Service · Discover

Find where AI can actually improve your business.

A fixed-price audit that shows the tasks AI should take over first, and how to get there.

What it is

In plain terms.

We study how your business runs, your tools, your data and your team, and find the places where AI will save the most time or money. It takes a few days and ends with a report you can act on.

  • You know AI matters, but not where to start.

  • You have tried AI tools and seen little change.

  • Work is slowed by manual steps nobody has mapped.

  • You need a business case before you can get budget.

If one of those is yours, this is the page

What you get

What you actually get.

Named, so you can tell whether it covers your case.

  • AI Opportunity Map

    Every place AI could help, on one page, sized by value and effort.

  • Priority use cases

    The top five, with the hours or cost each one could save.

  • Automation opportunities

    Manual steps that can be automated, tool by tool.

  • Risk notes

    Data, security and quality risks to plan for.

  • AI roadmap

    What to do in the next 30, 90 and 180 days.

  • Recommended next steps

    A scoped first project, with a price.

Two ways in

Free in minutes, or thorough in days.

One is free and takes minutes. The other takes a few days and looks at the whole business.

The free online check

How
You give Audit Engine your website.
Time
Minutes
What you get
An AI readiness score and a short report.
Try it now →

The full AI audit

How
Interviews with your team and a review of your tools.
Time
A few days
What you get
The opportunity map, priority use cases and a roadmap.

What happens, in order

One run through, start to finish.

The shortest honest description of the thing working.

  1. 01

    A short intake form.

  2. 02

    A kickoff call.

  3. 03

    Interviews, and a review of your tools.

  4. 04

    Analysis.

  5. 05

    The report, walked through with you.

What it looks at

Eight things, in your business rather than in the abstract.

  • Where AI could help, and where it could not.

  • Manual steps that could be automated.

  • Gaps in the AI you already use.

  • Bottlenecks in how work moves.

  • Tasks an AI agent could take over.

  • Systems worth connecting to each other.

  • Risks in data, security and answer quality.

  • Which use cases to do first.

Process

How it runs.

Each step ends with something you can look at.

  1. Intake form
  2. Kickoff call
  3. Interviews and tool review
  4. Analysis
  5. Report and walkthrough