Agentic governance
AI agent approval gates
Cortez Lake
Place approval before a consequential action, with enough context for a person to make the decision.
Insights
Start with the decision in front of you: where to invest, what to build, or how to control a system already in use. These articles connect workflow design, engineering, and governance to the choices your team needs to make.
Agentic governance
Cortez Lake
Place approval before a consequential action, with enough context for a person to make the decision.
AI value realization
Cortez Lake
Make production a separate decision supported by workflow evidence, release criteria, and a named owner.
Enterprise AI governance
Cortez Lake
Connect policy to the system’s permissions, review steps, records, and operating owners.
Implementation planning
Cortez Lake
Use a shared checklist to turn an AI use case into a bounded implementation plan.
Deployment strategy
Cortez Lake
Compare deployment options by their controls, total operating work, and fit with your team.
Model implementation
Cortez Lake
Specify the software, evaluation, and handover you need around the model service.
Frontier AI adoption
Cortez Lake
A model investment needs a defined task, an operating owner, and a way to measure the result.
Platform ownership
Cortez Lake
Decide which security capabilities you need to control, and what your team is prepared to operate.
Category clarity
Cortez Lake
Evaluate an AI development partner by how it defines, builds, tests, and hands over the system.
Workflow design
Cortez Lake
Add AI when it improves a defined task and the team can assess the result.
Scoping decisions
Cortez Lake
Match the build to the user and the problem before committing to a new product.
Ownership and trust
Cortez Lake
Consider customer-owned deployment when a specific control requirement justifies the operating responsibility.