Governing Custom GPTs: Responsible AI for the Enterprise

September 11, 2025
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September 11, 2025
3 minutes read
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Generative AI is reshaping the enterprise landscape, enabling employees to design domain-specific solutions with unprecedented speed and creativity. Yet, with rapid adoption comes real risk: recent studies reveal that over 60% of enterprises cite governance and compliance as their top concern, while only one-third have responsible controls in place.

This white paper presents a three-pillar governance framework; central registry, continuous monitoring, and policy-driven guardrails that equips enterprises to scale AI responsibly. Backed by research showing that organizations with structured AI governance achieve up to 40% higher adoption rates of approved tools, it provides practical guidance on balancing innovation with accountability.

Download the paper to discover how your enterprise can safeguard trust, ensure regulatory readiness, and turn responsible AI into a strategic business enabler.

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Amit singh

“Amit Singh is the Chief Strategy Officer and Chief of Staff to the CEO at Altimetrik, where he drives corporate strategy, growth acceleration, and value creation through transformation initiatives. In this dual role, he partners closely with leadership teams, investors, and the board to align business strategy with sustained, technology-driven growth.

With over two decades of experience at the intersection of technology, business, and transformation, Amit brings a unique perspective on how organizations can innovate and adapt in a rapidly evolving digital landscape. His career has been defined by building high-performing teams, scaling innovative platforms, and driving organizational change to deliver lasting impact.

Before joining Altimetrik, Amit held senior leadership roles at Visa, where he led technology strategy, engineering, and product development for Real-Time Payments and the Visa Developer Platform. Earlier, he served as Chief Product Officer at a startup and spent more than a decade at Oracle, leading product and engineering teams across a wide range of enterprise software applications.”

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