Strategy and adoption · UK teams
AI readiness assessment
Find a worthwhile first use case and expose the operational gaps before committing to a build.
Understand the service
What this means in practice
An AI readiness assessment examines whether a business has a suitable problem, usable information, accountable owners and the capacity to test a change. The output should be a decision about a specific opportunity, not a generic score that suggests every organisation needs the same technology.
Temrik’s proposed assessment starts with a workflow and the people who operate it. We examine the existing process, data access, error cost and adoption needs, then compare an AI approach with simpler alternatives. A responsible recommendation can be to improve records or clarify ownership before spending on a pilot.
- NIST: AI Risk Management Framework A voluntary framework for managing AI risk.
- Australian government: AI adoption guidance Practical guidance on responsible AI adoption, accountability and testing.
A practical workflow example
A growing team wants AI to reduce administrative work. Discovery finds that much of the delay comes from missing information on incoming requests. The first recommendation may be a better intake form and ownership queue, with AI extraction tested only for requests that still arrive as free text.
Proposed engagement
How we would approach the work
Establish the baseline
Observe how the task is completed today. Record volume, waiting time, corrections and the effect of errors without treating estimates as measured savings.
Assess the constraints
Review source quality, access, owner availability, existing contracts and staff confidence. Identify dependencies that would prevent a useful trial.
Make a prioritised decision
Compare a small number of opportunities by value, feasibility and consequence. Define the evidence needed for a go, revise or defer decision.
Deliverables to agree in the scope
- A concise readiness and dependency report.
- A prioritised use-case shortlist with reasons.
- A proposed pilot brief, acceptance criteria and cost assumptions.
Access, sample information and reviewer availability affect the plan. Any implementation, provider costs, support arrangements and acceptance criteria are agreed before work begins.
Limits worth understanding
- Readiness is specific to a use case; a score cannot certify an organisation as safe to use all AI.
- An assessment is not a guarantee of savings, implementation time or regulatory compliance.
Questions to bring to the first conversation
- What business outcome will the first pilot test?
- Which team can supply examples and review results?
- What would make us decide not to build?
UK teams
Scope the work for your operating context.
For a UK business, distinguish tool availability from staff readiness to use it. Review current licences and the team’s ability to verify outputs before adding another platform; combine the assessment with a role-specific learning plan where needed.
A starting reference for your review: ICO: AI and data protection guidance. Local obligations and deployment settings need to be assessed for the actual use case.
A focused next step
Work with Temrik.
Tell us about the workflow you want to improve and the outcome you need. We can review the context and discuss a focused assessment. Scope and price are agreed before paid work begins.