🎉 Version 3 AI Agent Central v3 is here — the new AI Hub for employees, Microsoft Agent 365 integration, and a refreshed experience.
✦ Version 3 · Now available Aligned with the Microsoft Agent Readiness Framework

Register, validate, and govern your AI agents at enterprise scale.

A unified command center for the AI agent lifecycle - from intake and assessment through deployment, adoption, and continuous improvement - now with the employee-facing AI Hub and native Agent 365 integration.

Explore features →
5
Readiness pillars
100%
Lifecycle coverage
A365
Native integration
Dashboard Agent 365 integration Agent catalog Activities AI goals Reporting
Live dashboard
Real-time insights
Built on the Microsoft Agent Readiness Framework

Enterprise-grade readiness, by design.

Every assessment, scorecard, and governance workflow in AI Agent Central is mapped directly to Microsoft's five-pillar Agent Readiness Framework - so your evaluations stay aligned with the industry standard for safe, scalable, and value-driven AI adoption.

01
Strategy
Vision & roadmap alignment
02
Process
Workflow & operations fit
03
Platform
Technology & data foundation
04
People
Skills & change readiness
05
Governed
Security, compliance & trust
New · Agent 365

Your Agent 365 estate, governed in one place.

Customers who own Agent 365 licenses can now connect AI Agent Central directly to Agent 365 - so the agents already running in your tenant show up in your governance catalog automatically, with full detail, no manual re-entry.

Estate sync Agent detail view Governance in context Licence-aware
New in v3 · AI Hub

A companion app for everyone else.

AI Agent Central is for the people who govern AI. AI Hub is for everyone who uses it - an employee workspace with an AI product store, ideas bank, surveys, and learning, wrapped in light gamification. Every module is optional.

Dashboard AI Product Store Ideas Bank Surveys Learning
✨ Just Shipped
New Feature

User Presence - see who's working alongside you.

Real-time presence indicators surface every teammate currently active in AI Agent Central. Hover the avatar stack to see who's online, what they're viewing, and reach out instantly - turning agent governance into a live, collaborative workspace.

  • Live avatar stack of all users currently in the app
  • Hover to see names, roles, and active section
  • Reduces duplicate work and accelerates reviews
  • Built on lightweight, privacy-aware presence signals
Why AI Agent Central

Everything you need to govern AI at scale

From discovery to retirement - one platform for the full lifecycle of every enterprise AI agent.

◆

Agent Catalog

Single source of truth for every registered AI agent across business units, with status, ownership, and readiness at a glance.

▲

Readiness Assessment

Validate agents across five pillars - Strategy, Process, Platform, People, and Governance - before they reach production.

●

Activity Tracking

Kanban, list, and calendar views to track every task, review, and milestone across your agent portfolio.

♦

Usage & Adoption

Real-time visibility into how each agent is being used, by whom, and the business value it delivers.

✦

Agent 365 Integration

Own Agent 365 licenses? Sync your live agent estate straight into the catalog and govern discovered agents alongside registered ones.

◈

AI Hub for Employees

A companion app with an AI product store, ideas bank, surveys, and learning - so your whole organization can discover and shape AI, not just govern it.

■

Executive Reporting

Beautiful dashboards covering agent status, pillar readiness, departmental adoption, and survey insights.

Command Center

Your enterprise AI portfolio - at a glance.

A single welcoming dashboard that surfaces what matters most: agent counts, high-priority items, production readiness, and upcoming reviews.

  • Personalized welcome and quick stats
  • Recent agents and readiness pillars side-by-side
  • One-click registration of new AI agents
Agent Catalog

A registry built for the enterprise.

Browse every registered agent with rich filtering, status indicators, ownership, business priority, and pillar readiness scores - all in a single, clean catalog.

  • Filter by status, priority, owner, and pillar
  • Side-by-side agent comparison
  • Track Draft → In Review → Approved → Retired
Deep Inspection

Every agent, fully documented.

