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What changes when an AI system can act?
The shift from assistant to agent is not only a model change. It redesigns authority, exception handling and final accountability across the operating system.
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01Perspective · 21 Jul 2026From copilot to agent: the responsibility system enterprises must redesignAiTOM Research02Method · 18 Jul 2026Five practical layers of an AI governance control planeOperating Systems03Tool · 15 Jul 2026AI opportunity mapping: from workflow pain to a testable business caseTransformation Office04Case note · 10 Jul 2026From one workflow to an enterprise capability: a path for scaling agentsField PracticeMOST POPULAR
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Perspective
From copilot to agent: the responsibility system enterprises must redesign
When agents can act, enterprises must explicitly design decision rights, exceptions, stop conditions and final accountability.
Read the article Related solutionMethod
Five practical layers of an AI governance control plane
Move from policy language to an executable architecture for permissions, approval, monitoring, evidence and improvement.
Read the article Related solutionTool
AI opportunity mapping: from workflow pain to a testable business case
Prioritize AI opportunities by outcome, feasibility, risk and learning value—not technical novelty alone.
Read the article Related solutionCase note
From one workflow to an enterprise capability: a path for scaling agents
Validate controls and outcomes in one bounded workflow before expanding shared platforms and operating capabilities.
Read the article Related solution03
Field resources
The four layers of an Agentic Operating Model
A field introduction to Human Authority, the Control Plane, Evidence Layer and Operating Domains.
Explore the resourceMap AI opportunities and governance boundaries
Use a 90-minute session to align outcomes, authority, risk, data and the first experiment boundary.
Explore the resourceEnterprise agent readiness scorecard
Create a shared readiness baseline across operations, data, controls, evidence and capability.
Explore the resourceWORK WITH AiTOM
Bring one question. Leave with a clearer operating decision.
Tell us which workflow, governance boundary or capability your team is working through.
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