Understanding AI Risk: What Every Manager Needs to Know

A clear-headed framework for identifying, assessing, and communicating AI-related risks — from data privacy and bias to vendor lock-in and reputational exposure. Includes decision templates and board-ready language.

Coming soon
72 pagesExpected release 2026-05-15Last reviewed 2026-02-08
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Planned coverage

  1. 01Strategic context and executive decisions that matter
  2. 02Value creation opportunities and operating model implications
  3. 03Risk, compliance, and governance frameworks
  4. 04Vendor and capability evaluation for leaders
  5. 05Implementation roadmap with milestones and reporting

Who this guide is for

  • —Managers and leaders making AI strategy decisions
  • —Decision-makers accountable for risk, adoption, and ROI

What you’ll be able to do

  • —Set strategy and guardrails for responsible AI adoption
  • —Evaluate options, risks, and tradeoffs using a structured framework
  • —Lead phased implementation with clear governance and metrics

This guide is in development and currently available as a coming-soon preview. Join the AI Primer Briefing to be notified at launch.

Get launch updates

This guide is in development. Join the AI Primer Briefing to hear when it goes live.