AI Agent Observability

Specialized engineers deliver production-ready agent observability that improves reliability, performance, and cost.

Premier-Certified Partner Expertise

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Your Agents Are Running. But Are They Working?

AI agents can fail anywhere across reasoning, retrieval, tool selection, execution, and output generation. Without end-to-end observability, teams struggle to answer three basic questions:

Why did it fail? Identify reasoning, model, prompt, tool, and data failures.

Where did it fail? Trace every step from user input through final output.

How do we fix it? Turn failure data into targeted, measurable improvements.

When Is AAO Right for You

Failures Are Hard to Diagnose

Your agents fail, but your team can't consistently determine where or why.

Performance Is Inconsistent

Similar requests produce different results, and you don't have a reliable baseline for improvement.

Agent Costs Continue To Grow

Token usage, model selection, and reasoning depth are increasing costs without clear controls.

You Need Production Ownership

You need monitoring, alerts, playbooks, and internal processes your team can operate after delivery.

Phase 01 - Observability & Attribution
Phase 02 - Root Cause & Optimization
Phase 03 - Monitoring & Ownership

Make every agent execution fully traceable.

Instrument the full agent lifecycle to expose reasoning paths, tool interactions, failure points, and baseline performance.

Deliverables | Full-Stack Agent Traceability: A production-ready observability layer that traces every agent execution across inputs, reasoning, tool calls, responses, and outputs.

Turn failure signals into targeted system improvements.

Attribute errors to prompts, models, reasoning, tools, or data, then optimize the components actually driving failure.

Deliverables | Root-Cause Intelligence + Optimized Agents: A quantified failure model, targeted system optimizations, and a remediation framework for improving agent reliability and consistency.

Operationalize agent performance at production scale.

Deploy monitoring, regression alerts, cost controls, and operational playbooks that keep agents reliable and your team in control.

Deliverables | Production Monitoring + Operational Control: Production dashboards, regression alerts, cost-control levers, and operational playbooks your team can own and run independently.

Proven At Enterprise Scale.

+20% Agent Quality

Through targeted model optimization.

3 Mo. To Production

From instrumentation through optimization, monitoring, and handover.

100% Traced Lifecycle

Inputs, reasoning, tool calls, responses, and outputs instrumented.

Built Around Your Agent Stack

LangGraph

LangChain

PydanticAI

Langfuse

LangSmith

OpenTelemetry

Custom Frameworks

FAQs

What is Agentic Observability & Optimization?
Who is this service for?
Do we need to replace our existing agent stack?
How long does the engagement take?
Who works with our team?
What will we own at the end?
How quickly can we start?

Know Why Your Agents Fail.

Then Fix It.

Own the monitoring and playbooks after handover.