A Strategic Approach to Managing AI as an IT Asset
Executive Summary
AI is not just another passing trend—it’s a transformative force reshaping industries at an unprecedented rate. However, like any new technology, its spread across the enterprise is following a familiar and potentially dangerous pattern. AI is rapidly expanding, often unchecked, creating an environment ripe for inefficiency, risk, and waste. But, it doesn’t have to be this way.
I argue that the solution lies in managing AI as an IT asset. Rather than slowing down AI experimentation, proper governance can enable experimentation within controlled, safe, and strategic boundaries. This paper outlines a path to managing AI responsibly while unlocking its full potential.
Key Takeaways
- Manage AI like an IT asset: Treat AI with the same rigour you apply to managing other IT assets. This includes discovery, classification, ownership, and cost control.
- Balance Governance with Innovation: AI governance doesn’t need to stifle innovation. In fact, proper governance can enable faster, safer experimentation by providing clear boundaries within which teams can innovate.
- Collaborate Across Teams: AI governance is a team sport. ITAM, InfoSec, finance, legal, and senior leadership all have a role to play in ensuring AI is used responsibly and strategically.
- Prepare for Compliance and Ethics: Don’t wait for regulations like the EU AI Act to hit you. Be proactive in building ethical and compliant AI systems from day one, turning potential regulatory burdens into innovation enablers.
AI is an extraordinary technology, capable of transforming industries in ways we can’t yet fully comprehend, but with this potential comes significant risk. The key to managing AI is not to stifle it but to create the frameworks that allow it to thrive in a responsible, secure, and innovative manner.
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