Making Your Customer-Facing Agents Trustworthy: Real-Time Guardrails for Autonomous Front-Ends
In partnership with Trust & Safety Institute
Your customer-facing agent can be 90% right and still expose you on the one line that matters: a missing disclosure, an unflagged assumption, a decision no one can defend later. This session is about earning trust in those answers: see the agent's reasoning, stop a bad decision in real time, and export signed, auditor-ready proof, live on both a chat agent and a real-time voice agent. And because every human correction becomes a rule the whole fleet inherits, that trust compounds instead of decaying.
What you'll learn
- See inside an agent's reasoning with X-Trace: the claims, assumptions, and evidence behind every answer, each with a confidence score
- Stop a non-compliant decision in real time with Policy Gates, then watch the same input re-run into a compliant answer
- Export a cryptographically signed attestation and AI-BOM, decision-level proof you can hand to an auditor or regulator
- Govern a live voice agent in real time, the same trust loop that works for chat, with no pause your customer can hear
- Turn every human correction into a rule the whole fleet inherits, so a mistake fixed once never comes back
Speakers
Arbind Prasad
Forward Deployment Engineer
AISquare
Adjetey Wilson (AJ)
Host
Trust & Safety Institute
Start your journey with AISquare
Put a trust layer around your own agents, in your environment. See your agent's hidden assumptions in week one.