Product / AI customer success
AI agents that resolve, and know when to hand over
After the sale, the same engine keeps talking: answering questions, spotting churn risk and escalating to the right rep with the whole conversation attached.
- Autonomous resolution
- Churn signals
- Warm escalation
- SLA tracking
Agent layer
Specialised agents, shared context
Each agent reads the same unified customer record your outbound campaigns write to.
Support agent
Resolves common questions end to end on the channel the customer used, with a confidence threshold before it answers.
Health and retention
Watches signals - missed calls, negative replies, silence after onboarding - and opens a play before the account goes quiet.
Onboarding agent
Walks a new customer from signup to first value with scheduled check-ins across call, SMS and email.
Escalation router
When confidence is low or the customer asks for a person, it warm transfers or creates an SLA-tracked task with full context.
Controls
Autonomy with a leash
You choose what the agent may do on its own and where a human must sign off.
- Knowledge-grounded answers only, no invented policy
- Confidence scoring with a human fallback threshold
- Every AI action written to an append-only audit log
- SLA timers with reminders, escalation and reassignment
- PHI-minimising scripts and role-based access for regulated teams
- Full transcript and summary on the contact timeline
Grounded in your knowledge, not the open web
Point the agents at your help content, policies and past resolutions. Answers cite what they used, and anything outside that scope routes to a person.
See it run on your own campaign
Tell us what you dial and we'll walk you through the console live: AI script generation, cadence and attempt caps, the compliance review gate, an AI smart engine call end to end, a warm transfer to a rep, and the cost per completed call at your volume.