision. A unique exception may belong only to that case.
Treating every correction as a prompt edit can hide those differences. The team might add more wording while leaving the missing source or inconsistent business rule untouched. Record the reason for the correction so the next build addresses the actual cause.
The domain owner should also be able to say that the expected outcome is still uncertain. That case can remain outside the assistant's routine scope while the business resolves it. A useful test set includes explicit limits; it does not have to pretend that every difficult judgment has already been reduced to a deterministic answer.
| Current Illustrative Pattern | Proposed Pattern |
|---|---|
| Ask the expert to approve a finished demo | Use their cases to shape the first design |
| Test only routine examples | Include missing, conflicting, and unusual requests |
| Treat corrections as wording edits | Decide whether the case reveals a rule or an exception |
Keep Expert Participation Practical
The planner needs a manageable role, protected time, and a clear decision to make. Sending a large collection of generated text with a request to 'review for quality' is not a good use of that person's attention. Present the source case, expected outcome, actual result, and specific discrepancy together.
A backup expert can help with routine review when the primary owner is unavailable. If they disagree on an important boundary, the process should return to the domain owner or responsible manager. The assistant should not select whichever interpretation allows it to finish the task.
The diagram includes that return path. Expert participation is part of both design and evaluation, with a defined purpose at each step. The planner helps establish the boundary, reviews cases near it, and contributes to the rollout decision based on observed behavior rather than general enthusiasm for the tool.
Test What Was Not Used To Tune The Draft
Use some examples to improve the workflow, then evaluate it on additional representative cases the team did not repeatedly use while editing the instructions. Keep their expected outcomes under the domain owner's control so the comparison remains meaningful.
The evaluation should include missing information, contradictory sources, unusual requests, and cases that are correctly ready to proceed. An assistant that asks for clarification on everything may avoid some errors while creating an unusable intake process. The team needs to evaluate useful completion as well as appropriate escalation.
Record review time, corrections, and outcomes after the handoff. If the scheduling team returns a supposedly complete intake because a required fact was omitted, that belongs in the result. The pilot should follow the work far enough to see whether the domain expert's acceptance criteria served the next person in the process.
| Measure | Purpose |
|---|---|
| Expected outcomes matched | Checks the behavior the expert defined |
| Boundary cases handled correctly | Tests when the assistant should ask or stop |
| Expert time required | Makes participation a planned resource |
| Corrections after acceptance | Checks whether apparent success held up |
The First Build Needs A Clear Boundary
I would start with one request type and one preparation decision. The team needs representative cases, approved source material, the planner's participation, and a named owner for rule changes. Define what the assistant may prepare and what still requires a human decision.
Build the smallest version that can process those cases and expose its supporting facts. Test the exception handoff before adding volume. The person receiving the exception should be able to understand the issue without repeating the entire intake investigation.
Expand when the team can explain the accepted outcomes, unresolved cases, and ongoing expert effort. A new request type may introduce different sources or decision boundaries. Reuse the working components where appropriate while asking the relevant expert to define what changes. Similar wording in two workflows does not establish that the same judgment applies to both.
Make Expertise Visible In The Work
The practical value of involving domain experts early is that their knowledge changes what gets built and how success is judged. A meeting invitation alone does not establish that contribution. A representative case that alters the intake rule does.
At SynHy, we could help turn one expert's recurring decisions into a small set of examples the team can discuss, build against, and test. Bring the routine case, the case that fools new staff, and the case where you would want the assistant to stop and ask.
The intended result is a workflow with understandable boundaries and useful evidence behind its rollout decision. The expert remains responsible for the judgment that requires expertise, while the assistant takes on preparation that has been defined carefully enough to evaluate.