AI Readiness Audit

Not sure where AI fits in your business? This audit gives you an honest picture of what's possible today, what needs work, and where AI will pay off fastest.

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Who Is This For?

The AI Readiness Audit is designed for small and medium businesses that suspect AI could help — but aren't sure where to start, what it costs, or whether their data is good enough.

  • Companies with 10–500 employees in any sector
  • Teams spending significant time on repetitive data entry, document processing, or manual reporting
  • Businesses considering an AI vendor pitch and wanting an independent second opinion
  • Leaders who've heard the AI hype but want to know what's actually viable for their situation
  • Organisations that have tried AI tools informally and want a structured approach

How It Works

1

Discovery Call

We talk through your business goals, pain points, and current workflows to set the scope of the audit.

2

Deep Dive

I map your key processes, check data quality, and assess your team's capabilities through interviews and direct analysis.

3

Opportunity Mapping

I identify where AI can add value, estimate ROI, and flag where AI isn't the right answer.

4

Roadmap Delivery

You get a prioritised action plan with clear next steps, timelines, and cost estimates.

What You Get

  • Process map with automation opportunity scores
  • Data quality review with specific metrics
  • Prioritised AI roadmap with ROI estimates
  • Risk analysis and how to address each risk
  • Executive summary with clear next steps
  • 30-minute follow-up call to go through findings

What Audit Findings Look Like

Every audit is different, but here are three examples of what past audits uncovered:

Invoice processing — 12 hours per week

A logistics firm was manually matching purchase orders to invoices across three systems. The audit found that a simple LLM-based extraction layer would reduce this to under 90 minutes per week, with a 6-month ROI.

Customer emails — no triage system

A 40-person retailer was routing all customer queries manually. The audit identified an AI classification model that could pre-sort 80% of emails with 95% accuracy, freeing three hours per day for the support team.

Reports — assembled from five spreadsheets

A financial services firm spent two days each month compiling management reports from Excel files. Automated data pipelines and a report generation script cut this to under two hours.

When an Audit Is NOT the Right First Step

I'll tell you this on the discovery call too — honesty matters more than the sale.

  • You already have a specific, well-defined automation in mind — you should go straight to a build
  • Your team has fewer than 5 people and no repetitive processes — AI overhead won't pay off yet
  • You're pre-revenue and looking for investor-facing AI credentials — that's a different service

Frequently Asked Questions

How long does the AI Readiness Audit take?

Usually 2–3 weeks from kickoff to delivery, depending on the size and complexity of your business.

Do I need technical expertise on my team?

No. The audit is built for business leaders. I translate every technical finding into plain language with clear actions.

What size company is this for?

Small and medium businesses with 10–500 employees, across any sector. If your team handles repetitive work or large volumes of data, there are almost certainly AI opportunities worth exploring.

What happens after the audit?

You'll have a clear roadmap. You can act on it with your own team, bring me in for the AI-Powered Automation service, or work with someone else entirely. No lock-in.

Want to Know Where AI Can Help?

Book a free 30-minute call to see whether an AI Readiness Audit makes sense for your business.

Book a Free Call