The most expensive AI mistakes happen before any code is written — a project with no clear use case, missing data, or no leadership mandate. An AI readiness assessment is the cheap insurance against that: a short, structured look at where you actually stand, and where to start. It is usually the first step in an AI consulting engagement.
What a readiness assessment covers
What we assess
We review the things that decide whether AI succeeds: your best-fit use cases and their ROI, your data and systems readiness, your team's skills and gaps, your tooling, and your governance and leadership alignment. We map these against the three layers of AI adoption so you can see exactly which layer needs work.
What you walk away with
A prioritised, practical roadmap: which use cases are worth pursuing, which gaps to close first, a sensible sequence, and how to fund the work through HRD Corp and available grants. It is built to be acted on.
Why start here
An assessment turns “we should do something with AI” into a concrete plan with numbers behind it — and it stops you spending on the wrong thing. From here, most clients move into a scoped automation project or an organisation-wide change-management programme.
What the roadmap actually contains
An assessment is only useful if it is acted on, so the output is concrete: a ranked shortlist of use cases worth pursuing (with rough effort and payback), the specific gaps to close first, a sensible sequence across the three adoption layers, and a funding plan that uses HRD Corp and available grants. It is designed to turn “we should do something with AI” into a costed, sequenced plan a leadership team can approve in one sitting.