AI Voice Gateway
A multilingual AI call handling system for high-volume operations — routing routine calls automatically, escalating with context, and improving through structured feedback loops.
High-volume call centers burn human attention on repetitive calls.
Airlines, banks, and other high-volume operators pay large teams to answer the same routine questions repeatedly: account balances, flight status, office hours, baggage rules, booking changes. The result is high staffing cost, inconsistent caller experience, and human agents spending their time on low-complexity work instead of the calls that actually require judgment.
A voice gateway that handles, routes, escalates, and learns.
AI Voice Gateway is a multilingual voice system that answers routine inbound calls in Swahili and English, routes intent through auditable workflows, hands unresolved cases to human agents with full context attached, and feeds unresolved outcomes back into the system for continuous improvement.
Language-aware inbound handling
The system detects whether the caller is speaking Swahili or English automatically and begins responding without IVR menu friction or language selection prompts.
Workflow-based intent routing
n8n workflows route each caller request to the right knowledge source, decision path, or escalation branch with full auditability and deterministic control.
Natural AI voice response
ElevenLabs handles conversational voice interaction with natural speech output, allowing routine questions to be resolved without a human agent.
Escalation with context
If the AI cannot resolve the call, the system escalates to a human agent with transcript context, escalation reason, and caller intent already attached.
Improvement loop
Unresolved outcomes can trigger ticket creation, knowledge base updates, and workflow refinements so the system improves over time instead of staying static.
Tools Used
Twilio, ElevenLabs, n8n, Qdrant, Netlify, Cloudinary, workflow automation, multilingual voice AI
Outcome
A boardroom-ready voice AI platform for Kenyan airlines and banks, designed to reduce repetitive call load, cut staffing pressure, and create a reusable SaaS-style deployment model.
Market Fit
Built around bilingual call handling for Swahili and English, with expansion paths for 30+ languages and clear escalation flows for regulated, high-volume operations.