Every company is talking about AI. The winners are the ones operationalizing it.
Leading businesses understand that to move past pilots and experiments they need to implement systems that make AI an integrated part of everyday business. These organizations understand a truth most are just discovering: AI doesn’t fail because of the technology, it fails because of missing context.
To perform, AI needs to understand your business the way your people do. It must know who does what, which processes matter most, what rules guide decisions, and what success looks like. Without that context, even the best AI models will misfire.
That’s why leading teams are embracing AI Operations, the discipline of defining, building, governing, and improving AI systems with the same rigor used in any other enterprise process.
At the center of this shift is context sourcing. Companies are realizing that context isn’t just data, documentation, or metadata, it’s the tribal knowledge and connective tissue of the organization. Capturing and structuring it through Context Engineering turns fragmented knowledge into fuel for AI.
The most advanced organizations are also involving their teams early and often, and not just their data scientists. They’re bringing operations, finance, marketing, and customer service into structured workshops to identify where AI can actually solve problems. This shared exploration builds a common language for AI and an agreed upon AI roadmap that has buy-in across the business.
When everyone speaks the same language about context, when process owners, technologists, and leaders can describe the same problem the same way, innovation accelerates. Decisions are clearer. Execution is faster. And every AI initiative starts on solid ground.
This is what The Kendall Project calls AI Operations. Through the Kendall Framework, teams learn how to source, assemble, and govern the context their AI depends on. The result: fewer failed experiments, more repeatable success, and a foundation ready for the next generation of intelligent agents.
Because in the new era of AI, technology isn’t the differentiator, AI and Context Operations are.
And the organizations mastering context today will be the ones leading their industries tomorrow.