See exactly what your AI is doing in production.
We instrument your AI stack with Langfuse, add tracing to your key LLM calls, and deliver a Trace Analysis report showing span timing, token usage, tool call paths, and latency per layer — so you have evidence, not guesses, about how your system behaves.
2–3
Day Engagement
Per-step
Trace Granularity
Token
Cost Visibility
Report
Trace Analysis Delivered
Why this matters
Most teams have no visibility into what their AI is actually doing in production. You know what went in and what came out — but not which retrieval step added latency, which tool call failed silently, or where token costs are spiking. Without traces, debugging is guesswork and optimisation is impossible.
How We Do It
A structured process, every engagement.
Stack review and instrumentation plan
We review your AI stack — models, RAG pipelines, agent tools — and identify which calls to instrument for maximum visibility.
Add Langfuse tracing
We instrument your key LLM calls and agent steps using the Langfuse SDK, and walk your team through the integration so you can extend it independently.
Capture and analyse traces
Traces run against real or representative traffic. We review span timing, token usage per step, retrieval queries, tool call paths, and error patterns.
Trace Analysis report
Findings documented with trace screenshots, timing breakdowns, token cost analysis, and specific recommendations for latency or quality improvements.
What You Get
Tangible deliverables, not slide decks.
Who It's For
Built for teams where AI reliability is non-negotiable.
Production-blind teams
AI is live but you have no visibility into latency variance, retrieval failures, or where token costs are accumulating.
Teams debugging quality issues
Something is wrong but you can't isolate whether it's the retrieval step, the prompt, or the model response — traces give you the evidence.
Teams before a scaling decision
Before increasing capacity or switching models, you need to understand where the current bottlenecks actually are.
Ready to get started?
Book a free 30-minute AI Reliability Assessment. We'll review your stack, identify your highest-risk failure modes, and show you exactly what to fix first.
Book a Free Scoping Call →