AI Readiness Assessment

AI readiness is not a single factor. We assess your organisation across five dimensions.

Data foundations examines the quality, accessibility, and governance of your information. Can your systems provide the data AI needs? Is that data clean, consistent, and properly managed?

Technology infrastructure looks at your existing platforms and their ability to support AI workloads. This includes cloud capabilities, integration points, security posture, and scalability.

Skills and expertise assesses what your team knows about AI and what they need to learn. We identify gaps and suggest how to fill them, whether through training, hiring, or partnerships.

Process maturity considers how well your organisation handles change. AI projects often require new workflows and different ways of working. Some organisations adapt easily; others struggle.

Strategic alignment checks whether AI fits your broader business direction. Technology for its own sake rarely delivers value. We look at how AI connects to your actual priorities.

We gather information through structured interviews, documentation review, and technical inspection. The people we speak to depend on your organisation, but typically include leadership, IT, operations, and frontline staff.

The assessment takes a snapshot of current state and compares it against what successful AI adoption requires. We do not use generic benchmarks. Instead, we assess readiness relative to your specific goals and the AI applications you are considering.

The assessment produces a detailed readiness report covering:

A readiness snapshot across five dimensions. Clear findings across data, technology, skills, process maturity, and strategic alignment.

Specific gaps and blockers. What will stop AI projects from succeeding (and why), written in plain language your team can act on.

Prioritised recommendations. The few changes that will make the biggest difference first, plus what to defer.

A realistic improvement path. A practical view of what “ready” looks like for your goals, and what it will take to get there.

Immediate quick wins. Small actions you can take now to reduce friction and build momentum.

We present findings in person and answer questions. The report becomes a working document you can use to guide preparations and track progress.

This assessment helps if:

You’re planning AI investment and want to de-risk it. You need to know what groundwork is required before committing to delivery.

You’ve run pilots that went nowhere. You want clarity on what blocked progress and what needs to change to get to production.

Stakeholders disagree on readiness. You need a shared, concrete view of current state and what “good” looks like.

You need a credible internal plan. You want to acknowledge real constraints while still moving forward with confidence.

A typical readiness assessment takes two to three weeks. We can accelerate this for smaller organisations or extend it for complex enterprises with multiple divisions.

If you’re exploring readiness internally, use these prompts to pressure-test assumptions and identify hidden dependencies.

“What are the top 5 things most likely to block our first AI initiative, based on our current operating model?”

“What data quality and access problems would cause unreliable outputs, and how do we validate them early?”

“What preparation work should we do first to unlock one high-value use case within 90 days?”