How It Works

Complete visibility into every AI agent decision

evidentAI captures your workflows end-to-end. See what agents did, why they did it, and what changed downstream.

What We Capture

From high-level workflows to individual tool calls

Agent reasoning, model outputs, confidence scores, and why each action was chosen

Inputs, outputs, artifacts, approvals, and complete audit trails

Tokens, API calls, compute time, and human review effort per workflow

Every system touched, record modified, and notification sent

Link workflows to claim numbers, customer IDs, and real business outcomes

Reconstruct any workflow state at any point in time for investigation or compliance

Go from zero visibility to full control

Get immediate visibility

Add active governance

Enable full enforcement

Document how agents hand off to each other and where policy checkpoints belong

Tell evidentAI about each agent's model, tools, and policies

Add evidentAI as a sidecar or proxy with minimal code changes

Align trace IDs with Datadog, Splunk, or other observability platforms

Define rules for approvals, human-in-the-loop, and evidence requirements

Monitor dashboards, review alerts, and iterate on policies

Platform	Type	Status	What Gets Captured
LangChain / LangFlow	SDK	Available	Step events, agent versions, tool calls
OpenAI Assistants	Connector	Available	Thread state, runs, tool invocations
AWS Bedrock	Connector	In Dev	Model calls, orchestration
Vertex AI Agents	Connector	In Dev	Flow execution, context
Custom Workflows	SDK	Available	Full flexibility

All integrations support trace alignment with Datadog, Splunk, Azure Monitor, and OpenTelemetry

Get a tailored walkthrough or explore a sample workflow