The Three Questions That Determine AI Readiness

InnovationThe Three Questions That Determine AI ReadinessByBrian Harmison,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 13, 2026, 08:15am EDTBrian Harmison is the CEO of Corsica Technologies, a leading national MSP and industry pioneer in AI-enabled automation. getty​Artificial intelligence dominates executive agendas. Boards expect acceleration, employees anticipate new capabilities, and vendors promise rapid transformation. Yet in conversations with leadership teams, I increasingly hear a quieter, more revealing question: "We want to do AI. We just don't know where to start."This is not a technology problem. It is a readiness problem. Organizations that lay the right foundation for AI will extract far more value than those that deploy broadly and hope for the best. They are the ones that build on disciplined operations, clear outcomes and accountable integration. Those that skip this work don’t just fail quietly; they scale inefficiency and institutionalize confusion.Many enterprises begin with a simple ambition to implement AI quickly and find value. In practice, this often accelerates dysfunction. Teams pursue isolated use cases and overlapping tools that are difficult to measure or govern. Leaders point to adoption metrics but struggle to explain how those efforts translate into efficiency or growth. ​A fundamental principle applies: You cannot automate chaos. AI will not fix a broken process. It will scale it. ​Executives who succeed apply deliberate selection. Rather than asking how quickly AI can be deployed, they ask where it creates repeatable advantage, and where restraint produces better results. Often, the most responsible answer is not acceleration. It is sequencing.Three Questions Before Deployment Before deploying AI in any function, leaders should answer three foundational questions...