SERVICE

AI Chatbot & LLM Integration

LLM agents on the channels customers already use, web, WhatsApp and telephony, with retrieval, tools and a human handoff.

Web widgetWhatsAppTelephonyRAGReact / Next.jsNestJS / FastAPI

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.

2026 buying brief

Who this is for

Product teams that shipped a website widget and now need WhatsApp and the phone to obey the same policy.

What you get

One orchestrator, channel adapters, RAG with a source, CRM write-back and a human queue when confidence drops.

Searches this page answers

AI chatbot development, WhatsApp LLM agent, RAG chatbot, voice + chat same rules.

2026 search & AI-search context

A public chatbot is not an architecture. Buyers who convert already have a knowledge base and a ticket system; they need retrieval, tools and a hangup the model does not own. Pair this brief with private AI when documents cannot leave, or n8n when the next step is a CRM write.

Reference architecture

Multi-channel LLM agent
WebWidget / app
WhatsAppSession + templates
PhoneSIP / STT-TTS
OrchestratorPolicy · memory · tools
RAGVector + business DB
CRM / ticketsWrite-back
Human queueBelow threshold
Same business rules. Channel-specific adapters.

Delivery

Prompt + eval

Consistent outputs, regression tests, not one-off playground prompts.

RAG pipelines

Knowledge-base chat that can point at the source document.

Widgets

Embeddable chat that matches the product UI.

Channel adapters

WhatsApp and telephony without copying the web prompt blindly.

Escalation

Human agents when the model should stop talking.

Observability

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.

FAQ

Questions buyers ask before hiring

Direct answers on scope, stack, rescue vs build, and how to start, structured for search and AI summaries.

Direct answers on scope, stack, rescue vs build, and how to start, structured for search and AI summaries.

Production agents need barge-in, latency budgets, tool-calling into CRM/ERP, policy gates and observability. The LLM sits outside call control; Asterisk/FreeSWITCH still owns media and failover.

It depends on tenancy, data residency and whether voice is the product or a channel. We compare build vs buy in the first reply; see Vapi vs Retell framing.

Yes. Warm transfer with CDR, transcript summary and CRM pop is a standard pattern in CCaaS and insurance workflows we document on case studies.

Yes. Tenancy, RBAC, billing hooks, admin consoles and APIs are first-class, whether or not FreeSWITCH/Asterisk is in the stack.

Laravel, NestJS, Go, PostgreSQL, React/Next.js and Kubernetes appear across case studies. We match the stack to ops skills and compliance, not fashion.

Yes. Prepaid wallets, PayPal/Sofort-style top-ups and consultant payouts appear in marketplace and ERP case studies.

Share the current stack (PBX, CRM, cloud), the failure or goal in one paragraph, peak call volume, carriers, and any deadline. Screenshots, a pcap, or a short Loom beat a 40-page RFP. Use the project brief or email hello@unifiedpbx.in.

Yes. Delivery is remote-first from Delhi with scheduled overlap for EU, UK, US and APAC stand-ups. Production changes use written runbooks, rollback steps and agreed maintenance windows.

Yes. Many engagements begin with a 1–2 week SIP trace review, tenant-isolation audit, or architecture assessment. If the fit is good, scope expands from evidence, not from a generic sales deck.

Founders, CTOs, telecom leads, MSPs and product teams building or fixing UCaaS, CCaaS, CRM+voice, AI voice, or vertical SaaS, not buyers who only need seats on a mass-market suite.

Need this built?

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.in
Related
Case study: AI Legal Assistant (India) →Private AI architecture →AI voice on SIP →Private AI solution →SIP AI voice case study →

Architecture first. Then production.

A practical technical discussion focused on SIP, media, tenants, AI and the delivery path, not a generic sales deck.

Send the brief