09 · AI Infrastructure
Production Telemetry
When your AI gets worse, your team knows in minutes — not quarters.
Overview
What you get
P95 latency, cost-per-query, drift, and eval regressions on dashboards your on-call actually opens.
The problem
Why teams call us
- Quality regresses silently between deploys — customers find out first.
- Cost-per-query is unbounded and per-tenant breakdown doesn't exist.
- Embedding drift is invisible until retrieval quietly collapses.
Approach
How we work
- Wire eval signals into the same dashboards as latency and cost.
- Per-tenant breakdowns for everything; aggregates hide the regressions.
- Alert on the metrics your on-call rotation actually trusts.
Process
Week by week.
- 01 · Week 1
Wire
Trace + eval instrumentation across inference and retrieval.
- 02 · Week 2
Dashboard
Per-tenant latency, cost, grounding, drift.
- 03 · Week 3–4
Alert + runbook
Eval regression alerts on deploy, incident playbooks.
- AI feature already in production with real traffic
- On-call rotation that needs better signal
- Existing observability stack we can extend
- Pre-production prototypes with no live traffic
- Teams without any on-call coverage
- Orgs unwilling to instrument production with eval traces
Deliverables
Everything we ship
- 01Latency + cost dashboards per tenant
- 02Embedding drift detection + alerting
- 03Eval regression alerts on every deploy
- 04Incident playbooks + rollback paths
- 05On-call runbook tailored to your stack
Outcomes
What you walk away with.
When your AI gets worse, your team knows in minutes — not quarters. Signal your on-call rotation actually trusts.
Tooling
Stack we ship against
Model- and infra-agnostic. We adapt to your stack, not the other way around.
FAQ
Real questions, technically answered.
- Will this replace our existing observability stack?
- No — it extends it. We add the AI-specific signals your APM tool doesn't capture.
- Can you alert into Slack/PagerDuty?
- Yes. Alerts route to whatever channel your on-call already uses.
- How do you detect embedding drift?
- We sample production embeddings against a reference set and alert on distribution shift before retrieval quality degrades.
Related engagements
Often paired with.
04 · AI Implementation
RAG & Embedding
Production-grade retrieval — measured against your golden set before it ships.
06 · AI Implementation
AI Agents
Multi-step agents that finish the job — with traces, guardrails, and rollback.
08 · AI Infrastructure
DevOps & Infrastructure
Production-grade infra your team can extend, scale, and on-call against.
Next step
Ready to scope Production Telemetry?
Book a discovery call. We'll confirm fit, sequence the engagement, and have a Statement of Work in your inbox within a week.
Refundable if we're not a fitWritten diagnostic in 48 hoursSession run by a founder, not a sales rep