Artificial intelligence is evolving fast, yet many organizations struggle to turn their experiments into lasting business results. Recognizing this challenge, Info-Tech Research Group has launched the AI Playbook, a new 12-step framework designed to help IT leaders systematically scale AI with proper governance and measurable outcomes.
Why Organizations Struggle to Scale AI Effectively
Despite growing interest, most companies remain unable to make AI a repeatable enterprise capability. Info-Tech Research Group’s data reveals several persistent barriers, including:
- Fragmented strategies and weak governance that hinder alignment and support across teams.
- Lack of clear ownership and measurable outcomes, leading to disjointed AI projects.
- Skill gaps that increase dependency on vendors and slow in-house development.
- Poor operational foundations and minimal architectural discipline that create chaos when scaling beyond small pilots.
These obstacles, often described as “pilot purgatory,” prevent AI investments from delivering sustainable value.
Inside Info-Tech’s 12-Step AI Playbook Framework
The new AI Playbook offers a concrete, year-long approach for organizations aiming to achieve AI excellence. The framework includes:
- A structured 12-step methodology with a monthly focus, allowing leaders to track improvement across the full AI function.
- A clear prioritization and delegation model to assign accountability for each step.
- Integration with Info-Tech’s Custom Key Initiative Plan (CKIP) for balancing big projects with steady improvements.
- Access to research resources for actionable guidance at every stage.
By following this framework, organizations can avoid trying to mature everything at once, instead building sustainable processes step by step.
How the Playbook Drives Sustainable AI Success
According to Info-Tech, successful AI is not about chasing the latest models, but about treating AI as an operational capability. The Playbook helps leaders:
- Strengthen governance and ensure proper oversight across departments.
- Improve execution discipline to avoid scattered or stalled projects.
- Reduce risk associated with security, ethics, and compliance as AI reaches deeper into business operations.
- Demonstrate measurable value and continuous improvement year after year.
This approach positions IT leaders to move beyond experimentation and turn AI into a true driver of business impact.
In conclusion, Info-Tech’s AI Playbook offers a pragmatic roadmap for overcoming the pitfalls of fragmented AI efforts. With its clear structure and actionable steps, organizations now have the tools to scale AI, improve governance, and realize long-term value in a rapidly changing digital landscape.
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