Detailed agent profiles include lifecycle stage, ownership, KPIs, reviews, delivery progress, skills, and the complete five-pillar readiness scorecard.

  • Lifecycle timeline from New Idea to Retirement
  • Overview, Delivery, Skills, KPI, and Reviews tabs
  • Readiness pillars with expandable criteria
Modules

Built for the full agent lifecycle

Specialized workspaces for each stage of governance - from intake to deep analytics.

Activities

Three views, one source of truth

Switch between Kanban, list, and calendar to plan and track every agent-related activity. Whatever your team's working style - we have a view that fits.

Kanban Board List View Calendar Assignment
Assessment

Structured readiness scoring

A guided assessment workflow that walks owners through every readiness pillar, captures supporting evidence, and produces a board-ready scorecard.

Strategy Process Platform People Governance
Reporting

Insights that drive decisions

A reporting suite covering agent status, pillar readiness, departmental coverage, KPI RAG status, popularity, and end-user surveys - all in one place.

General Analytics Usage Popularity Surveys
Agent 365

The live estate, connected

Pull the agents Agent 365 already tracks into AI Agent Central, inspect them in full detail, and govern them with the same pillars, activities, and KPIs as everything else.

Estate sync Detail view Licence-aware Zero re-entry
Goals

Align agents to outcomes

Tie every agent to enterprise AI goals, track contribution, and roll up KPI status - so leadership knows your AI program is delivering measurable value.

Goal Tracking KPI Rollups RAG Status
Configuration

Tailored to your organization

Brand it, structure it, and govern it the way your enterprise needs.

Ready to govern your AI agents with confidence?

Bring transparency, structure, and accountability to your AI portfolio - with the platform built for the enterprise.

Latest feature · requires Agent 365 licenses

Agent 365 integration.

AI Agent Central now talks natively to Agent 365. If your organization owns Agent 365 licenses, every agent Microsoft already knows about becomes visible - and governable - inside your catalog, side by side with the agents your teams register themselves.

1
Connected estate
0
Manual re-entry
A365
Licence required
How it works

One catalog for registered and discovered agents.

Agent 365 knows what is running in your tenant. AI Agent Central knows how it should be governed. The integration joins the two, so your readiness assessments, owners, and KPIs sit against the live estate instead of a stale list.

  • Bring the Agent 365 agent inventory into the AI Agent Central catalog
  • Open a full detail view for any Agent 365 agent without leaving the app
  • Attach readiness assessments, goals, and activities to discovered agents
  • Available to customers with Agent 365 licenses - the tab appears automatically
Microsoft 365 Copilot Studio Dataverse Power Platform
💡
Licensing. The Agent 365 integration lights up for tenants that own Agent 365 licenses. Without those licenses the rest of AI Agent Central works exactly as before - agents are registered and governed manually.

Govern what you already run.

Connect Agent 365, pull your estate into the catalog, and put a readiness score against every agent in your tenant.

New in v3 · Companion app for employees

Meet AI Hub - where your whole organization meets AI.

AI Agent Central governs your AI programme. AI Hub is the front door for everyone else - a friendly, gamified workspace where employees discover approved AI products, pitch ideas, answer surveys, and build their skills. Every module is optional: switch on only what your organization needs.

↓ Download v3 solution
5
Modules
100%
Optional & toggleable
1
App for every employee
AI Hub · Employee experience

Adoption you can actually see.

A welcoming dashboard greets every employee with what's new, what's popular, and what they've achieved - turning AI rollout from a mandate into something people opt into.

  • Personal dashboard with progress, points, and streaks
  • Gamification - levels, badges, and leaderboards
  • Every module can be switched on or off per tenant
  • Shares the same Dataverse foundation as AI Agent Central
Dashboard AI Product Store Ideas Bank Surveys Learning
The five modules

Switch on what fits your organization

Every module below is optional. Start with one, add the rest as your programme matures - no redeployment required.

