Full observability for AI agents.
Every decision. Every data source. Every tool call. Traced, hashed, and auditable. AgentTrace is an observability and audit layer for AI agent systems — capturing every phase, decision, and data access in a tamper-proof, hash-chained event log.
I · THE PROBLEM
AI agents are increasingly trusted with important decisions — reviewing filings, assessing risk, processing claims, generating reports. But most agent systems leave no record of what data was accessed, what reasoning was followed, or what alternatives were considered. When that output reaches investors, compliance, or business decisions — tracing how it got there is a real problem.
II · CAPABILITIES
Decision Transparency
Every option considered, what was chosen and why, confidence levels, and which data sources were consulted.
Data Lineage
Which system was accessed, the exact query, how many records returned, and when — for every external call.
Tamper-Proof Audit Trail
Every event is cryptographically hashed in a chain. Modify one record and the chain breaks, showing exactly where.
Real-Time Visibility
Events stream into the dashboard live as each phase completes. Watch agents work, don’t wait for them to finish.
Approval Workflow
Approve, flag, or reject any run. Every verdict is recorded with reviewer identity, timestamp, and comments.
Execution Tree
Every run produces a complete tree — phases, agents, decisions, data queries — all linked in a parent-child hierarchy.
III · WHERE THIS IS USEFUL
Regulated industries running AI agents for compliance, risk, or decision-making.
Financial Services
KYC/AML review, trade surveillance, regulatory filing analysis, portfolio risk assessment.
Healthcare
Clinical decision support, claims processing, prior authorization workflows.
Legal & Insurance
Contract review, due diligence, underwriting, claims assessment, fraud detection.
Every decision. Every data source.
Traced and auditable.
Ready to retune?
Let’s talk.