MillerKnoll AI
AI Leverage

What turns an answer into an action.

TracE proved AI could answer from our own knowledge. The IT Support Agent proves it can act — and the leverage is in the knowledge model, the connectors, and a team lean enough that an intern can ship it.

Write · moderate · prune
2,000+ articles

Knowledge as an operating model

TracE’s real innovation wasn’t retrieval — it was treating knowledge as a living operating model: authored, senior-tech moderated, and pruned, so the base stays trustworthy as it triples in size.

The agentic layer
7+ systems

Connectors turn answers into actions

Axonius, Jamf, Tanium, Jira Service Management, Outlook, Teams, OneTrust, and Genesys — each a reusable connector that lets the agents do the work, not just describe it. Device context prefilled, tickets routed, incidents run.

Relationship-based retrieval
connection-aware

Teamwork Graph grounding

The technician agent grounds answers in Confluence through Atlassian’s Teamwork Graph — surfacing related articles and context by relationship, not just text match, during live incidents.

Mentored delivery
May → Aug 2026

An intern shipped it

Both agents were built by Anna St. Clair, who began as a summer intern and stayed on part time — a lean team multiplying its capacity, with the reusable connectors and AISE standards making enterprise-grade delivery possible from day one.