Free diagnostic checklist

AI workflow leak checklist: find the mess worth fixing first.

Use this as a fast pre-audit screen. If several items are true, the problem is probably not “you need more AI tools.” It is that one workflow needs a clearer operating path.

The useful move is to diagnose the first workflow worth fixing, define where AI can prepare work, and keep human approval where judgment, data quality, or client-facing risk matters.

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Eight leak signals

If these are familiar, the workflow is probably ready for diagnosis.

Each signal includes the practical first fix. None of them require blind autonomy as the starting point.

Leads arrive faster than follow-up happens

Check: New inquiries sit in forms, email, WhatsApp, LinkedIn, or DMs without a clear owner and next action.

First fix: Capture source, context, urgency, and next step in one reviewable place before drafting follow-up.

Calls create notes, not execution

Check: Meeting notes exist, but tasks, client updates, CRM records, and follow-up messages still depend on memory.

First fix: Turn notes into structured decisions, tasks, draft replies, and records that a human can review quickly.

CRM records are always “almost updated”

Check: The source of truth trails behind reality because updates are manual, duplicated, or split across tools.

First fix: Prepare CRM-ready updates from the places where work actually happens, then review ambiguous matches.

Reporting requires archaeology

Check: Every status report needs digging through chats, docs, dashboards, tasks, and browser tabs.

First fix: Create a repeatable evidence trail: what changed, what shipped, what is blocked, and what needs approval.

AI helps individuals but not the workflow

Check: People paste things into ChatGPT, but outputs do not land in the right system or survive handoff.

First fix: Move from isolated prompts to a controlled workflow with source inputs, review gates, and output destinations.

The business is scared of automation for good reasons

Check: There is real risk around wrong sends, bad data, privacy, approvals, or reputational damage.

First fix: Keep humans in the loop for sensitive actions and let AI prepare, compare, summarize, classify, and flag uncertainty.

The same admin cleanup happens every week

Check: A recurring manual process is boring, important, and still not documented well enough to delegate.

First fix: Document the operating path, define the exceptions, and automate the preparation before autonomy.

Nobody can name the first workflow to automate

Check: There are many possible AI ideas, but no ranked decision based on revenue risk, trust risk, and implementation effort.

First fix: Run a diagnostic first. Choose the first workflow worth fixing before buying a bigger build.

Readiness test

A workflow is worth fixing when five things are true.

✓The workflow repeats at least weekly.
✓The current process causes lost time, lost leads, delivery drag, or trust risk.
✓Inputs and outputs can be described in plain language.
✓There is a clear human approval point for sensitive actions.
✓Success can be checked without believing a demo blindly.

Next step

Found three or more leaks? Diagnose before building.

The €99 AI Workflow Audit turns the messy pattern into a leak map, a first-workflow recommendation, and a practical build/no-build decision.

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