◆

Dashboard

Optional

A personalized landing page: what's new in AI, the employee's own progress, points and badges earned, and quick links into every other module.

Personal progress Announcements Quick actions
▲

AI Product Store

Optional

A curated storefront of every approved AI product and agent in your organization. Employees browse by category, read what a tool does, and launch it - so nobody has to ask "what am I allowed to use?"

Curated catalog Categories Ratings One-click launch
●

Ideas Bank

Optional

Let employees pitch the AI use cases they actually want. Ideas are submitted, voted on, and triaged - giving your CoE a demand-driven pipeline instead of guesswork.

Submit Vote Status tracking Moderation
♦

Surveys

Optional

Capture sentiment and measure impact straight from the people using AI every day. Results feed the reporting suite in AI Agent Central, closing the loop between rollout and evidence.

Pulse surveys Feedback Reporting feed
★

Learning

Optional

Curated learning paths and courses that build real AI skills, with progress tracking and completion rewards - so enablement lives in the same place as the tools.

Learning paths Courses Progress Rewards
✦

Gamification

Built in

Points, levels, badges, and leaderboards run across every module - rewarding the behaviours you want more of: exploring tools, sharing ideas, finishing courses.

Points Levels Badges Leaderboard
Personal experience

Every employee sees their own journey.

A personal dashboard tracks the products someone has tried, the ideas they've raised, the surveys they've answered, and the learning they've completed - alongside the points and badges they've collected along the way.

  • Individual progress across all active modules
  • Points, level, and badge collection at a glance
  • Encourages return visits and sustained adoption
Administration

You stay in control

Everything employees see is configurable from AI Agent Central - features, content, rewards, and moderation.

🎛️
All modules are optional. Use Feature Enablement in settings to switch Dashboard, AI Product Store, Ideas Bank, Surveys, and Learning on or off independently - roll out one module at a time, or run the full hub from day one.

Give everyone a front door to AI.

Deploy AI Hub alongside AI Agent Central and turn your AI programme into something the whole organization can explore, shape, and learn from.

Step-by-step installation playbook

Deploy AI Agent Central in your tenant.

A complete walkthrough for installing, configuring, and publishing AI Agent Central and AI Hub - from the Power Platform environment and Dataverse solution import, through Copilot Studio agents and the Agent 365 custom connector, to your first business unit setup.

6
Deployment stages
3
Copilot Studio agents
~75
Minutes end-to-end
Before you begin

Prerequisites checklist

◆

Power Platform Environment

An environment with Dataverse provisioned and ready.

▲

System Administrator Role

For the designated Power Platform environment.

●

Teams Team for CoE

With channels for Discussion and Support.

♦

Teams & Channel IDs

Capture the CoE channel link and extract Team ID and Channel ID.

★

Copilot Studio Access

Required to configure and publish the three solution agents.

■

M365 Admin Copilot Report

CSV export of the M365 Copilot Agent and user usage report.

▼

Entra Security Group

Required for Sandbox or Production environments only.

⚡

Power Apps Premium License

Power Apps Premium (or a Developer plan) license is required to run the code app and premium connectors.

Stage 1

Deploy the Power Platform environment

Provision the environment that will host the Dataverse database and AI Agent Central app.

01
Power Platform

Environment with Dataverse

Create the environment, enable Dataverse, assign roles, and turn on Power Apps Code Apps.

⏱ ~10 min
1
Sign in to the Power Platform Admin Center using your System Administrator credentials.
2
Click Manage > Environments and select New.
3
Choose the appropriate environment type.
Tip: A Developer environment includes Dataverse and is ideal for individual use and testing.
4
Provide a name and region, select Dataverse as the database option, and click Next.
Configure environment name and region
Enable Dataverse for the new environment
5
If you selected Sandbox or Production, provide the Entra security group name that will have access to this environment.
6
Once created, open the environment's settings. Under Users, add users who need access and assign them the App Opener role (or an equivalent security role) so they can launch apps.
7
Go to Settings > Features, locate Power Apps Code Apps, and enable it so users can build and run code-based apps.
Stage 2

Import the solution

Bring the AI Agents Governance Hub solution package into your environment.

