01
Leaders deciding where to start
You can see AI opportunities but need an independent view of which ones fit your business.
AI readiness consulting
Know where AI can help before you invest
We assess your business priorities, operating constraints, data, systems, skills and risk so you can choose AI initiatives with evidence rather than enthusiasm alone.
- Business-led use-case discovery
- Readiness across six operating dimensions
- Prioritised next-step roadmap
In brief
What is an AI readiness assessment?
An AI readiness assessment is a structured review of whether your organisation can adopt AI safely and productively. It connects business problems to the data, technology, people and governance needed to solve them.
The goal is not to produce a generic maturity score. It is to decide what is worth doing now, what needs preparation and what should be avoided.
What you leave with
- A shared view of current capability and material gaps
- AI opportunities scored for value, feasibility and risk
- A sequenced action plan with clear owners and decision points
Good fit
When this service is useful
The work is shaped around a concrete decision or workflow. These are common starting points, not eligibility rules.
02
Teams with scattered experiments
People are already using AI, but activity lacks shared priorities, guardrails or reliable measurement.
03
Businesses preparing a pilot
You need to confirm that the process, data and operating environment can support a useful test.
Engagement outputs
What the work can produce
Exact scope follows discovery. Deliverables are selected to resolve the decision at hand and leave your team with usable evidence.
Readiness diagnostic
A documented baseline across leadership, process, data, technology, people and governance.
Opportunity portfolio
Candidate use cases compared against impact, effort, dependencies, risk and measurability.
Actionable roadmap
A practical sequence for foundations, pilot work, ownership and review rather than an open-ended transformation programme.
Decision briefing
A concise leadership readout explaining recommendations, trade-offs and the questions still requiring evidence.
How we work
A staged path from uncertainty to evidence
Each stage has a clear purpose. Findings can change the next step, including narrowing or stopping work when the case is weak.
- 01
Understand
Clarify business goals, pain points, current AI activity and constraints with the people closest to the work.
- 02
Assess
Review workflows, data, systems, skills, security and governance against the most relevant opportunities.
- 03
Prioritise
Compare use cases and select the smallest credible next step with a measurable hypothesis.
- 04
Plan
Define dependencies, owners, controls and success measures for the agreed route forward.
Questions
Common questions about ai readiness and opportunity assessment
Do we need an AI strategy before the assessment?
No. The assessment is designed to clarify whether a formal AI strategy is needed and what it should prioritise. Existing plans and experiments are useful inputs, not prerequisites.
Do we need perfect data before we start?
No. Data quality and access are part of the assessment. Where an opportunity depends on unavailable or unreliable data, the roadmap makes that dependency explicit.
Is the free online assessment the same service?
No. The online tool is a private, directional self-check. A consultancy assessment examines your real workflows, evidence, constraints and stakeholders in more depth.
Start with the decision, not the technology
Make the next AI decision with clearer evidence
Tell us what you are trying to improve, what has already been attempted and where uncertainty is blocking progress. We will use that context to decide whether Simlyst is a useful fit.