AI for Boards: maximizing ROI, minimizing risk

While few Board members question the transformative potential of AI, it’s critical they balance that opportunity with their broader responsibilities – to customers, employees, regulators, and shareholders.

In this context, no CEO, COO, or CFO should be expected to approve major Data & AI investments without a compelling strategic, financial, and operational rationale.

Any commitment to AI must be grounded in the fundamentals: alignment to business strategy, a focus on AI ROI and the presence of robust governance to manage associated risks.

In the articles below, our experts address the key questions that growth-focused leaders are asking to ensure AI delivers measurable, responsible ROI and impact – along with practical recommendations for getting it right.

4 key data & AI challenges  

Agentic AI, with its ability to reason, plan, and act autonomously, marks a new frontier in enterprise transformation. But unlocking its full potential demands more than ambition; it requires strategic clarity, robust data foundations, and disciplined execution.

From JPMorgan’s contract intelligence to IBM Watson Health’s oncology platform, early adopters are proving that Agentic AI can deliver measurable impact across industries.

The key? Prioritizing high-value use cases, simplifying processes before automating, and embedding human-AI collaboration.

Read the article to discover the five pillars that drive real ROI from Agentic AI – and how to scale with confidence.

Read the full article

To unlock real AI ROI, business leaders must prioritize high-impact use cases, embed governance from day one, and treat customer experience as a strategic growth lever.

Richard Graham, Partner, Wavestone

Helping clients transform with AI  

Our Data & AI teams help clients across the AI lifecycle. Below are some recent examples.

Client Story

Data Operating Model

Life Sciences · Data & AI

Unlocking AI innovation with a scalable, compliant Data Operating Model

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Client Story

AI use cases for investment

Wealth & Asset Management · Data & AI

Helping a client identify the most impactful AI use cases for investment

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Client Story

Insurance · Data & AI

How does Helvetia Group speed up document processing with GenAI?

Read More

Your next steps  

Our experts have built a variety of accelerators to help clients build and drive adoption of secure, scalable Data & AI capabilities:

Enterprise Data & AI Maturity Model

Helping clients define a roadmap for AI transformation, assessing current capabilities in data and AI across dimensions such as strategy, governance, technology, talent, and culture.

Data & AI Operating Model Archetypes

Helping clients design or refine their operating model for data and AI initiatives, ensuring it aligns with their business structure, culture, and strategic goals.

Use Case Library (with sector flavors)

Helps clients explore proven, high-impact data and AI use cases relevant to their industry, helping them identify opportunities and accelerate ideation.

AI Opportunity Prioritization Framework

Helps clients evaluate and prioritize AI initiatives based on critical parameters, such as business value, feasibility, risk, and strategic alignment.

Meet the experts behind your success

Our UK & US-based Data & AI teams help clients across the AI lifecycle, from strategic advisory, to architecture & technology, through to business enablement. They work closely with over 600 global Data & AI colleagues.

  • Richard Graham

    Partner, UK, London

    IT Strategy & CTO Advisory

  • Cecilia Edwards

    Cecilia Edwards

    Partner, USA, Dallas

  • Ishita Kishore

    Senior Manager, UK, London

  • Callum Lyons

    Manager, UK, London

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