Visibility for Leaders
Consistently AI exists because I kept seeing the same pattern: organizations investing heavily in AI, making real progress in some areas, and completely stalling in others — without knowing it. The problem isn't ambition. It's visibility. When AI adoption happens unevenly across regions and departments, the gaps become invisible to leadership until they surface as failed projects, compliance incidents, or wasted spend. I built Consistently AI to make those gaps visible — and actionable — before they become expensive.
The Metric Nobody Else Measures
Most AI maturity tools assess an organization as a single entity. But large organizations aren't single entities—they're collections of regions, business units, and teams, each moving at a different speed. Consistently AI assesses across those boundaries and measures the fragmentation between them. That's the gap where risk and waste hide. It surfaces the problem so you can close it.
Adrian Amerson-Osorez
Adrian Amerson-Osorez is the founder of Consistently AI. She leads AI adoption strategy across a large, multi-department organization — driving change management, designing training programs, aligning stakeholders at every level, and establishing the cross-functional partnerships needed to make adoption stick at scale. That frontline experience is where Consistently AI was born. Across industries, the same pattern keeps repeating: organizations invest heavily in AI, but adoption happens unevenly. Some areas race ahead while others stall. Leadership pushes for speed without a shared way to measure whether the organization is actually moving together. The Fragmentation Index exists to make that gap visible — because you can't fix what you can't see. What makes her approach different is the career that came before. Years of internal audit, regulatory compliance, financial controls, and organizational restructuring gave her a deep understanding of how large organizations operate — and where they quietly break down. She's assessed operational controls across multiple departments, presented risk findings to executive leadership, managed multimillion-dollar budgets, and ensured compliance with regulations including Sarbanes-Oxley, ADA, FLSA, and Title VII. She knows where gaps hide because she's spent her career finding them. Consistently AI brings that same discipline to AI adoption — structured assessment, honest measurement, and a focus on the fragmentation that everyone feels but nobody quantifies. The problem is now framed as an industry-wide pattern she's observed, not something happening at her current organization.