Insights
Notes From Building AI in Production
Short, practical pieces from our engineering and consulting work with UK businesses. Written for decision-makers weighing up real AI investment.
The three questions to answer before an AI pilot
Most stalled pilots fail on data access, not model quality. A short checklist for deciding whether a use case is viable this quarter.
Why chunking strategy decides answer quality
Retrieval quality is set long before the model sees a prompt. How parsing and chunking choices shape what a knowledge assistant can say.
Giving agents boundaries you can audit
Permissions, step limits, logged actions and escalation paths — the controls that make agent deployments defensible.
Building a test set before you build the feature
Golden datasets and evaluation suites turn subjective judgement about AI output into something you can regression test.
What production AI actually costs to run
Inference is rarely the biggest line. Integration, monitoring and review workflows usually are.
Where voice agents work and where they don't
Booking, triage and after-hours cover work well. Complex negotiation does not. Choosing the right calls to automate.
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