Before you buy AI, find out if your business is ready for it.
A fixed-scope review for leadership teams who need to know which AI ideas are worth funding, what risks need controlling, and what needs fixing before implementation.
The decision this helps you make
Should we invest in AI now, prepare first, or stop this idea before it wastes money?
A clear view of maturity across data, process, systems, governance and adoption.
Which ideas are worth testing, which need preparation, and which should be parked.
A practical path for pilot, governance, preparation or implementation.
AI pressure is rising. That does not mean the business is ready.
Most AI conversations start in the wrong place: a tool, a demo, a board request, or a competitor announcement.
The harder questions come later. What problem are we solving? Is the data usable? Who owns the output? What happens if the AI is wrong? How will this actually fit into the way people work?
The AI Readiness Review answers those questions before money, time and reputation are committed.
The risk is not just technical.
Poor AI decisions create operational, commercial, security, privacy and governance risk.
The cost is not just the software.
The real cost is failed adoption, rework, integration pain, weak controls and unclear accountability.
The answer is not always “start now”.
Sometimes the best AI decision is to fix foundations first. Sometimes it is to move quickly. The point is to know.
One focused review. Five clear outputs.
This is not a brainstorming session. It is a structured readiness review designed to support a leadership decision.
Included in the package
AI Readiness Review
A fixed-scope engagement that combines technology, governance and implementation judgement into one clear recommendation.
Readiness score
A maturity view across strategy, data, processes, systems, governance, security, adoption and commercial fit.
Use case priority map
A ranked view of which AI ideas are worth exploring, which need preparation, and which should not be funded yet.
Governance and risk gaps
A clear view of ownership, human review, data protection, vendor risk, security and auditability requirements.
Implementation route
A recommendation on whether to pilot, prepare, govern, evaluate vendors, or move into implementation.
90-day action plan
A practical roadmap of what to fix, test, decide or build next.
Two weeks from uncertainty to decision.
The process is deliberately tight. It gives enough depth to make a confident decision without turning into a long consultancy exercise.
Kickoff and current-state review
We clarify the business pressure, current AI activity, proposed use cases, stakeholder expectations and decision criteria.
Readiness assessment
We review data, processes, systems, security, privacy, governance, adoption, ownership and implementation constraints.
Scoring and prioritisation
We score use cases for commercial value, feasibility, complexity, risk, adoption and readiness.
Report and decision call
You receive the readiness score, priority map, risk view and 90-day action plan, then we walk leadership through the decision.
A good fit for serious AI decisions. Not a fit for AI theatre.
Good fit if…
Not the right fit if…
From “we should do something with AI” to a defensible decision.
Pressure, ideas and uncertainty.
Score, priorities and next steps.
AI readiness needs more than AI knowledge.
Cigma combines CTO-level technology judgement, CISO-level governance thinking, and practical implementation experience. That matters because AI failure is rarely only an AI problem.
Technical reality
Systems, integrations, data and delivery constraints assessed properly.
Governance clarity
Ownership, risk, privacy, security and accountability made explicit.
Commercial focus
Use cases assessed against value, feasibility and measurable outcomes.
Vendor-neutral advice
No tool commission. No forced platform recommendation.
Questions before you book.
Yes, but not only those businesses. It is useful if you are exploring AI for the first time, choosing a tool, planning a pilot, or trying to make informal AI usage more controlled.
If tool evaluation is needed, yes. But the review does not start with tools. It starts with business value, readiness, risk and implementation reality.
That is still a valuable result. You will know what needs fixing before serious spend: data, process, ownership, governance, security, privacy, adoption or integration.
Yes. Depending on the outcome, the next step may be an AI governance review, vendor evaluation, use case workshop, controlled pilot or implementation support.
Next step
Get clarity before AI becomes another expensive experiment.
Book a short call. We’ll discuss what you are trying to achieve, where you are now, and whether an AI Readiness Review is the right next step.
You will know