https://catalogartifact.azureedge.net/publicartifacts/sulava_oy_3132951.agent-365-governance-model-design-344bbb60-c8ff-4675-875c-a12f0a2efba7/image3_Sulava216.png

Microsoft Agent 365 Governance Model Design

Sulava Oy

Design an enterprise-grade governance model for AI agents leveraging Microsoft Agent 365, Entra Agent ID, Defender, and Purview capabilities.

As organizations scale from AI experimentation to enterprise-wide agent deployment, uncontrolled agent sprawl becomes a critical risk. Without a structured governance framework, agents accumulate without clear ownership, access policies, or compliance controls — creating security blind spots and regulatory exposure. Agent 365 Governance Model Design is a structured assessment engagement that delivers a tailored, enterprise-ready governance framework for AI agents operating under the Microsoft Agent 365 control plane. The service is built on Microsoft's best practices, including the Cloud Adoption Framework for AI agents, the Agent Governance Whitepaper, and the Microsoft 365 Agents Deployment Checklist. Who benefits from this service: IT administrators, security teams, compliance officers, and business leaders in organizations that are deploying or planning to deploy AI agents across Microsoft 365, Copilot Studio, Azure AI Foundry, or third-party platforms. This service is ideal as a follow-up to the AI Agent Governance Model Assessment, or as a standalone engagement for organizations that already have a clear understanding of their current agent landscape. Customer challenges this service addresses: Organizations lack visibility into which agents are active, who owns them, and what data they access. Agent onboarding happens ad hoc, without standardized identity management or security policy enforcement. Compliance teams cannot audit agent activity, and lifecycle management — including decommissioning inactive or ownerless agents — is manual or nonexistent. Service deliverables and outcomes:

Agent Landscape Assessment — inventory of current and planned agents across Microsoft and third-party platforms, mapped against the Agent 365 Registry model (abbreviated if completed in the preceding Assessment engagement) Governance Framework Document — a comprehensive governance model covering five pillars:

Registry & Inventory — agent cataloging, classification, and ownership mapping using Agent 365 Registry Access Control — Entra Agent ID configuration, conditional access policies, least-privilege enforcement, and integration management controlling which users, data, tools, and MCP servers agents can access Observability — telemetry architecture, performance and quality dashboards, alerting rules, and agent ecosystem mapping through Agent 365 Analytics and Mapping Security — Defender integration for agent threat protection, content safety controls, adversarial attack detection, and incident response procedures Data Compliance — Purview integration for DLP policies, data retention, audit logging, and content safety controls for detecting unethical agent interactions

Agent Lifecycle Policy Design — policies for onboarding through IT-controlled workflows, publishing, sharing with specific users and groups, expiration, ownership reassignment, quarantine, and decommissioning of agents, including policy template recommendations aligned with Agent 365 lifecycle management capabilities Role-Based Oversight Model — definition of governance roles and responsibilities across IT, security, compliance, and business leadership, aligned with Microsoft 365 Admin Center, Power Platform Admin Center, and Agent 365 role-specific oversight capabilities for security leaders and business stakeholders Implementation Roadmap — phased plan for deploying the governance model, prioritized by risk and organizational readiness, with 30/60/90-day milestones and a clear path to Agent 365 technical deployment

Engagement structure: This is a fixed-scope assessment delivered over 3–4 weeks, consisting of stakeholder workshops, technical environment review, and structured documentation delivery. The engagement follows a proven methodology combining discovery interviews, Microsoft best-practice alignment, and gap analysis.

Pricing: Fixed price. Final pricing depends on organizational size and agent deployment complexity.

Contact us for a tailored proposal.

At a glance

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