LLM agents on the channels customers already use — web, WhatsApp and telephony — with retrieval, tools and a human handoff.
Chatbots here are production agents: they answer tier-1 support, qualify leads and resolve FAQs, then escalate when the confidence threshold says so. Frontends in React and Next.js. Agent logic in NestJS and FastAPI. Models from OpenAI, Claude, Gemini or a self-hosted runtime when data cannot leave.
Consistent outputs, regression tests, not one-off playground prompts.
Knowledge-base chat that can point at the source document.
Embeddable chat that matches the product UI.
WhatsApp and telephony without copying the web prompt blindly.
Human agents when the model should stop talking.
Transcripts, tool traces and the reason a handoff fired.
Healthcare booking, finance eligibility and e-commerce support are typical verticals for the voice twin of this work. The model never owns hangup or transfer on a phone path.
Send the current architecture, call volume, carriers and the workflow you need to automate or productize. Discovery can start from a broken PBX or a blank product brief.
Discuss Your Project hello@unifiedpbx.inA practical technical discussion focused on SIP, media, tenants, AI and the delivery path — not a generic sales deck.