Evaluate risky AI outputs
Check each proposed response and workflow action against policy before the agent replies or triggers downstream work.
Control Layer for AI Agent Conversations
Route risky AI outputs and workflow actions through policies, approvals, transcripts, and audit-ready logs.
Conversation Governance
Check each proposed response and workflow action against policy before the agent replies or triggers downstream work.
Send high-risk conversation turns to the right reviewer with the transcript, policy match, and proposed answer attached.
Capture every policy match, review decision, approval, block, exception, transcript, and outcome for later review.
A policy match paused the agent response and attached the transcript, proposed answer, and approval options.
Human-in-the-loop controls
When AI starts speaking to customers, quoting policies, or triggering downstream tasks, turnkeeper.ai gives teams intervention points they can trust.
Set the rules that decide when an agent can answer, ask a clarifying question, route to review, approve, block, or stop.
Give reviewers the transcript, policy reason, proposed response, and decision history in the same workflow.
Record policy matches, reviewer actions, response versions, approvals, blocks, exceptions, and final outcomes.
Track what triggered, who approved it, where risk was prevented, and where guardrails need better thresholds.