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AI Platforms & Conversational Systemsactive

Aalee Assist

Omnichannel AI support platform with human escalation across seven channels

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Role
Product lead (internal role) and main engineer (AI/ML Engineer, Aalee)
Year
2025-2026

Why it exists

Support split across seven inboxes, and a bot that cannot hand over

Customer conversations arrive on WhatsApp, Telegram, Slack, email, Mattermost, Instagram and Facebook, each with its own inbox and its own history. Bolt-on chatbots answer what they recognise and dead-end the rest, so the handover to a person arrives late, without context, and lands on whoever is free rather than whoever can actually help.

  • Conversations fragmented across seven channels with no shared inbox or history
  • Assistants that cannot tell when they are out of depth, so they escalate late or not at all
  • Handovers that drop context and make the customer repeat themselves
  • Teams locked to a single model provider, with no way to bring their own keys or switch models

What it does

Aalee Assist: one assistant, seven channels, and escalation decided by intent

Aalee's flagship product, pairing an AI assistant with a human team behind one shared dashboard and inbox. I lead the product direction of Aalee Assist (an internal role) and am one of its main engineers, working on the LLM and provider-routing layer, the real-time backend, the embeddable web widget and the agent dashboard.

Seven-channel shared inbox

WhatsApp, Telegram, Slack, email, Mattermost, Instagram and Facebook in one thread view

Intent-based tool calling

The assistant decides when to answer, when to hand over, and which agent should take the conversation

Bring your own key

15+ LLM providers and many models, so a team uses its own accounts and switches without a migration

Embeddable web widget

Drop-in widget for any site, with desktop builds through Tauri and a progressive web app

Agent dashboard and inboxes

Assignment, history and full context carried through every escalation

Multi-tenant access control

Single sign-on and dynamic domain resolution keeping each workspace separate

Screens

Aalee Assist screenshots (1/1)
1 / 1

Built with

  • Python
  • FastAPI
  • React
  • TypeScript
  • Vertex AI
  • Google Cloud
  • Redis
  • WebSockets
  • Tauri

Outcome

It gives a support team one place to work instead of seven, and an assistant that knows when to stop and fetch a person.

Posts about Aalee Assist

  • Feb 10, 2026·project

    What I build at Aalee: Assist

    Aalee Assist is the product I spend my days on at Aalee. It is a no-code platform for creating, training and deploying AI assistants that answer from a company's own knowledge, and it is where most of my engineering…

    Read post
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AHAbdul Hajees

AI/ML Engineer building production LLM applications and agentic AI systems

Tiruchirappalli, Tamil Nadu, India

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