AI observability

See what your AI is doing. All of it.

For the moment you ask “what is actually going on in there?” Which models, which prompts, which tools, at what cost, with what results. We design the observability layer and the habits around it.

A navy analogue gauge with a white face and red needle on a pale floor, a red stripe behind it.

AI observabilityIf you can’t see it, you can’t run it.

What we do

01
Telemetry designTraces, prompts, tool calls, tokens and outcomes. What to capture, and what to leave out to protect people.
02
Quality & drift monitoringEval‑based scoring in production, alerting on regressions and behaviour change.
03
Cost governanceAttribution by team, feature and model, with budgets people respect.
04
Tooling selectionNeutral evaluation of observability platforms against your requirements.

Who it’s for

Engineering and platform leaders running LLM or agent workloads across more than one team.

You leave with

Observability reference design
Monitoring and alerting spec
Vendor shortlist and scoring

Advice only. We don’t resell vendor software. We help you choose it, negotiate for it and check it does what was promised.

Other practices

PQC consulting AI agent engineering Marketing engineering AI security Forward deployment engineering

Book a 30‑minute call.

Tell us where you are. We will tell you honestly whether we can help, what it would take, and what we would do first. No pitch, no pressure.