02
Solution

Import AIAgentsGovernanceHuB package

Upload the solution ZIP, resolve connections, and configure environment variables.

⏱ ~10 min
2
Click Environments and select the appropriate environment.
Select your Power Platform environment
3
In the left navigation click Solutions, then Import solution from the toolbar.
Import solution toolbar action
4
Download the latest solution package ↓, then click Browse, select the AIAgentsGovernanceHuB_3_0_0_13.zip file, and click Next.
5
Click Next on the review solution details page.
6
Resolve any missing dependencies or connection conflicts before proceeding, then click Next.
Sign in to connectors and resolve connections
7
Configure the Teams ID and Channel ID environment variables, then click Import.
Set Teams ID and Channel ID environment variables
8
Wait for the import to complete.
Typical import time is 5-10 minutes.
Solution import in progress
9
Verify the solution components and ensure everything deployed as expected.
03
Access

Share app access

Grant your AI CoE team access to the AI Agent Central app.

⏱ ~5 min
1
Navigate to make.preview.powerapps.com and confirm the correct environment is selected.
2
Click Apps in the left side navigation menu.
Power Apps navigation menu
3
Select the AI Agent Central app and choose Share > Share.
Share app menu
4
Add the members of your AI CoE Team and select the AI Hub Users permission.
Assign AI Hub Users permission
Stage 3

SharePoint site for pillar evidence

Create the communication site that will store evidence documents and usage exports.

04
SharePoint

Create site & document libraries

Provision a Communication site with two libraries: Evidence and Usage.

⏱ ~5 min
1
Navigate to your SharePoint admin center at https://tenant-admin.sharepoint.com.
2
Click Active Sites in the left navigation.
3
Click Create site and choose Communication site.
4
Enter a site name, description, and your preferred settings, then click Finish.
5
Open the site's homepage and click Site contents in the left navigation.
6
Click New > Document Library, name it Evidence, and click Create.
7
Repeat the previous step to create a second library named Usage.
8
Both libraries will now appear in your site contents, ready for document uploads and management.
05
Usage Data

Export the M365 agent usage report

Download the Users & Agents CSV from the M365 admin center and upload it to SharePoint.

⏱ ~3 min
2
Scroll down to the Usage Details section and select Users & Agents.
Export Users & Agents usage report
3
Click Export and save the file as Agents_Users_Usage.csv.
4
Upload the saved file to the SharePoint Online Usage library created in the previous stage.
06
Dataflow

Configure the usage data import

Point the Power Platform dataflow at your SharePoint site so it can ingest the usage CSV.

⏱ ~5 min
2
In the left navigation click Dataflows (or More > Dataflows).
Edit dataflow in Power Apps
3
Click Edit to configure parameters.
4
Configure the SPO Site as https://<tenant>.sharepoint.com/sites/<site_name>.
Configure SharePoint site URL parameter
5
Leave the CSV file name unchanged if you saved your usage file as Agents_Users_Usage.csv.
6
Configure the folder path as https://<tenant>.sharepoint.com/sites/<site_name>/Usage.
Configure folder path parameter
7
Click Query > Configure connection.
8
Authenticate (Connect) and confirm that data is loading.
Authenticate the SharePoint connection
9
Click Next, then Publish.
Stage 4

Configure & publish the agents

Three Copilot Studio agents power AI Agent Central - each serves a distinct audience and purpose.

07
Copilot Studio

Open the agents in your environment

Navigate to Copilot Studio and confirm the solution agents are present.

⏱ ~2 min
2
Switch to the appropriate environment using the top bar.
3
Click Agents in the left side navigation. You should see the solution agents.
Three solution agents listed in Copilot Studio
◆
Autonomous

AI Agent Assessment

Autonomous agent that assesses Agent artifacts in Dataverse and SPO files against the EU AI Act and the US NIST framework. Triggered when a user initiates an AI Agent Assessment.

