AI governance
The AI-specific answers procurement asks for now.
Security review is no longer just about encryption and uptime. Buyers also want to know how the bot is grounded, how it hands off, how spend is controlled, and how automations are verified.
Grounded answers, not freeform guesses
The chatbot answers from your knowledge base, cites which article it used, and keeps reviewable transcript history so admins can inspect accuracy instead of trusting a black box.
See AI controls →
Human handoff with reason codes
Low-confidence answers, explicit "talk to a human" requests, and frustration signals can trigger handoff while preserving the full transcript and handoff reason for the agent.
See handoff flow →
Spend and data-egress controls
Choose managed AI or bring your own OpenAI key, set per-site reply caps, and use self-hosted deployment when your policy requires the tightest control over where inference happens.
See pricing paths →
Signed automations and delivery logs
Outbound webhooks are HMAC-signed, retry-aware, and delivery-tracked so downstream ticketing, CRM, and alerting automations remain inspectable during security review.
Review developer docs →
Controlled rollout surfaces
Feature flags let teams stage voice, workflow, webhook, and portal changes gradually instead of exposing unfinished operational changes to every workspace at once.
See shipped operations work →
Migration and import audit trails
Ticket, macro, and knowledge-base imports are tracked as auditable runs so teams replacing another platform can prove what moved, when it moved, and whether anything failed.
See migration workflow →