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

What we investigate

The evidence

Representative inputs, outputs, corrections and the original task requirements.

The surrounding process

Source information, responsibilities, handoffs and how staff decide whether an output is usable.

The total effort

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.

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

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