AI calling agents and call QA for call centersBetter calls.
Stronger outcomes.
Call workspace
Illustrative workflowCustomer10:14 AM
Hi, I need to reschedule my delivery for next week.
AI agent10:15 AM
Done. Your delivery is now on Thursday, and you'll get a confirmation shortly.
Completed actions
- Delivery rescheduledNew date confirmed
- QA reviewConversation analyzed
- Evidence savedCall, transcript and notes
Make the call. Know the outcome.
Delivery support
Illustrative workflowCustomer10:14 AM
Hi, I need to reschedule my delivery for next week.
AI agent10:14 AM
No problem, I can help with that. Let's find a new date that works for you.
Customer10:15 AM
Great, Thursday works.
Delivery rescheduled
Customer notified · handoff not needed
AI voice agents
From conversation to resolution.
Routine calls fill your team's day. Decide which ones an AI agent should take, what it may do, and when a person takes over.
Explore AI voice agentsQuality criteria
Illustrative workflow- DisclosureEvidence: Agent introduced itself as automated
- VerificationEvidence: Order confirmed before the change
- ResolutionEvidence: Change completed and confirmed by the customer
- HandoffEvidence: Not needed on this call
Call quality
A score should come with evidence.
Quality reviews hold up when each finding points to the moment in the call behind it, for human and AI calls alike.
Explore call center QAImprovement
Illustrative workflow- FindingCustomers often ask about delivery windows.
- Proposed instructionOffer the next two available windows first.
- ReviewA supervisor approves before anything changes.
Conversation intelligence
Insight your team can act on.
The same questions and missed steps show up across many calls. Finding those patterns, and agreeing what to change, is where improvement starts.
Explore conversation intelligenceCall quality intelligence
One QA standard
for human and AI calls.
Many QA programs review a small sample of human calls, and AI calls are often not reviewed at all. Our focus: one quality standard for both, scorecards backed by evidence, and coaching that follows the call.
- Human + AI quality assurance
- Evidence-linked scorecards
- Coaching that follows the call
QA review
Illustrative workflowAI agent10:15 AM
Done. Your delivery is now on Thursday, and you'll get a confirmation shortly.
Customer10:15 AM
Great, thank you!
Resolution confirmed
The agent completed the change and the customer confirmed it on the call.
Built for your team
Sales, support, and BPO teams.
AI call center software should start with the calls your team handles most, then connect them to quality review and better coaching.