AI & Cloud Infrastructure

Agent 365: Unified Control Plane for AI Agent Management - Microsoft Ignite 2025

By Technspire Team
November 28, 2025
37148 views

Agent Discovery and Inventory (2-3 weeks)

  • • Scan Azure, Microsoft 365, on-premises for existing agents
  • • Interview teams to identify undocumented agents (shadow AI)
  • • Catalog agent metadata: owner, purpose, data accessed, tools used, business value
  • • Assess security posture: authentication methods, credential management, access controls
  • • Identify high-priority agents for migration to Agent 365 (production-critical, high-risk, high-value)
2

Agent 365 Foundation Setup (3-4 weeks)

  • • Enable Agent 365 in Microsoft 365 tenant
  • • Configure Entra integration for agent identity management
  • • Set up Agent 365 registry and discovery services
  • • Integrate with Microsoft Defender for security monitoring
  • • Connect Microsoft Purview for data governance enforcement
  • • Configure Azure Monitor for telemetry and observability
  • • Define agent governance policies (approval workflows, mandatory registration, security baselines)
3

Pilot Agent Migration (4-6 weeks)

  • • Select 2-3 existing agents for migration to Agent 365
  • • Create agent blueprints (identity, permissions, integration requirements)
  • • Refactor agents to use Agent 365 SDK (replace custom Microsoft 365 integration)
  • • Implement telemetry instrumentation (decision logging, performance tracking)
  • • Test in staging environment (validate functionality, security, observability)
  • • Deploy to production with monitoring (validate no regression in functionality)
4

Developer Enablement (4-6 weeks, parallel with #3)

  • • Train development teams on Microsoft Agent Framework and Agent 365 SDK
  • • Create agent templates and reusable components for common scenarios
  • • Establish CI/CD pipelines for agent development (build, test, deploy)
  • • Document best practices (prompt engineering, error handling, testing strategies)
  • • Set up sandbox environments for agent experimentation
  • • Define agent approval and review process (security, compliance, quality gates)
5

Scale Agent Fleet Migration (8-12 weeks)

  • • Migrate remaining agents to Agent 365 in prioritized waves
  • • Decommission agents that don't meet governance standards (or remediate)
  • • Consolidate redundant agents (identify and merge overlapping functionality)
  • • Implement multi-agent orchestration for complex workflows
  • • Expand observability dashboards for leadership visibility
  • • Conduct security and compliance audits of agent ecosystem
6

Continuous Improvement and Expansion (Ongoing)

  • • Monitor agent performance weekly (success rates, errors, user satisfaction)
  • • Optimize high-cost agents (switch models, improve prompts, cache results)
  • • Expand agent capabilities based on user feedback and business needs
  • • Review security alerts from Defender (investigate anomalies, refine policies)
  • • Measure ROI (time saved, processes automated, revenue impact)
  • • Keep Agent 365 SDK and frameworks updated (leverage new features)

Why This Matters for Swedish Organizations

Sweden's organizations are leaders in AI adoption—but without governance, agent sprawl creates risk. Agent 365 addresses critical Swedish concerns:

Key Takeaways from BRK305

The future of enterprise AI is multi-agent ecosystems—dozens of specialized agents collaborating across business processes. Agent 365 transforms this vision from governance nightmare into managed reality. By providing unified discovery, security, observability, and integration, Agent 365 enables organizations to scale AI agents confidently, knowing every agent is governed, monitored, and compliant. For Swedish organizations navigating GDPR, NIS2, and AI Act requirements while innovating with AI, Agent 365 is the foundation for responsible, scalable agent deployment.

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