DeskAI Multi-Agent Platform with Six Autonomous AI Specialist Agents
An enterprise-grade, AI-first multi-agent platform that routes every customer conversation to one of six autonomous specialist agents—Support, Sales, Lead Qualification, E-commerce, Operations and Marketing—grounds every answer in a curated company knowledge base, enforces strict per-agent tool permissions, and hands the conversation to a human operator the moment an agent needs help.

Project Overview Overview
We built DeskAI, an AI-powered multi-agent platform for businesses that run customer support, sales and internal operations through a single front door. Traditional single-model chatbots try to answer refunds, product questions, order status and internal requests all at once—they confuse context, cannot safely take action, and leave support and sales teams re-handling most conversations by hand. DeskAI replaces that with one conversational interface backed by an intelligent router that reads each message and hands it to the right specialist agent. Each agent answers from a curated knowledge base, can call only the business tools it is explicitly allowed, and pauses for a human operator whenever a request is beyond it. The operator console provides a live operations overview, a full conversation audit trail with downloadable PDF decision briefs, a human handoff queue, a Leads CRM, knowledge base management, agent controls and an error feed—all secured behind role-based admin sign-in.
Key Features Features
Intelligent Intent Router & Six Specialist Agents
Every customer message is classified by an AI router and handed to the right specialist—Support, Sales, Lead Qualification, E-commerce, Operations or Marketing—with handoffs that keep the full conversation context.
Knowledge-Grounded Answers
A curated knowledge base of company, product, pricing, policy and FAQ documents, searched with PostgreSQL full-text search, so agents answer from verified business facts; admins can upload, open, edit and remove documents from the console at any time.
Deterministic Tool Guardrails & Audit Trail
Each agent may call only the tools on its own allowlist—product search, stock and order checks, lead qualification, task creation—and any call outside it is refused before it runs and surfaced in the Error Feed, while every conversation turn is recorded for audit.
Human Handoff, Leads CRM & Decision Briefs
Conversations an agent cannot finish move to a live Human Escalation Queue where an operator replies to the customer directly; genuine buying interest becomes a scored lead in the Leads CRM, and any conversation can be exported as a formatted PDF decision brief.
Technology StackStack
Development Process
Requirement Analysis
Mapped the Scope of Work into one shared platform core—chat sessions, conversation memory, intent routing, agent handoffs, tool permissions and audit logging—so all six specialist agents and the operator console run on the same foundations.
UI/UX Design
Designed a clean public website with a floating AI chat launcher and pre-chat intake form, plus an operator console with a live operations overview, conversation audit trail, handoff queue, Leads CRM, knowledge base and agent controls, in light and dark modes.
AI & Automation
Engineered the Gemini-powered intent router, the six specialist agent prompts and their function-calling tool loop, per-agent tool allowlists, knowledge base search, lead qualification scoring and the human escalation flow.
Testing & Deployment
110+ automated tests across authentication, admin permission checks (RBAC), security, chat lifecycle, agent handoffs, leads and the knowledge base, then deployed to production behind an NGINX reverse proxy with PM2 process management.
Project Screenshots
Still Have Questions?
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