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How to Manage Microsoft Copilot Agents Without the Chaos #ai #copilot #microsoft365 #powerplatform
Are you ready for the explosion of AI agents within your organization? As Co-pilot agents become as common as mobile apps, the real challenge isn't just building them, it's managing their entire lifecycle to avoid technical debt and shadow systems.
In this video, we explore why treating every agent like a product rather than just a prompt is the key to successful AI deployment in Microsoft 365 and the Power Platform. When agents lack clear ownership, organizations face duplicated logic, inconsistent answers, and automation processes that fail security audits. We break down why you need an Agent Product Owner to oversee these mini-apps and ensure they align with your business goals.
To help you manage this transition, we share a five-step checklist for every agent product owner:
🚀 Intake: Define the business outcome and the specific boundaries of what the agent can and cannot do.
🔍 Testing: Validate answers, edge cases, and failure modes to ensure reliability before deployment.
🛡️ Access: Implement least-privilege protocols and maintain clear data sources for every user.
📈 Monitoring: Track usage and accuracy signals to identify where people might be overriding the AI.
📅 Deprecation: Set a review or end date to retire agents before they become invisible technical debt.
If you are accountable for M365, Power Platform, or AI outcomes, this is your new operating model. Agents are mini-apps, and mini-apps need owners. Start today by picking your top three agents and assigning a product owner, a review cadence, and a retirement plan. This is how you scale Co-pilot without scaling chaos.
Subscribe for more insights on mastering Microsoft 365 and AI governance to stay ahead of the curve.
#AI #Copilot #Microsoft365 #PowerPlatform #AIGovernance
Видео How to Manage Microsoft Copilot Agents Without the Chaos #ai #copilot #microsoft365 #powerplatform канала M365 FM Podcast - with Mirko Peters
In this video, we explore why treating every agent like a product rather than just a prompt is the key to successful AI deployment in Microsoft 365 and the Power Platform. When agents lack clear ownership, organizations face duplicated logic, inconsistent answers, and automation processes that fail security audits. We break down why you need an Agent Product Owner to oversee these mini-apps and ensure they align with your business goals.
To help you manage this transition, we share a five-step checklist for every agent product owner:
🚀 Intake: Define the business outcome and the specific boundaries of what the agent can and cannot do.
🔍 Testing: Validate answers, edge cases, and failure modes to ensure reliability before deployment.
🛡️ Access: Implement least-privilege protocols and maintain clear data sources for every user.
📈 Monitoring: Track usage and accuracy signals to identify where people might be overriding the AI.
📅 Deprecation: Set a review or end date to retire agents before they become invisible technical debt.
If you are accountable for M365, Power Platform, or AI outcomes, this is your new operating model. Agents are mini-apps, and mini-apps need owners. Start today by picking your top three agents and assigning a product owner, a review cadence, and a retirement plan. This is how you scale Co-pilot without scaling chaos.
Subscribe for more insights on mastering Microsoft 365 and AI governance to stay ahead of the curve.
#AI #Copilot #Microsoft365 #PowerPlatform #AIGovernance
Видео How to Manage Microsoft Copilot Agents Without the Chaos #ai #copilot #microsoft365 #powerplatform канала M365 FM Podcast - with Mirko Peters
Microsoft Copilot AI Agents AI Governance Microsoft 365 Power Platform Copilot Agents AI Product Owner AI Lifecycle Management Shadow AI Enterprise AI AI Automation Copilot for Work AI Operating Model Technical Debt IT Management Workflow Optimization M365 Governance Artificial Intelligence Business Process Automation AI Strategy
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12 апреля 2026 г. 6:44:14
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