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Overview

AI workflow & agent integration

When support messages arrive, who handles them first? Can FAQs auto-reply? Can humans only see pre-summarized cases? We built an AI workflow system that chains tools into automation — intake, intent, routing, drafting, and quality checks — so most steps no longer need hands-on work.

Architecture

LLM engine
Understanding
Orchestration
Automation
API glue
Integrations
Database
Knowledge

Highlights

Agent routing

Messages are classified and prioritized, then sent to the right flow — fewer misses and delays.

Multi-model handoff

Different models for drafting, classification, and QA — each does what it does best.

Visible workflows

See where a message is, what the AI decided, and what was sent.

Improves over time

Outcomes feed back into quality without full manual reconfiguration.

How the workflow runs

  1. 1

    Intake

    Messages from web, social, and chat enter one system.

  2. 2

    Intent

    AI classifies FAQ vs sales vs complaint and urgency.

  3. 3

    Route

    FAQs auto-reply; human cases arrive with context prepared.

  4. 4

    Draft

    AI drafts from knowledge and history; QA before send or human confirm.

  5. 5

    Learn

    Results improve later routing and reply quality.

Outcomes

80%+
Automation rate
95%
Reply accuracy
-70%
Human time
24×7
Availability

Want AI workflows for your business?

Hand repetitive work to AI so your team can focus on higher-value work.