You are about to ship AI. You should know what will break.

A focused readiness review before you commit engineering time and reputation. We assess architecture, data, safety, cost, and delivery risk, then give you a clear plan for what to fix and what to ship.

Teams often discover problems after launch, when fixes are expensive and trust is already damaged. A readiness review tells you what will fail before users do.

We review your system end to end: data quality and access, model behaviour and evaluation, guardrails, observability, and operational cost. You get a clear risk register and a prioritised plan.

The result is confidence. You ship with your eyes open, not on hope and adrenaline.

Architecture and integration review

Check how the system hangs together and where failure modes hide inside integrations.

Data, privacy, and access controls

Review data sources, data quality, and who can access what, so compliance is not an afterthought.

Evaluation and quality gates

Define what good looks like and whether the system currently meets it, with measurable checks.

Safety, observability, and cost

Assess guardrails, monitoring, and cost controls so the system does not surprise you in production.

Ready to discuss your needs?

Book a 30-minute call

Services offered

Things That is a product engineering practice focused on building AI systems that help people make sense of complexity. For over 20 years, we've worked with teams at Google, IBM, Air New Zealand, Kpler, EE, News UK, Tesco, and The Economist, sitting in the space between product strategy and hands-on engineering. When specialist help is needed, we work with a network of senior consultants and product designers.

We're not consultants who hand off to developers. We're product engineers and designers who think strategically about what users need, then build it, from architecture to APIs to interfaces to production deployment. Our work is hands-on, writing code, reviewing pull requests, designing schemas, and testing edge cases, but always with the human experience in mind.