Ten workflows, one report
Fluent and wrong is still wrong.
Your team already runs AI workflows. Some of them produce answers that read well and are not right. Send us ten of them and get back a report that says which, why, and what to change.
What it is
Ten of your real workflows, scored.
A workflow here means a prompt or chain your team actually runs, with a real input and a real output. Not a demo. Not a toy example.
Each one gets scored on three axes. Intent: did it do what was meant, not just what was typed. Consequence: what happens downstream when it is wrong. Outcome: did the result hold up. The same structure as the free Don't Kick Test, applied ten times, by a person.
A human writes the report. Each finding names the workflow, the failure it is exposed to, and a specific change.
What you leave with
A report each owner can act on.
Fit and limits
What it is, and is not.
For you if: AI output already reaches your customers, your documents, or your decisions, and nobody currently checks it on the way out.
Not: a certificate, an automatic scanner, or a promise that your AI stops being wrong. We do not promise that. We promise you will see it when it is.
Pricing shape: per engagement for the one-time audit, retainer for the re-runs. Quoted flat, before work starts.
The first step
Pick your ten.
List the workflows your team runs most, or the ones you trust least. Either list works. We confirm scope and quote before anything starts.
Correct us
Catch us overstating?
If a line on this page claims more than we can show, tell us which line. We check it and fix it in the open.