Your board wants AI returns. Your teams aren’t ready.

2026-06-29 · Source: Information and Enterprise Technology News | CIO Dive - Www.ciodive.com · Field: Business & Management — Corporate Strategy & Leadership, Operations & Process Management, Project & Product Management · Depth: Intermediate, short

Summary

Sharon Lynch, CEO of Modus Create, highlights a critical disconnect in AI adoption, noting that while 91% of executives face intensified pressure to prove AI ROI, many organizations are ill-prepared for scaled implementation. A recent independent study of 500+ global business leaders revealed that 56% of executives believe AI is fully integrated across the product lifecycle, yet only 18% of managers agree. This gap leads to ambitious goals set ahead of execution readiness. The article argues that rushing for ROI by prioritizing process efficiencies or replacing human expertise is a trap, as AI amplifies existing gaps without proper foundations. True AI success, exemplified by a global life sciences company saving over \$5 million in clinical trial costs, depends on legacy system modernization, disciplined execution, and aligning leadership expectations with operational realities, rather than speed.

Key takeaway

For executives overseeing AI initiatives, recognize that proving ROI requires more than rapid deployment. Your teams must prioritize legacy system modernization and align leadership expectations with operational realities. Avoid mistaking speed for readiness. Instead, invest in foundational systems, processes, and skilled personnel for AI to deliver measurable, long-term value. This approach prevents unreliable outputs and ensures AI truly amplifies human expertise.

Key insights

Rushing AI for ROI without foundational system modernization and aligned teams leads to predictable failures and missed expectations.

Principles

• AI amplifies human expertise.
• Legacy system modernization is crucial.
• Speed does not equate to business value.

In practice

• Align leadership expectations with execution.
• Invest in foundational systems and processes.
• Combine predictive models with optimization.

Topics

• AI ROI
• Legacy System Modernization
• AI Strategy
• Executive Alignment
• Product Development
• Operational Readiness

Best for: CTO, Director of AI/ML, VP of Engineering/Data, Executive

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Editorial summary, takeaway, and curation by AIssential. Original article published by Information and Enterprise Technology News | CIO Dive - Www.ciodive.com.