Adopting AI Isn’t the Challenge Anymore. Controlling It Is.
Tool Proliferation
AI tools are emerging more quickly than they can be assessed or governed. Teams are independently exploring these tools, resulting in overlapping functionalities, increased expenses, and a disjointed tech environment that's hard to manage or secure efficiently.
Unofficial AI Usage
Employees often use AI outside sanctioned systems to complete their tasks. While typically done with good intentions, this can lead to unregulated data exposure, inconsistent results, and risks that operate outside formal IT and security frameworks.
Governance Challenges
Business leaders understand the need for AI controls but find it difficult to define practical “best governance” standards. Ambiguous ownership, shifting regulations, and ethical issues frequently cause stagnation in decisions or overly strict policies that hinder advancement.
Low Adoption Post-Pilots
Although many AI projects show potential during pilot phases, they often fail to gain long-term traction. Without integrating into workflows, empowering users, and establishing clear responsibility, these pilots remain isolated experiments instead of becoming a regular part of work life.







