AI Risk, Meet ROI: The Gap in AI Investment Decisions
November 4, 2026 | 12:00 PM EST
AI adoption is accelerating both cybersecurity risk and ROI pressure across every function, but CISOs and CIOs face a different set of AI challenges than the Finance, Marketing, Supply Chain and HR leaders held accountable for proving ROI.
That gap gets more expensive as AI shifts from flat licenses to consumption-based pricing, where a single leaked credential or unmonitored usage spike can be a budget event and a security incident at the same time.
Whether you're accountable for AI risk, AI results, or the budget behind both, you'll leave with a shared framework for making AI investment decisions that hold up, no matter which department is asking.
What You'll Walk Away With:
A clear picture of the new security risks AI introduces throughout the organization and across every function
The real reason cost overruns and security exposure are intertwined and why treating them as separate problems is not the answer
A practical model for closing that gap: one shared system for tracking, approving and monitoring AI across the organization
A shared framework every department, including IT, Marketing, Finance, HR and Supply Chain can use to make the right AI investment decisions
Register to gain practical insights into closing the gap between AI risk and AI ROI, and a shared framework for making AI investment decisions that hold up across every department.
Speaker
Jigar Shah
Jigar is a transformational IT, Data, and Cybersecurity executive with two decades of experience across healthcare, financial services, banking, and retail/consumer goods, bringing a rare blend of technology, business, and legal expertise to large, regulated enterprise environments. Over a career spent leading complex, cross-functional initiatives, including cybersecurity, cloud migration, application development, and infrastructure, Jigar has built a cybersecurity department and risk program from the ground up. He has a track record of translating technical risk into clear guidance for boards and C-suite audiences. A law graduate with an MBA, Jigar is passionate about bringing IT, cybersecurity, business, and law together to enable organizations to move forward.
Who Should Attend
AI risk and AI ROI decisions increasingly touch every function in the business, not just the departments that build AI, but every department that funds, uses, or is accountable for it.
Strategic Leaders Across All Functions:
- C-Suite Leaders (CEO, COO, CFO, CMO, CTO, CIO, CISO)
- Chief Risk Officers
- Chief Compliance Officers
- Chief Data and AI Leaders
- Chief AI Strategists and Implementation Leaders
- VP/Director of Information Security
- VP/Director of Finance
- VP/Director of Marketing
- VP/Director of Supply Chain
- VP/Director of Procurement
- VP/Director of Human Resources
- Heads of Department Accountable for AI Budget or Risk
Why This Conversation Matters Now
Most organizations are experiencing the same tension. AI adoption is accelerating faster than governance can keep pace. Security risk is rising right alongside pressure to prove return on investment. Pricing models are shifting from predictable, flat licenses to usage-based costs that scale with every prompt, query and API call. Leaders are being asked to move fast on AI while still proving it's safe and paying off often without shared data or a shared process to do either. Closing the gap between AI risk and AI ROI has never been more urgent.
About Quartz Network
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