★
Autonomous

AI Agent Task Note

Autonomous agent that analyzes a specific task and provides tailored advice on how to proceed - recommended next steps, owners to involve, and supporting artifacts to gather.

●
AI CoE Team

AI Agent Central

Copilot Chat or Teams agent that helps AI CoE Team members discuss and evaluate information inside the AI Agent Central app.

08
Agent · Assessment

AI Agent Assessment

Point the assessment agent at your Evidence SharePoint library and publish.

⏱ ~3 min
1
Open the AI Agent Assessment agent and click Knowledge.
2
Click the Evidence options menu, choose Delete, and confirm.
Edit Evidence knowledge source on the assessment agent
3
Click + Add Knowledge.
Add Knowledge button
4
Choose SharePoint, browse to the Evidence library, and click Confirm selection.
Select the SharePoint Evidence library
5
Click Add to agent.
6
Click Publish in the top right corner.
Publish the agent
7
Close the agent.
09
Agent · AI Agent Central

AI Agent Central Agent

Connect the Evidence library, expose the agent through Microsoft 365 Copilot and Teams, and publish.

⏱ ~5 min
1
Open the AI Agent Central agent.
2
Click + Add Knowledge.
3
Choose SharePoint, browse the Evidence library, and click Confirm selection.
4
Click Add to agent.
5
Click Channels in the top navigation and click the Microsoft 365 Copilot and Microsoft Teams tile.
6
On the right-hand side click Add channel.
7
Edit details and configure Availability options.
Configure AI Agent Central channel details and availability
8
Share the agent with end users.
9
Publish the agent.
Stage 5

Deploy the custom agent connector

Required for the Agent 365 integration - register an app in Entra ID, wire it to the custom connector, then let the flows pull your agent estate into Dataverse.

When do I need this? Only if you want the Microsoft Agent 365 integration - the tab that discovers agents already running in your tenant. Skip this stage if you are registering agents manually.
10
Entra ID

Create the app registration

Register an application that will authenticate against Microsoft Graph on behalf of the connector.

⏱ ~6 min
1
Go to the Microsoft Entra admin center and open App registrations > New registration.
2
Give it a recognizable name - for example AI Agent Central A365 - choose Accounts in this organizational directory only, and click Register.
3
On the Overview page, copy and store the Application (client) ID and the Directory (tenant) ID - you will paste both into the custom connector.
Application (client) ID - identifies the app
Directory (tenant) ID - identifies your tenant
App registration overview showing client ID and tenant ID
4
Open API permissions and add the Microsoft Graph permissions the integration needs, then click Grant admin consent so the status turns green.
Agent.Read.All - Application - read all agents
Application.Read.All - Application - read all applications
User.Read - Delegated - sign in and read user profile
Microsoft Graph API permissions granted for the app registration
5
Go to Certificates & secrets > New client secret, add a description and expiry, then copy the secret Value immediately - it is only shown once.
Important: Copy the Value, not the Secret ID. Store it somewhere safe (Key Vault or your password manager) and set a calendar reminder before it expires.
Creating a client secret and copying its value
🏢

Tenant ID

Directory (tenant) ID from the app Overview page.

🆔

Client ID

Application (client) ID from the app Overview page.

🔑

Client Secret

The secret Value - shown only once at creation.

11
Custom connector

Configure & authenticate the custom connector

Paste the credentials into the connector, then feed its redirect URL back into the app registration.

