Diagnostic
Find where one AI-assisted workflow keeps breaking before building another bot, agent, or automation on top of it.
One recurring workflow. Real source material. A clear diagnosis of where context routing, evidence, decisions, handoffs, and review break down.
Start with one workflowWhen this is useful
The AI output depends on background knowledge that never survives from one chat, tool, or person to the next.
People still clean up, correct, and second-guess outputs without a clear QA or review loop.
Meetings, chats, and notes produce useful fragments, but not durable decision memory.
A bot or agent would only move the broken workflow faster unless the source of truth is fixed first.
Good first workflows
How the diagnostic works
Pick one recurring workflow where AI is already involved and the failure is visible.
Share the inputs, prompts, outputs, examples, review notes, and source-of-truth traces that exist now.
Identify where context routing, evidence, ownership, review, and decision memory break down.
Leave with a clear next step: fix the workflow, run a setup sprint, or do nothing.
What gets reviewed
What you get back
It shows where the workflow fails now: bottlenecks, handoffs, review points, source-of-truth gaps, and what should happen before anything gets automated.
Not included
Workflow
Send a short description of what goes in, what AI produces, who reviews it, and where the workflow keeps losing context, evidence, or ownership.