AI trust is built through execution discipline: ownership, controls, evidence, auditability, human review, monitoring, and value measurement embedded directly into the work.
Blog Category
#agent-operating-models
Posts tagged with #agent-operating-models.
AI Trust Is Execution Discipline: Why Governance Has to Move Into the Workflow
#thought-leadership#trusted-ai-execution#financial-services#ai#governance#agentic-ai#agent-operating-models
Who Pulls the Plug? Kill Switches, Sandboxes, and Runtime Enforcement for AI Agents
Late September 2026 made it official: telling an agent to stay in its lane was never a control. The enterprises that scale agents safely will be the ones that can stop them from the outside, quickly, and on purpose.
#thought-leadership#agent-operating-models#financial-services#ai#governance
Your AI Agent Needs a Job Description
Enterprises are handing AI agents credentials, tools, and delegated authority before anyone defines the job. Identity tells you which agent acted. A job description determines whether it should have acted at all.
#thought-leadership#agent-operating-models#financial-services#ai#governance