⏱ ~8 min
1
Go to make.powerapps.com, confirm the correct environment, and open More > Discover all > Custom connectors.
2
Open the AI Agent Central A365 connector that came with the solution and click Edit.
Editing the AI Agent Central A365 custom connector
3
Go to the Security tab and click Edit. Confirm OAuth 2.0 is the authentication type and Azure Active Directory the identity provider, then fill in the fields with the values you captured.
Client ID - Application (client) ID
Client secret - the secret Value
Tenant ID - Directory (tenant) ID
Resource URL - https://graph.microsoft.com
OAuth 2.0 security settings on the custom connector
4
Click Update connector to save. A Redirect URL now appears at the bottom of the Security tab - copy it.
Tip: It looks like https://global.consent.azure-apim.net/redirect/... and is unique to this connector.
Copying the connector redirect URL
5
Back in the Entra admin center, open your app registration > Authentication > Add a platform > Web, paste the redirect URL as a Redirect URI, and click Save.
Adding the connector redirect URL as a Web redirect URI
6
Return to the connector, open the Test tab, and click New connection. Sign in and consent when prompted - this authenticates the connector.
7
Run a test operation and confirm you get a 200 response before moving on.
If it fails: a redirect-URI mismatch means the URL was not saved correctly in Entra; a 401 or 403 usually means admin consent was never granted on the API permissions.
12
Power Automate

Check the agent collection flows

Two cloud flows populate Dataverse with your Agent 365 estate - make sure both are on and connected.

⏱ ~5 min
1
Go to make.powerautomate.com and confirm the correct environment is selected.
2
Open Solutions > AI Agents Governance Hub > Cloud flows and locate the two collection flows.
Collect agents - pulls the agent inventory from Agent 365
Collect agent details - enriches each agent with its full profile
3
Open each flow and check the connections. Any connection showing a warning must be re-pointed at the custom connector connection you just authenticated.
4
Make sure both flows are turned on, then run Collect agents manually and confirm it succeeds.
5
Run Collect agent details and confirm success, then open the Agent 365 tab in AI Agent Central - your agents should now be listed.
Tip: Leave both flows on a recurring schedule so the catalog keeps pace with your tenant.
Stage 6

First steps inside the app

Configure your organization's foundation - business units, goals, and KPIs - before onboarding teams.

13
In-App Setup

Business Units, Goals, and KPIs

Lay down the organizational structure and the AI outcomes you'll measure against.

⏱ ~10 min
1
Go to Settings > Business Units and add your organization's business units (Communications, Strategy, Support, Engineering, etc.).
2
Go to AI Goals and add your strategic goals - for example, increasing annual revenue, retaining customers, or improving operational efficiency.
3
For each goal, add one or more related KPIs covering revenue growth, profitability, and other business metrics that AI agents should influence.
Tie every agent to at least one goal so leadership rollups stay accurate
Use RAG status on KPIs to surface delivery health at a glance
Revisit goals quarterly to keep the portfolio aligned with strategy
Deployment Recap

What you've stood up

By following this guide you've deployed a complete enterprise AI governance platform - ready to register, assess, and govern agents at scale.

1
Power Platform environment
2
Code apps shared
2
SharePoint libraries
3
Copilot Studio agents

Deployment complete - now bring your teams on board.

Invite business owners to register their agents, point assessors at the readiness framework, and start measuring AI outcomes against your goals.

Ready-to-use Word templates

Document templates for the 5 readiness pillars.

One template per pillar, mapped to the Microsoft Agent Readiness Framework - fill them in, upload them as evidence, and let the assessment agent do the rest.

↓ Download all 5 templates
Use them your way

Adopt, adapt, or replace - they are yours to shape.

Every template is a structured Word document that captures the questions an assessor would ask for that pillar. Upload them as-is to the Evidence library to get started in minutes, or treat them as a reference outline while you keep your existing artifacts.

Either way, the AI Agent Assessment agent can read evidence stored in SharePoint and grade it against the EU AI Act and US NIST AI RMF.

◆

Aligned to the Microsoft framework

Every section maps directly to a Microsoft Agent Readiness Framework pillar.

▲

Plug into the Evidence library

Drop the filled-in docs into the SharePoint Evidence library and the assessment agent picks them up automatically.

