Strategy and adoption · UK teams
AI pilot implementation
Run one bounded AI workflow with a clear starting point, acceptance criteria and a decision about what happens next.
Understand the service
What this means in practice
An AI pilot is a controlled experiment in a real operating context. It should answer a business question, such as whether staff can prepare a checked response with less effort, while keeping the scope and consequences manageable. A prototype that impresses in a demonstration is not yet an operating service.
Temrik can scope a pilot around one team, one workflow and an agreed set of sources. The plan should include access, representative tests, user involvement and a way to stop or revert. Expansion follows evidence from the pilot rather than an assumption that a successful demonstration should immediately cover the whole organisation.
- 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 team pilots draft preparation for one enquiry category. For an agreed period, staff compare AI-assisted drafts with the current method, record corrections and review exceptions. The final decision considers quality, effort, operating cost and ownership; a mixed result may lead to a narrower scope or a decision to stop.
Proposed engagement
How we would approach the work
Define the experiment
Agree the task, participants, baseline and acceptance criteria. Document exclusions and the resources the team can commit to reviewing results.
Build and test the boundary
Configure only the approved sources and actions. Use synthetic or authorised examples before a limited operational trial, with a clear recovery path.
Decide from evidence
Review results with the workflow owner. Record whether to expand, revise or stop, and what support and monitoring a continuing service would require.
Deliverables to agree in the scope
- A pilot brief with scope, baseline and acceptance criteria.
- A proposed implementation and review schedule.
- A go, revise or stop report with operating dependencies.
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
- Pilot outcomes do not guarantee savings or performance at a larger scale.
- Timelines and prices depend on access, source quality, review capacity and agreed integration scope.
Questions to bring to the first conversation
- What single question must the pilot answer?
- Who will review the work during the trial?
- What evidence would justify stopping rather than expanding?
UK teams
Scope the work for your operating context.
For a UK business, schedule the pilot around the availability of the people who can judge the work. Confirm supplier review, data-protection input and staff training needs early so an apparently finished prototype is not blocked from responsible use.
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.