Datavail published a whitepaper examining why agentic AI introduces fundamentally different risks, five dimensions influencing oversight required, potential impact of inadequate governance, and a practical six-phase framework for governing agentic AI.

Datavail | Data, Cloud & AI—Built for Real Business Outcomes Datavail is a data, cloud, and AI consultancy that helps organizations turn complex technology environments into clear, measurable business outcomes. We partner with data, technology, and IT leaders to make enterprise data more usable, systems more adaptable, and decisions more informed. Our work sits at the intersection of data management, cloud modernization, enterprise applications, and AI—bringing these disciplines together so they support the business, not slow it down. In a landscape full of tools, platforms, and transformation promises, Datavail focuses on what actually drives progress: • Trusted, well-managed data that teams can rely on • Cloud environments without unnecessary cost or complexity • Enterprise applications that evolve with the business • Practical, responsible AI that delivers value—not experiments We help organizations: • Improve data quality, accessibility, and governance • Turn analytics and AI into everyday decision-making tools • Modernize and optimize cloud and application environments • Reduce operational risk while increasing agility and performance Our Core Capabilities: • Data Management & AI: Data foundations, analytics, AI and machine learning that support real-world decisions • Cloud Services: Cloud modernization, optimization, SRE services, and license optimization • Enterprise Applications: Managed services, upgrades & integrations, digital transformation, and implementation services At Datavail, we believe data only creates value when it’s well managed, well understood, and actively used. Our role is to help organizations move from complexity to clarity—and from data to action.