Call Center AI by XAGI Labs
Enterprise-grade AI call center platform for inbound support, outbound campaigns, and automated case handling. We design, deploy, and optimize your voice operations with realtime conversational AI, structured data capture, human fallback, and full observability.
Inbound + Outbound Voice
Launch AI-led inbound support and outbound campaigns from a dedicated business number with seamless routing.
Voice + SMS Journey
Combine phone conversations with SMS for confirmations, reminders, and follow-ups in one workflow.
Multilingual Experience
Support multiple languages, tone controls, and localized scripts for global or regional operations.
Realtime Conversational AI
Low-latency streaming conversations with interruption handling, context tracking, and smooth turn-taking.
Structured Claim / Ticket Capture
Collect structured information in real-time using configurable schemas for insurance, IT support, and customer care.
Post-Call Reports
Auto-generate call summaries, action items, reminders, and case-level insights after each conversation.
Knowledge + Context Retrieval
Ground responses in your SOPs, product docs, and policy data with retrieval workflows for higher accuracy.
Safety and Guardrails
Include moderation, jailbreak detection, and policy-aware response filters for safer customer interactions.
Human Handoff
Escalate to live agents with full transcript and context transfer whenever confidence or intent thresholds are met.
Observability
Track quality, latency, tool usage, and resolution outcomes with trace-level monitoring and analytics.
Cloud-Native Deployment
Containerized architecture with elastic scaling, cost controls, and deployment options across major cloud providers.
API-First Call Triggering
Start AI calls programmatically through APIs for campaigns, reminders, collections, and proactive support.
Business Outcomes
- 24/7 customer availability without increasing support headcount
- Faster first-response and shorter average handling time
- Consistent call quality with repeatable compliance controls
- Higher closure rates for low-to-mid complexity support queries
- Actionable call intelligence for operations and QA teams
High-Impact Use Cases
- Insurance claims intake and policy support
- IT service desk triage and troubleshooting
- Collections, payment reminders, and account updates
- Appointment booking, reminders, and status calls
- Order verification, feedback collection, and customer care
Delivery Approach
Discovery (Week 1)
Conversation design, KPI alignment, call-flow mapping, and compliance guardrail planning.
Pilot (Weeks 2-4)
Domain grounding, integration setup, agent prompt tuning, and limited production traffic rollout.
Scale (Weeks 5+)
Performance optimization, automation expansion, multilingual rollout, and enterprise monitoring.
Reference Architecture We Productize
This offering is built on a proven open-source call-center pattern and hardened by XAGI Labs for enterprise rollout, integration depth, and production operations.
- Telephony gateway for inbound and outbound call control
- Speech-to-text and text-to-speech pipeline for natural voice interactions
- Fast and high-quality LLM routing for response quality and cost control
- RAG-backed knowledge retrieval from internal documentation
- Conversation and case storage for historical context and reporting
- Queue and event processing for resilient async operations
- Cache layer to reduce latency for repeat lookups
- Tracing, metrics, and quality dashboards for observability
Technical reference: call-center-ai open-source project. XAGI Labs delivers customization, deployment, integrations, and managed operations as a commercial offering.
Launch Your AI Call Center with XAGI Labs
From design to production operations, we partner with your team to deploy a measurable, secure, and scalable call center AI system.
Talk to Our Team