Make the estate visible
Document use cases, models, data dependencies and lifecycle status.
Establish what AI is being used, its purpose and the people accountable for it.
A bounded use case with its owner, inputs and acceptance criteria.
Let's connect ↗Build a practical framework for understanding, reviewing and operating your AI estate. Connect policies to the decisions people make throughout the AI lifecycle.
Address model oversight alongside agent permissions, tool access and runtime accountability. Connect use-case inventory, evaluations and approvals with evidence from the operating workflow.
Governance gets harder when AI adoption spreads faster than visibility. A useful starting point is an inventory that connects each use case to a business owner, its data sources and the actions it may influence. Controls can then be designed around actual exposure.
Governance gets harder when AI adoption spreads faster than visibility. A useful starting point is an inventory that connects each use case to a business owner, its data sources and the actions it may influence. Controls can then be designed around actual exposure.
Establish what AI is being used, its purpose and the people accountable for it.
Apply review effort according to the use case, data and potential business impact.
Define the evidence, monitoring and change process needed after a use case goes live.
Governance gets harder when AI adoption spreads faster than visibility. A useful starting point is an inventory that connects each use case to a business owner, its data sources and the actions it may influence. Controls can then be designed around actual exposure.
Document use cases, models, data dependencies and lifecycle status.
Establish what AI is being used, its purpose and the people accountable for it.
A bounded use case with its owner, inputs and acceptance criteria.
Translate principles into approval steps, evidence and responsible owners.
Apply review effort according to the use case, data and potential business impact.
A working path with the required context, handoffs and review points.
Review changes in data, model behavior and business use with a defined escalation path.
Define the evidence, monitoring and change process needed after a use case goes live.
A reviewed operating outcome and an explicit improvement backlog.
Pragma Edge Holon is a natural-language interface for enterprise operations. Connect a business request with enterprise context, a proposed action path and governed execution across the systems involved.
Read more ↗EXPLOREDesign enterprise agents around specific responsibilities, approved tools and clear escalation. Connect useful assistance to the business systems it needs.
Read more ↗EXPLOREA practical operating framework for introducing enterprise AI with explicit responsibilities and measurable outcomes.
Read more ↗Bring your business goal. Let’s shape a practical next step.