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Diagnose · AI Workflow Audit

Know what to fix.
Then decide what to build.

We examine how work moves through your business: the tools, manual steps, and handoffs. You get a clear recommendation on what to improve first and where automation or AI would help.

An advisor-led service. Start with a 30-minute review to discuss the workflow and agree the audit scope.

The deliverable

A map. A diagnosis.
A place to start.

Your audit is a working document: the current workflow, its weak points, and a prioritized plan with the reasoning behind it.

Sample audit · Inquiry handling

From first inquiry to booked work

Fictional service business. Illustrative, not a client result.

Current workflow

  1. Inquiry arrivesPhone or web form
  2. Waits in an inboxNo assigned owner
  3. Someone repliesWhen they check
  4. Booking or follow-upTracked from memory

Findings & recommended order

  1. Assign ownership first

    Two channels, no shared record. An inquiry can wait without anyone being responsible.

    Create one record per inquiry, assign an owner, and set a response deadline.

  2. Make follow-up visible

    An unanswered quote has no scheduled next step. Silence leaves no trace.

    Add a dated follow-up task and record whether the inquiry is booked, open, or lost.

  3. Assess AI after that

    Reading free-text inquiries may take time, but the volume and exceptions are still unknown.

    Review real messages before considering AI classification or draft replies. Keep a person responsible for exceptions.

Recommended first change

Introduce a shared inquiry record with an owner and a deadline. Basic routing rules can address the first gap; AI is a separate decision.

Validate before building

Inquiry volume, existing tool capabilities, response coverage, and who handles exceptions.

Measure the change

Time to first response, unassigned inquiries, and overdue follow-ups. Establish a baseline before estimating benefits.

How we work

Built from your actual workflow.

  1. Walk through the work

    We sit with the people doing it and trace recent examples across your tools, including delays, manual effort, and failed handoffs.

  2. Test the options

    We assess impact, repetition, data access, effort, and risk. The recommendation may be a process change, an integration, or AI assistance.

  3. Agree what comes first

    You receive the workflow map, findings, and a sequenced recommendation. We review the assumptions and what to measure with you before scoping a build.

Your next step

Bring one workflow.
Start there.

Use the 30-minute AI Systems Review to discuss where work gets stuck and whether an audit would be useful.