Guides on AI agents, evidence, and governance
Practical guides on running AI agents you can prove and trust: agent observability, business evidence, verification, and governance, from the team building Pruvz.
Policy Snapshots: Proving Which Rules Your AI Agent Followed
A policy snapshot is the preserved, decision-time copy of the rules an AI agent followed. What a complete snapshot captures and why versioning alone is not enough.
Read the guideHow to Verify AI Agent Actions Against Systems of Record
A practical guide to AI agent outcome verification: define the expected outcome, read the result back from the system of record, handle eventual consistency, and classify every consequential action, without ever re-executing it.
Read the guideHuman Review of AI Agent Decisions: Beyond the Rubber Stamp
Why reviewing every AI agent action fails, what the EU AI Act and GDPR expect from human oversight, and how exception-based review backed by complete evidence makes each review count.
Read the guideThe Best AI Agent Audit Trail Tools in 2026
A buyer's guide to AI agent audit trail tools in 2026: the four categories (observability, governance, audit logging, and business evidence), representative tools in each, and how to match one to the decision you need to defend.
Read the guideWhat Is Business Evidence for AI Agents?
Business evidence is the verified, action-level record that proves an AI agent action followed the policy in force at decision time and that the outcome really occurred in the system of record.
Read the guideAI Agent Governance vs. Business Evidence: Policy Is Not Proof
AI agent governance defines the rules and controls for your agents. Business evidence shows whether each consequential action followed them and verifies the outcome against your systems of record. The difference, and why a governed program still needs action-level proof.
Read the guideAI Agent Audit Trail: What to Capture, and Why It Is Not Enough
An AI agent audit trail shows what an agent did. Learn the components a complete record must capture, and why a successful API call is not a verified business outcome.
Read the guideAgent Observability vs. Business Evidence: What's the Difference?
Agent observability shows how an AI agent ran. Business evidence proves what it did and verifies the outcome against your systems of record. The difference, and why technical traces alone cannot verify consequential agent actions.
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