Reflections from the GBI Impact CIO/CISO Summit: AI and the future of enterprise tech

Why crypto agility is critical in the AI era

In the CISO track, one theme dominated: crypto agility is non-negotiable. Static cryptographic strategies can’t keep pace with today’s accelerated change. With certificate lifespans shrinking to as little as 47 days, automation and posture management are essential for resilience.

Preparing for post-quantum cryptography

Quantum computing isn’t a distant concept, it’s coming fast. Enterprises must start planning for post-quantum cryptography (PQC) readiness now to avoid exposure to future vulnerabilities.

Responsible AI in security

AI can strengthen threat detection and automation, but poorly implemented AI introduces new risks. The takeaway? Crypto-agility isn’t a buzzword, it’s a survival strategy for enterprises navigating AI and quantum convergence.

Bridging the divide with AI

On the CIO track, the conversation shifted to productivity and engagement. AI is no longer just a tool. It has become a co-worker, actively participating in workflows. This evolution demands new skill sets and cultural adaptation.

Balancing innovation with safety

In healthcare especially, innovation must always be tempered with patient safety and regulatory compliance. The stakes are too high for shortcuts. CIOs must ensure that modernization aligns with these critical safeguards.

Modernization blockers

Legacy systems remain a significant barrier to AI adoption. Without modernization, organizations can’t unlock AI’s full potential. CIOs need to prioritize infrastructure upgrades to enable scalable, secure AI integration.

One key insight I walked away with 

AI projects will continue to have a high failure rate unless organizations deeply understand the workflows they aim to transform. An MIT study found that 95% of companies see zero ROI from AI investments. Why? Because success isn’t about flashy demos. It’s about integrating AI into complex, real-world processes. In healthcare, success means navigating complex clinical workflows and interoperability challenges that generic solutions simply can’t address. On the financial side, when AI is grounded in decades of clinical expertise, it transforms revenue cycle performance in ways nothing else can.

Looking ahead

The packed rooms and engaged audiences were a testament to the urgency of these topics. As we scale AI responsibly at Solventum, our focus remains clear: deliver solutions that work in the real world, not just in controlled environments. That means compliance-first, workflow-native AI that strengthens financial outcomes and enhances care quality. That’s how we turn AI from hype into meaningful impact. 

And when it comes to revenue cycle AI, the principle is simple: the only way to truly modernize is to root every decision in clinical truth, not statistical shortcuts. Revenue cycle modernization only works when AI understands medicine. Our commitment is to build AI that does.

Hari Bala is chief technology officer, health information systems, at Solventum.