AI Audit
Understand the opportunities and recommended actions
- Includes
- The opportunity assessment
- You receive
- Priorities, findings and recommendations
- Duration
- Two weeks
- Fee
- Fixed fee
Two ways to start
For business owners and leaders exploring whether AI can help them grow, improve operations, or expand what they offer. You may be curious about the possibilities, unsure where to start, or ready to evaluate an idea or pilot.
We understand your business, compare opportunities by potential value, feasibility, data readiness and risk, and explain our recommendations.
Understand the opportunities and recommended actions
Assess the opportunities and test one through a prototype
Neither engagement requires the other. Either can lead directly into a pilot or implementation project — see what comes next.
Method
Both engagements use the same assessment. Four questions decide what we recommend, and in the Sprint, what we test.
More AI was never the goal — a real edge is. We find where AI gives you one, and tell you where it won't.
We assess the potential benefit, effort, business importance, and how success would be measured. If it isn’t worthwhile, we stop or consider another opportunity.
We compare AI with simpler options and recommend what fits the work.
We identify what AI can handle, what needs approval, and where people stay in control.
Improve the process or automate repeatable steps without AI.
We recommend checks appropriate to the work. In the Sprint, we also set boundaries for prototype testing.
AI Audit
We agree the assessment areas with you. You provide relevant information and join conversations and a findings review.
The Audit concludes with findings and recommended next steps, without building a prototype.
The Sprint
The Sprint starts with conversations about your business and a review of relevant documents and sample data. We compare opportunities with you, choose one, then build and test a focused prototype.
You bring knowledge of the work, usable sample data, and time to review the results. We confirm the scope, inputs and kickoff date when scheduling the Sprint.
A working proof is an early version of a solution, built and tested with examples from your business. You see the idea in action and use the test results to decide your next steps.
The proof may use AI or straightforward automation, depending on what fits the work. Preparing it for everyday use is a separate next step.
Sprint deliverables
The opportunities considered, our recommendations and rationale, and why we selected one workflow to test.
The prototype, test results against agreed success measures, and known limitations. A baseline comparison is included where suitable data is available.
Boundaries for the prototype: what it may do, what needs human approval, and what it must not access or change.
Priorities informed by the test results, including what needs further work and the next steps toward everyday use.
Next steps
Either engagement can lead directly into a pilot or implementation project. Where further testing is needed, we can include it in that project’s scope.
Use the findings and results to plan your next steps with us, your own people, or another provider. We can help with implementation, training and AI leadership; for selected workflows, we can also manage ongoing operation.
Explore custom AI development →Agenteer’s founder combines hands-on agentic engineering with a track record in enterprise AI and internet standards.
Meet Charles →No. Identifying and assessing opportunities is part of both engagements. Bring your business goals, questions or an idea you want to explore.
No. We’ll tell you where AI doesn’t belong before we tell you where it does. Sometimes the right answer is a process change or straightforward automation. We choose the approach around the work.