The demo works.
Daily use has stalled.
Identify the operating blockers behind an AI pilot: missing dependencies, unreliable exceptions, unclear ownership or economics that do not hold up in practice.
Bring one stalled pilot into focus
This review suits a team with an existing pilot or AI-assisted process and a concrete obstacle to daily use. We examine what has been demonstrated, where staff intervene and what remains untested.
- A pilot depends on manual preparation that was omitted from the demonstration.
- Users avoid the system because corrections take too long.
- The team and vendor disagree about what “working” means.
- Exceptions have no owner, recovery route or agreed acceptance threshold.
Evidence to bring
Provide the intended use case, original success criteria, representative outputs, known failures, available usage and effort records, and relevant provider explanations. Where helpful, we agree a remote walkthrough with the people doing the work.
What the recovery review delivers
- A blocker and dependency assessment supported by the available evidence.
- A clear distinction between demonstrated capability and untested operating claims.
- A recommended path: narrow the task, redesign the workflow, gather evidence or pause the use case.
- A proposed supervised trial with responsibilities, measures and stop conditions.
- A findings meeting; optional progress review under a separate scope.
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.
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