With over 25 years of executive and entrepreneurial experience in enterprise software and a track record of successful business exits, Pete’s leadership gives ModelOp customers, partners and employees a high level of trust and confidence in the company and its future.
AI adoption continues to accelerate, but many organizations struggle to measure the return on their investments and manage associated risks. In a recent article by Risk Management Magazine, ModelOp CEO Pete Foley shared key insights on the challenges of AI governance and why organizations must establish clear oversight to ensure AI projects deliver real business value.
Foley highlighted a critical gap in AI accountability, noting that over 50% of leaders cannot measure ROI on AI investments, and fewer than 2% of CEOs have full visibility into how AI is being used and the risks it presents. Without proper governance and measurement, many AI projects stall at the proof-of-concept stage, failing to generate meaningful results.
The article underscores the importance of aligning AI initiatives with business objectives, defining clear KPIs, and implementing robust risk management frameworks—principles that ModelOp champions through our AI governance solutions.
