AI Call Center Operations
Scale coverage without sacrificing quality — with supervision, queues, transfers, and measurable performance.
Back
Inbound/outbound teams, operations leaders, and high-volume service orgs
Workflow
1
Route
Inbound calls enter a queue and route to AI and/or humans based on rules and capacity.
2
Handle
AI handles intent, qualification, and first-mile resolution. Humans join for complex cases or closing.
3
Supervise
Listen/coach/barge modes are policy-controlled; supervisors pick the exact live call by handler.
4
Measure
Track outcomes, throughput, and conversion — and iterate on scripts/playbooks.
Outcomes
Fewer missed calls and faster response time
Clear QA workflows (policy-controlled recordings/transcripts)
Supervisor visibility into who is handling each live call
Modules that power it
Typical ROI levers
Coverage
24/7 responsiveness
Reduce missed calls and slow follow-ups.
Cost leverage
More handled interactions per supervisor
One supervisor can monitor multiple concurrent interactions.
Quality
Fewer escalations and better consistency
Playbooks + monitoring improve outcomes over time.
Quick estimate
Use this to justify investment without diving into technical details.
Impact calculator (estimate)
This is a directional estimate based on your inputs. Actual results depend on your industry, offer, and operations.
12%
45%
18%
Estimated incremental revenue (USD/month)
$9,331
96 missed → 43 recovered → 8 closes