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Automation

Agent Control Plane

Governance workflow that catalogs every AI agent teams build, moves each through review gates before go-live, tracks real adoption per agent, and keeps a full audit trail.

  • Gives a business one place to find and govern the agents its teams build
  • Holds an agent in review until its gates pass, including an eval threshold
  • Tracks real adoption per agent instead of stopping at go-live
Open the agent catalogWalk a governance review

Agent registry

7registered
4live
2in review

Primary interaction

AgentOwner teamRiskEvalStatusWeekly users
Research SummarizerSummarizes filings and call transcripts into cited bullets.Investment Researchmedium94%

Agent Control Plane — Live AI Demo

Live		210
Meeting Recap AgentTurns meeting transcripts into action items and owners.Operationslow91%

Agent Control Plane — Live AI Demo

Live		340
Policy Q&AAnswers staff questions against internal policy documents.Risk & Compliancehigh88%

Agent Control Plane — Live AI Demo

Review		—
Data Catalog SearchResolves plain-English questions to governed datasets.Data Platformlow96%

Agent Control Plane — Live AI Demo

Live		180
Onboarding AssistantWalks new hires through setup and answers HR FAQs.Peoplelow90%

Agent Control Plane — Live AI Demo

Approved		—
Expense TriageFlags out-of-policy expenses for human review.Financemedium92%

Agent Control Plane — Live AI Demo

Live		120
Vendor Risk ScreenerPre-screens new vendors against a risk checklist.Procurementhigh—

Agent Control Plane — Live AI Demo

Draft		—
  1. Draft
  2. Review
  3. Approved
  4. Live
  • passedRisk tier assigned
  • pendingEval threshold met
  • passedData-access scope approved
  • passedHuman review configured
  • pendingOwner sign-off

One catalog, one governance bar, real adoption tracked per agent.

7agents governed
7owner teams
4live in production
Under the hood

Capability proof

Capability proof

Governed agent catalog

Service model

A control plane for the AI agents many teams build across a firm.

Intelligence layer

Registers each agent with owner, risk tier, eval score, and live adoption.

Operational state

Holds the catalog, the promotion lifecycle, gate status, and audit history together.

Human control

An agent stays in review until its gates pass, with an explicit owner sign-off.

Business value

Turns agent sprawl into a discoverable, governed, measured portfolio.

Architecture

The control plane is the hub; each team owns and operates its own agents as spokes. The hub holds one registry, one promotion path, and one governance bar, so an agent built by any team is discoverable and held to the same review gates. Promotion is the enforcement point: an agent cannot reach Live until its risk, evaluation, data-scope, human-review, and sign-off gates pass. Adoption is tracked after go-live so a team can see whether anyone actually uses what it shipped. The demo runs client-side over a precomputed synthetic dataset.

What this demo is, and isn't

  • All agents, teams, and metrics are fictional and labeled synthetic.
  • This shows the governance and catalog pattern, not a specific employer's system.
  • Promotion gates are illustrative of the review a regulated firm would apply before an agent goes live.