Tool access
Which tools can the agent call, what arguments did it pass, and which calls should have required approval?
Reliability evidence for AI-agent startups
Your agent works. Prove how it fails.
EvidenceRun instruments one agent workflow, maps failures against a 12-mode taxonomy, and delivers a buyer-ready reliability report founders can use in investor, security, and enterprise conversations.
Not observability
Evidence packaging
Not certification
Buyer readiness
Not generic governance
Agent failure taxonomy
What gets audited
The things buyers ask before trusting an agent
Data movement
Where did customer data, PII, secrets, prompts, and third-party API payloads move during the run?
Replay evidence
Can the team reconstruct what the agent saw, tried, changed, failed, retried, and claimed afterward?
Pilot offer
One workflow. Five to seven days. Fixed scope.
1
Pick one agent workflow that matters for sales, support, finance, coding, research, or operations.
2
Share traces, logs, prompts, tool calls, screenshots, or run a short screen-share walkthrough.
3
Receive an Agent Reliability Report: failure taxonomy mapping, evidence examples, and remediation backlog.
3 pilots at $1,000 each. 5-day delivery.
For startups building AI agents that need to look serious in front of investors, security teams, or enterprise buyers.
Email EvidenceRunEvidenceRun reports are reliability evidence for product, security, and investor conversations. Not a legal compliance certification or safety guarantee.