Solutions

Coordinate customer conversations across channels with governed agents.

QUI helps teams bring chat, external channels, memory, and agent workflows into one controlled conversation layer.

01

The Problem

Customer communication is fragmented.

Messages arrive through email, chat, Slack, Discord, WhatsApp, Telegram, and other systems. Context is spread across threads, tools, and people. AI can draft responses, but unmanaged agents create risk when they respond without context or authority.

02

What QUI Enables

With Strings, Memory, Anima, Thalamus, and M2M, QUI can support:

  • Unified conversation containers
  • Channel-specific message context
  • Agent participation in conversations
  • Reply ownership controls
  • Human handoff
  • Draft, review, and approve workflows
  • Persistent customer memory
  • Multi-agent escalation
03

Example Workflow

  1. A customer message arrives through an approved channel.
  2. QUI routes it into the correct conversation container.
  3. A triage agent classifies urgency and topic.
  4. A knowledge agent retrieves relevant context.
  5. A response agent drafts a reply.
  6. A human approves sensitive responses before sending.
  7. The interaction becomes memory for future conversations.
04

Controls

  • Send and receive permissions separated
  • Reply owner assignment
  • Channel-specific bindings
  • Human approval for sensitive topics
  • Tenant boundaries for hosted contexts
  • Evidence of agent involvement
05

Outcome

Customer operations gain speed without giving up control.

Agents can help draft, organize, and escalate while humans remain in charge of important replies.