Choosing a provider
AI workflow audit services
An AI audit is only useful if it is independent. A provider who sells a particular AI platform will tend to find that platform is the answer. A useful audit recommends rules-based automation, process changes or no change at all when those are the better options.
This page explains how to choose an audit provider, how the audit should be carried out and what you should receive.
Illustrative diagram
- Scope
- Staff interviews
- Automation inventory
- Sample AI outputs
- Rank findings
- Walkthrough and plan
How the audit is carried out
Scope
Processes, tools and data in scope agreed, with access arrangements.
Output: Written scope
Interviews
Short sessions with staff who run each process.
Output: Process notes
Inventory and sampling
Existing automations listed; AI outputs sampled and checked.
Output: Evidence
Report and walkthrough
Findings ranked; plan discussed with you.
Output: Report and action plan
Independence
Ask any audit provider whether they resell or receive commission on AI products, and whether the audit is conditional on further work. A trustworthy provider will answer plainly. The audit's recommendations should be justified by evidence from your processes, and you should be free to implement them yourself or with anyone else.
The most useful audits sometimes conclude that a process needs simplifying rather than automating.
What you should receive
| Deliverable | Purpose |
|---|---|
| Process and automation inventory | A record of what exists and who owns it |
| Opportunity list | Where automation or AI would help, with estimated effort |
| Risk list | Data, oversight and accuracy issues to address |
| Prioritised plan | What to do first, next and later |
| Walkthrough | Findings explained and questions answered |
Questions to ask a provider
Approach
- Will you interview the staff who do the work?
- How will you test existing AI tools?
- How will you handle our data during the audit?
Outcome
- Will you recommend non-AI options where better?
- Are findings ours to act on freely?
- What format is the report?
Warning signs
Every recommendation uses one product
The audit may be a sales exercise.
No sampling of real outputs
Accuracy claims are untested.
Savings promised before the audit
Value can only be estimated from evidence.
How audit data is handled
An audit may involve looking at real emails, documents or AI outputs. Agree in the scope how samples are chosen, whether they are anonymised, where they are stored during the audit and when they are deleted. Read-only access, limited to what the audit needs, and removed when it ends, keeps the risk low.
What interviews cover
Interviews with staff are short and practical: what the process involves, how long each part takes, where errors happen, which tools they use and what they would most like to stop doing by hand. They also ask about any AI tools staff use informally, without judgement. These conversations usually surface the most valuable opportunities and the most important risks, because staff see problems that are invisible from a manager's description.
Interview notes are summarised in the report so you can see the evidence behind each finding.
How outputs are sampled
For each existing AI step, a sample of recent inputs and outputs is reviewed against what a person would expect. The sample size depends on how important and risky the step is. The audit reports the error types found, such as missed fields, wrong categories or invented details, and whether those errors were caught by any review. This turns vague confidence or worry about an AI tool into evidence.
A simple adoption policy
Many audits end with a recommendation for a short AI adoption policy: which tools are approved, what data may be used with them, who approves new tools and how outputs should be checked. A provider can draft this for your review; your team decides its final form.
Timescale
The audit's length depends on the number of processes and tools. Agreeing the scope and delivery date upfront, and scheduling interviews early, keeps it on track. A focused audit can be completed relatively quickly; a business-wide audit takes longer because more people and tools are involved.
Questions about AI workflow audit services
Do you sell AI products?
Ask any provider this directly. Our audit findings are yours to act on with anyone.
Will you talk to our staff?
Yes. The people who do the work know the process best.
How do you test our AI tools?
By sampling real inputs and outputs and checking them against expected results.
Is our data safe during the audit?
Samples are handled as agreed in the scope, minimised and deleted afterwards.
Will the audit recommend AI?
Only where it fits. Rules-based automation or process changes are often better.
Is there a walkthrough?
Yes, to explain findings and agree priorities.
Can you draft an AI use policy?
We can draft a practical one for your review; your team and advisers decide its final form.
How long does an AI audit take?
It depends on scope. We agree the delivery date when quoting.
Can the audit cover one team only?
Yes. A focused audit of one team is a common starting point.
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