AI-Driven IT Governance and Strategy is a practical executive playbook for governing enterprise technology, artificial intelligence, risk, value, and digital decision-making.
AI has changed the speed of enterprise decisions. Reports can be generated faster, dashboards can be summarized faster, workflows can be automated faster, and recommendations can be produced faster. But speed without governance can also amplify weak data, unclear ownership, vendor risk, cybersecurity exposure, unmeasured benefits, and unaccountable decisions.
This book helps leaders build a practical governance operating model for the AI era. It explains how to move beyond traditional IT governance and create decision rights, evidence standards, portfolio discipline, architecture control, cybersecurity visibility, data trust, vendor accountability, responsible AI review, and board-level reporting.
Written for executives, CIOs, CTOs, CISOs, governance officers, enterprise architects, PMOs, risk leaders, consultants, and public-sector modernization teams, this book provides clear frameworks, mini-cases, leadership questions, implementation playbooks, and templates that can be adapted to real organizations.
