AI workflow diagnostic
Too much time checking AI output?
Investigate one underperforming workflow: recurring corrections, missing information, unclear handoffs and effort that has moved rather than disappeared.
When this review fits
- Employees repeatedly rewrite, recheck or reject AI output.
- The team cannot explain why results vary across similar tasks.
- Reported time savings exclude human review and correction.
- Changing the prompt or model has not resolved the recurring problem.
What we investigate
Representative inputs, outputs, corrections and the original task requirements.
Source information, responsibilities, handoffs and how staff decide whether an output is usable.
Available time records or agreed estimates for drafting, reviewing, correcting and handling exceptions.
What you supply
A short workflow description, selected anonymised input/output pairs, examples of corrections, the intended standard and available time or cost records. Staff explanations help identify hypotheses. Missing logs or unmeasured effort will be recorded as limitations.
One workflow. A defined first engagement.
- Scope the problem. Agree one workflow, its boundaries, the available records and the question the review must answer.
- Examine the evidence. Review selected inputs and outputs, correction examples, staff explanations and available operating records.
- Receive written findings. Get an evidence register, likely causes, unresolved questions and prioritised recommendations.
- Discuss the next trial. A findings meeting turns recommendations into proposed owners, checks and acceptance criteria.
- Review progress if needed. An optional follow-up examines results after your team makes changes; it is scoped separately.
Before you commit: we agree the sample size, meetings, evidence checks, exclusions, delivery date and fixed scope fee in writing. Implementation, production testing and specialist security or engineering assurance require suitably qualified teams.
Your diagnostic deliverables
- A workflow map showing the points where work stalls or returns to a person.
- A findings register linking observations to records and separating hypotheses from established facts.
- Prioritised recommendations, including workflow redesign where supported.
- A proposed trial plan with measures, owners for your agreement and acceptance criteria.
- A findings meeting to examine conclusions and agree next checks.
Where is AI costing your team time?
Describe one workflow, one recurring failure and the business consequence. Start with an anonymised description; we will clarify the scope, evidence, turnaround and fee before work begins.
Request a scoped diagnostic