AI Call Center Playbook

Missed calls are lost revenue. Even answered calls drift without consistent routing, supervisor visibility, policy-controlled QA, and a feedback loop that connects disposition data back to script iteration.

• - Hold times and voicemail dead-ends
• - No supervisor visibility into live handlers
• - Inconsistent wrap-up and CRM updates
• - Scripts that never improve from measured outcomes

Route inbound demand into a queue, assign a handler (AI, human, or hybrid), supervise in real time, close every interaction with structured wrap-up, and measure conversion by queue and playbook version.

• - Queue visibility and capacity rules
• - Handler-aware monitoring
• - Warm transfers with spoken handoff
• - Structured disposition and CRM sync
• - Conversion reporting by script

You do not need a bigger floor to answer more calls. Hybrid AI + human coverage with supervisor coaching delivers 24/7 responsiveness while keeping quality measurable and improvable week over week.

• - 24/7 coverage without linear headcount
• - One supervisor monitors multiple concurrent calls
• - Warm handoffs preserve close rate
• - ROI levers visible in dashboards

Legible runs on Twilio media streams with sub-second voice, tenant-scoped recording policies, DNC checks, and export-friendly call logs — integrated with CRM and campaign attribution out of the box.

• - Twilio + ElevenLabs voice pipeline
• - Policy-controlled recording per tenant
• - Warm transfer API with CRM context
• - Webhook disposition events
• - Tenant-isolated call storage

Start with one inbound queue and a single playbook. Measure handle time, conversion, and escalation rate for two weeks, then iterate scripts and expand to outbound campaign voice steps.

• - Pick highest-volume inbound line first
• - Define disposition schema before go-live
• - Enable supervisor modes for QA week one
• - Connect CRM pipeline stages to outcomes