The short answer: An AI readiness assessment shows whether a use case is valuable, feasible and governable today, what must change, and whether your best option is to build, buy or wait.
What we assess
- Operations: the workflow, baseline performance, ownership and desired outcome.
- Data: availability, quality, access, sensitivity and retention.
- Technology: integration points, infrastructure, models and deployment options.
- Governance: decision rights, human oversight, risk controls and audit requirements.
- People: the skills, roles and change needed to run the system.
What you receive
The output is a decision document, not a generic maturity score. It includes a prioritised opportunity, readiness findings, risk and dependency notes, an implementation sequence and the evidence behind the recommendation.
Build, buy or wait
Custom development is useful when the workflow or control requirements are distinctive. An existing product is often better when the need is standard and the product fits the environment. Waiting is sensible when a critical dependency would make delivery premature. We make that choice explicit.
Frequently asked questions
How long does an assessment take?
The scope depends on the workflow and number of stakeholders. We confirm the work and timetable after the initial briefing.
Can this cover several AI ideas?
Yes. We can compare a small portfolio, then take the highest-value candidate into deeper assessment.
What is an AI readiness assessment?
An AI readiness assessment tests whether a use case is valuable, feasible and governable today, what must change, and whether your best option is to build, buy or wait.
What does readiness cover?
Value, data and systems feasibility, technology fit, governance and control, and the people who will operate the result.
Is this the same as a vendor demo?
No. It evaluates your workflow and conditions before investment, not a product pitch.