●

Editable in Word or M365

Standard .docx format - no proprietary tooling required. Co-author with your CoE in Microsoft 365.

The 5 templates

One template per pillar

Each document is organized into clearly-labeled sections so an owner can fill it in once and produce a complete pillar evidence pack.

01
Strategy

Pillar 1 - Business AI Strategy

Capture your AI vision, executive sponsorship, strategic roadmap, and how the program is funded - the foundation that ties every agent back to business outcomes.

↓ Get template

Sections

  • AI Vision & Executive Sponsorship
  • Strategic Roadmap & KPI Alignment
  • Investment & Funding Model

Captured fields

AI Vision Statement
Executive Sponsors
Center of Excellence
Communication Cadence
Top Business Priorities
KPIs & Metrics
Roadmap Milestones
Funding Approach
Business Case Process
ROI Measurement
02
Process

Pillar 2 - Business Process Mapping

Inventory the workflows your agents will touch, document them in detail, and define the success metrics that confirm the agent is performing as designed.

↓ Get template

Sections

  • Workflow Inventory
  • Detailed Workflow Documentation
  • Success Metrics

Captured fields

Workflow Name
Process Owner
Trigger / Start Event
End State / Output
Process Steps
Dependencies
Business Rules
SLA / Timing
Compliance Requirements
Success Metrics
03
Platform

Pillar 3 - Technology & Data

Document the agent platform, architecture, integration landscape, and the data foundation that the agent depends on - including standards, quality, and governance.

↓ Get template

Sections

  • Technology Architecture Assessment
  • Data Readiness

Captured fields

AI / Agent Platforms
Architecture Approach
Cloud Foundation
Integration Landscape
Integration Gaps
Data Sources
Data Standards
Data Fabric / Lakehouse
Data Quality Issues
Data Governance
04
People

Pillar 4 - Organizational Readiness & Culture

Define leadership accountability, the talent and role design that surrounds the agent, and the training plan that prepares your people for human-and-agent collaboration.

↓ Get template

Sections

  • Leadership & Sponsorship
  • Talent Strategy & Role Design
  • Training & Upskilling Plan

Captured fields

Accountable Leaders
Communication Plan
Sponsorship Metrics
Escalation Path
Future Roles Required
Human / Agent Division
Capability Gaps
Talent Pool Development
Training Matrix
Upskilling Programs
05
Governed

Pillar 5 - Security & Governance

Set the governance model, define the four agent autonomy and oversight tiers, and document the Responsible AI safeguards that keep agents safe, compliant, and trusted.

↓ Get template

Sections

  • Governance Model
  • Agent Autonomy & Oversight Tiers
  • Responsible AI Safeguards

Captured fields

Governance Body / CoE
IT & Business Alignment
Agent Registry
Tier 1 - Assistive
Tier 2 - Supervised
Tier 3 - Operational
Tier 4 - Autonomous
Responsible AI Controls
EU AI Act Alignment
NIST AI RMF Alignment
Two ways to use them

Bring your own, or start with ours

The templates are a starting point - never a requirement. Use whichever path matches the maturity of your AI program.

◆

Start with the templates

Best for organizations standing up agent governance for the first time, or teams that want a structured, framework-aligned baseline.

  • Download the ZIP and unpack the 5 .docx files
  • Fill in each pillar with your organization's information
  • Upload completed docs to the SharePoint Evidence library
  • Run the AI Agent Assessment agent
●

Use your own artifacts

Already have strategy docs, process maps, architecture diagrams, or governance policies? Keep using them - just place them in the Evidence library.

  • Upload your existing PDFs, Word docs, or wiki exports
  • Group them by pillar in the Evidence library folders
  • Reference the templates above as a coverage checklist
  • Mix and match - some pillars yours, others from the templates

Download the full pillar template pack

A single ZIP containing all five Word templates - ready to fill in and upload to your Evidence library.

↓ Download Pillar templates.zip
5 .docx files · Editable in Microsoft Word & M365