What controls must exist before an agent acts?

AI agent governance and operational control

Translate AI principles into explicit ownership, authority limits, review thresholds, evidence, and incident routines.

  • A clear boundary between process improvement, automation, and an AI agent
  • A baseline that makes value verifiable
  • Explicit human thresholds, exception paths, and stop criteria
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Decision tools

Move from research to an actionable decision

Find the first workflow worth transformingWhat should you change — and what should you prove first?AI agent governance and operational controlWhat controls must exist before an agent acts?Measure AI agent impact in operating termsIs the agent creating measurable operating capacity?Build vs buy an AI agent for business operationsWhich delivery model fits this workflow?AI agent pricing, implementation budget, and ROI modelWhat will this agent really cost—and what must it return?
Kaza method

Move from an AI idea to an operating decision

01 · Frame

Describe the trigger, work, expected result, and accountable owner.

02 · Measure

Establish current capacity, service, quality, risk, and cost.

03 · Decide

Choose a bounded pilot, define its controls, or stop before further investment.

Personalized recommendation

Is this workflow ready for an AI agent?

Share a few operating inputs and immediately receive a personalized two-page recommendation, with no contact form.

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Guides to go deeper

Editorial illustration for “Responsible AI Governance in Canada: A Pragmatic Framework for Executives”
Governance and trust · August 31, 2026

Responsible AI Governance in Canada: A Pragmatic Framework for Executives

Implement responsible AI governance in Canada with a practical framework for executives. Understand scope, reusable practices, and human review for AI agents and operational capacity.

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Editorial illustration for “AI Agent Governance: A Workflow-Specific Checklist for Delivery Model Selection”
Governance and trust · August 29, 2026

AI Agent Governance: A Workflow-Specific Checklist for Delivery Model Selection

Navigate AI agent deployment with a practical governance checklist. Evaluate internal build, platform configuration, or managed delivery based on your workflow's unique requirements for access, oversight, and.

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Editorial illustration for “Tiering Enterprise AI Use Cases: A Pragmatic Framework for Governance and Trust”
Governance and trust · August 27, 2026

Tiering Enterprise AI Use Cases: A Pragmatic Framework for Governance and Trust

Implement a pragmatic framework for tiering enterprise AI use cases based on risk. Understand how to apply controls, ensure human review, and maintain trust as you scale AI-driven operational capacity.

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Frequently asked questions

Who is this assessment for?

Operations, transformation, IT, and governance leaders evaluating a real workflow.

Is this a compliance audit?

No. It is an operating decision framework and does not replace legal, security, or compliance advice.

What is inside the toolkit?

An immediate on-page decision, then a personalized two-page executive brief with proof plan, measures, and stop rules.

What happens after download?

No identity is requested and your answers are not stored.