The pilot does not scale.
A controlled demo works, but a wider rollout stalls. We might compare pilot and live conditions: data, permissions, integrations, workload and the work people still do manually.
The service in context / AI initiatives
AI rollout stalled?
Find out why before investing more.
The pilot looked promising. Now quality, adoption or cost makes the next investment hard to justify. Apply Blatt's independent business and technology diagnostic to the initiative before choosing a fix.
Discuss your AI initiativeFour weeks after agreed access is available. Scope and fixed fee agreed in writing before work starts.
Possible starting questions
What is happening beyond the demo?
These are hypothetical situations, not client cases or diagnoses. We agree one consequential question and test the explanations that could change your decision.
The quality is not good enough.
Outputs look convincing but fail important tasks. We might test evaluation criteria, source coverage, error patterns and review requirements against actual business use.
Employees do not use it.
The tool is available, but people keep working around it. We might examine workflow fit, trust, incentives and added effort before assuming the answer is more training.
The economics do not work.
Usage grows without the expected return. We might compare model, integration, supervision and rework costs with measured time saved or business outcomes, rather than relying on demo estimates.
Investigate before restarting
An independent diagnosis. Not another implementation pitch.
Our diagnostic focuses on one agreed business question or connected operating area around your AI initiative. Senior researchers connect authorized records, targeted interviews and technical evidence, rather than assuming the model, vendor or team is to blame.
Explore the diagnostic method01 / Diagnose
Separate verified explanations from open questions.
The operating map connects the relevant workflow, data, software and responsibilities. Findings show which explanations have been verified, which remain interpretations and which need more evidence, with sources and limits attached.
02 / Protect
Decide what is worth keeping before spending more.
A disappointing result does not mean everything should be replaced. Identify assets worth retaining, such as useful integrations, evaluation data or working process changes, alongside evidence-backed options to pause or stop investment.
03 / Prioritize
Know what to fix first and how to check it.
Review an ordered 30/60/90-day plan with leadership: proposed owners, dependencies, a brief for the first recommended change and validation checks before the next investment. Where evidence is missing, the next step may be a bounded test rather than a rollout.
From findings to decisions
A practical next move. Not another blind restart.
Review the evidence and proposed priorities with your leadership team. The recommendation may be to repair part of the implementation, change the operating process, run a targeted test or stop further investment.
Research and decision support, not a guarantee of recovered investment or a rescued project. Any subsequent implementation is agreed separately.