AgentHub is the business value layer for the agentic enterprise.
Microsoft Agent 365 (GA May 2026) ships the technical control plane. AgentHub's job is what sits above it: business outcomes, ROI, intake, adoption — and a 4-level reuse stack that lets every BU compose value instead of rebuilding it.
The enterprise home for every AI agent.
One place to discover, register, govern and measure every agent across your business — no more silos, no more guesswork. Today we focus on onboarding and registering the agents you've already built.
Onboard an Agent
A seven-layer blueprint for enterprise agents.
Experience, orchestration, model gateway, integration, data & knowledge, and trust & governance — a shared blueprint so every team builds on the same foundation.
Trust by default. Visible at every step.
Identity, RBAC, evals and audit trails baked in — with real-time observability into latency, errors and adoption for every registered agent.
What makes AgentHub different.
Not another agent builder — an enterprise registry, governance plane and value layer that sits across whatever you build, wherever it runs. One catalog, one source of truth, measurable impact.
Explore the CatalogWhat is AgentHub?
AgentHub is the enterprise platform where AI agents are discovered, registered, evaluated, deployed and measured — across every business unit, system and persona. It unifies a curated Agent Catalog, a Learning Platform, live Value & Health metrics, and an AI Assist guide that walks you through it all.
- Single source of truth for every agent in the enterprise
- Standardized intake, governance and lifecycle management
- Built-in observability, value tracking and adoption analytics
- Self-serve learning to grow builders and informed consumers
Why AgentHub?
Agents are multiplying across the enterprise — fragmented, unmeasured and ungoverned. AgentHub solves that with one place to bring order, accelerate value, and protect trust.
Why AgentHub exists — and where it's going
AgentHub turns scattered AI experiments into a governed, measurable enterprise capability. Our vision and mission flow directly from the what and why above.
One enterprise registry. A marketplace of business outcomes.
ROI tied to finance. Adoption tied to roles. Reusability tied to a 4-level agent stack — supervisors, task agents, Markdown skills and connectors composed into business outcomes.
- One registry. Every agent — wherever it runs.
- Governance inherited from Agent 365 / Trust Layer / AI Control Tower / Vault.
- Outcomes — not experiments — measured against business KPIs.
Make every agent discoverable, governed and measured against business outcomes.
Wherever an agent runs — Veeva, Salesforce, ServiceNow or Microsoft — it registers in AgentHub. Governance is inherited from its native platform. Business value is measured here.
- Federate metadata from every governance backend into one unified view.
- Score every intake on value × feasibility × risk × reuse × urgency.
- Tie realized ROI to enterprise finance — by agent, by BU, by outcome.
What's inside AgentHub vs what we inherit
AgentHub is the GenieAI HUB registry and business value layer. Governance is delegated to whichever platform the agent runs on.
The business value layer
- Business catalogOutcomes by domain — extends the 42-agent catalog.
- Business intakeScored prioritization — extends the onboarding form.
- ROI dashboardReplaces self-reported value metrics; ties to finance.
- HITL business workflowApproval, escalation, evidence — business rules layer.
- Registration & onboardingGuided intake for new agents, federation for existing ones.
- Adoption engineRole-based learning, nudges, champion network.
- L1–L4 reuse fabricSupervisors, task agents, Markdown skills, connectors.
Governance backends · agent inherits from its native platform
- Microsoft Agent 365Entra Agent ID · Defender · Purview — for Microsoft-native agents.
- Salesforce Trust LayerEinstein guardrails · audit — for Agentforce agents.
- ServiceNow AI Control TowerNow compliance · approval — for ServiceNow agents.
- Veeva VaultGxP · 21 CFR Part 11 validated — for pharma / life-sciences agents.
Example · A Salesforce agent registers in AgentHub (always) and inherits SF Trust Layer governance. Agent 365 isn't in the path for non-Microsoft agents.
Two ways an agent enters AgentHub
Both end at the same place: registered in AgentHub, governed by the native platform, measured for business value.
Guided registration & onboarding
BU starts in AgentHub with a guided intake. We capture the use case, score it, recommend the right native platform (Veeva, SF, SN, MS) and onboard the agent into the registry.
- Conversational intake — value, risk, reuse, urgency.
- Platform recommendation based on data, governance and skills.
- Onboarded into AgentHub with KPIs, owner and lifecycle.
Federate what's already running
Agent already built natively in Veeva, Salesforce, ServiceNow or Microsoft. AgentHub federates metadata via vendor API and brings it into the business view.
- Shadow detection or BU registers an existing agent.
- Federation API call to the native platform.
- Cataloged with FEDERATED marker — governance stays native.
How reusability compounds — L1 → L4
Build once at L3/L4 — compose everywhere at L1/L2. Same Markdown skill, same connector, many supervisors, every BU.
Supervisor agent
Orchestrates a business outcome end-to-end. Plans, delegates to task agents, handles exceptions, reports value back to the business KPI it owns.
Task agent
Owns a single, well-defined job — prior auth submission, exception triage, audit-packet assembly, contract clause extraction. Lives in the catalog as a reusable building block.
Domain skill (Markdown)
Enterprise policies, playbooks, prompts and procedural know-how authored as versioned .md files. Reviewable in pull requests, owned by the business, mounted into any agent that needs them.
Connector
Governed access to source systems — Veeva, Salesforce, ServiceNow, M365, SAP, the data lake. Authentication, scopes, rate-limits and audit baked in.
Why this matters for the business
The L1–L4 stack is how AgentHub turns "yet another agent" into compounding enterprise value. It is also how the business value layer stays decoupled from the platform churn underneath it.
- Weeks → daysTime-to-launch a new agent collapses when L3/L4 already exist.
- 1 task agent → N supervisorsThe same prior-auth task agent serves Commercial, Specialty and CGT.
- Markdown = source of truthSkills are versioned, reviewable and governed — owned by the business.
- Connectors built onceNo more duplicate Veeva or SAP integrations across BUs.
A layered blueprint for agentic AI
From experience to data — seven layers that compose every enterprise agent.
- Unified Agent Catalog with search, filters & details tabs
- AI Assist guides users through onboarding & governance
- Dashboards for Value, Health, Governance & Performance
- Guided product tours and contextual help
Identity, evals, audit and Responsible AI policies apply at this layer.
Register · Onboard · Host — today. Build · Reuse · Deploy — tomorrow.
Today AgentHub supports Register, Onboard and Infrastructure Services for agents your teams have already built. The visual Flow Builder, first-class Build authoring, cross-BU Reuse and one-click Deploy are on the roadmap — designed to collapse delivery cycles as the platform matures.
Business reusability — the multiplier
Every certified agent, skill, tool and prompt becomes a building block other BUs can fork and remix. The flow builder makes composition visual; LangChain/LangGraph makes it production-grade; the catalog makes it discoverable. Net effect: cycle times collapse as teams stop rebuilding and start composing.
Have an agent to share?
Register it in the hub so the whole organization can discover, govern and measure it.