"Do you or your team use a technology playbook? If so, what's in it? There's a good chance your playbook is becoming rapidly outdated. That's the challenge posed by Thomas Erl, a prolific tech author and educator, in a recent interview with Matt Strippelhoff, partner and CEO at Red Hawk Technologies. Erl calls for fresh playbook revisions and tried-and-true practices to help AI proponents and developers vet their ideas, run safe pilots, and prove the return on investment of their projects."
"Start with a meaningful problem: Identify where AI will truly make a difference, versus AI for AI's sake. "Some companies are looking for a way to apply AI, but they haven't identified the problem they want to solve," said Strippelhoff. "So, they have a solution looking for a problem. Traditional strategic planning is critical to make sure you're identifying a meaningful problem.""
"Playbooks, whether formal or informal, detailed or simple checklists, ensure everyone works from the same page strategically for consistent operations and deployments, with strong security policies. However, in today's fast-moving digital world, if you or your team is working with AI, you may need to revisit those guidelines. A playbook for the 2026 enterprise has several new requirements, but it also builds on previous IT guidelines."
Technology playbooks require updates to address AI-specific risks, validation, and value demonstration. Playbooks should prioritize meaningful problems where AI can deliver measurable benefit rather than adopting AI for its own sake. Teams must define desired outcomes up front and build business cases to justify AI initiatives. Playbooks should include processes to vet ideas, run controlled pilots, ensure data and training quality, maintain security, and measure return on investment. Updated playbooks combine traditional IT governance with new AI requirements to promote consistent operations, safer deployments, and demonstrable business impact across the enterprise.
Read at ZDNET
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