MillerKnoll AI
Intake / Ops

AI Intake Coordinator

ProductionMichael Pietrangelo

The agent that turns an idea into a scoped, routed request — and the blueprint for “the agent that knows all our agents.”

Executive Summary

The story, in brief.

AI ideas used to reach the Lean AI team through scattered channels — license queues, direct emails, hallway asks, threads that bounced between teams for weeks before anyone could scope them. The AI Intake Coordinator productized the intake process itself, so any associate can submit a well-formed, correctly-routed AI idea conversationally — and it became the blueprint for a true orchestrator-of-agents.

Orchestrator + 8
Child agents + 3 prompt tools
11 stages
Conversational intake session
Dual-routed
Solutions Engineering or Data Science
Auto-submitted
SharePoint + Word brief + Jira ticket
Architecture

How it’s built.

A Copilot Studio multi-agent system: a single-responsibility orchestrator routes an 11-stage conversation to eight child agents (plus three prompt tools for clarifying vague input), then classifies the request and dual-routes it. On confirmation it writes the intake to SharePoint, generates a Word brief, and creates a Jira ticket. Hover or tap an agent to see its role.

Steps through 2 generations — from The system to What’s next.

AI Leverage

What AI actually does here.

Evals over inspection
flaw caught pre-ship

AI tested the AI

Shelby built evals to test the orchestrator against representative cases rather than trust it by reading the code. The evals surfaced a real single-responsibility flaw — and re-verified the fix before anything reached Production.

SharePoint · Word · Jira
zero manual entry

Idea → ticket, automatically

On confirmation, the Coordinator writes a structured intake to SharePoint, generates a professional Word brief, and creates the Jira ticket — the whole hand-off that used to bounce between inboxes, done in one conversation.

SE or Data Science
confidence-scored

Routing as a first-class output

The Project Classifier routes each idea to the correct team with a confidence score and plain-language rationale — replacing a guess-and-hand-off that could cost two weeks with the right backlog from the start.

Collaborators

Built with the business, not for it.

Shelby Corbitt
Staff AI Solutions Engineer — primary builder; wrote the evals that caught the orchestrator design flaw.
Michael Pietrangelo
Director, AI Enablement & Knowledge — AISE lead; the intake is itself an AISE process.