Root & Logic

    OMNI SUPPORT

    (YEAR)2026
    (TIMELINE)8 Weeks
    (SERVICES)
    • AI Automation
    • Design
    • Development
    OMNI
SUPPORT - View 1

    Challenges.

    Support requests were scattered across disconnected channels, each with its own tool and inbox. Response times were slow and answers inconsistent, because agents had to manually hunt through documentation and copy-paste replies. Nothing scaled, and quality depended entirely on which agent happened to pick up the ticket.

    Solutions.

    We built an end-to-end omnichannel support engine: 1. Unified Inbox: Every channel — email, live chat, WhatsApp, social DMs and web forms — flows into one threaded inbox, so no request is missed and context is never lost between tools. 2. RAG Knowledge Pipeline: We indexed the company's documentation, policies and past tickets into a retrieval-augmented-generation pipeline, giving the AI a single, always-current source of truth to answer from. 3. Grounded AI Responses: The AI drafts source-grounded replies citing the underlying docs, auto-resolves routine tickets, and escalates complex or sensitive cases to a human — with full analytics on volume, resolution rate and response time.

    RAGOMNICHANNELAI SUPPORTAUTOMATION

    Results.

    • Every channel handled from one inbox — nothing falls through the cracks
    • Routine tickets resolved automatically, around the clock
    • Consistent, on-brand answers grounded in the company's own knowledge base

    EVERY SUPPORT REQUEST, FROM EVERY CHANNEL, ANSWERED FROM ONE PLACE — AND THE AI HANDLES THE REPETITIVE WORK SO OUR TEAM HANDLES THE PEOPLE.