When something goes wrong in a business process — and eventually, something will — you need to understand what happened. If Claude was involved in that process, you need to know what it did, what decisions it made, what data it accessed, and what output it produced. Without audit trails, AI-assisted workflows are a black box. You trust them until they fail, and when they fail, you have no way to diagnose why.
Beyond trust
Mid-market businesses need accountability, not just trust. Audit trails provide that accountability. They record the full chain of events for any workflow — what the human asked, what Claude responded with, what connectors were accessed, what data was read or written, and what the outcome was. This isn't about distrusting the AI. It's about having the same visibility into AI-assisted work that you have into every other business process.
For regulated industries, audit trails aren't optional — they're a compliance requirement. But even for businesses without regulatory obligations, the ability to review and understand AI-assisted decisions builds trust with leadership, stakeholders, and clients. It's a massive selling point for any governed deployment.