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.
AI adoption is accelerating, but many organizations stall at the pilot stage due to poor use-case selection. To unlock ROI from AI, and ensure the right prioritization, leaders must treat their use-case selection with the same rigor as portfolio investment. That means evaluating every opportunity across business value, feasibility, cost, and governance fit.
Think automation that reduces onboarding friction, AI-curated content that boosts engagement, and intelligent search that saves hours of manual work.
The key isn’t chasing innovation – it’s solving real business problems with measurable impact. Governance, scalability, and data readiness aren’t optional; they’re prerequisites for success.
Read the article to learn how to identify, evaluate, and prioritize AI use-cases that deliver fast, scalable AI ROI.
The message being sent to Boards across the globe is clear: AI pilots aren’t stalling due to tech limitations but because Legal, Risk and Compliance teams are unable to sign off in the absence of robust AI compliance and control frameworks.
2026 is shaping up to be a turning point: without the right governance guardrails, scaled AI deployment simply will not and should not happen. The challenge is about visibility, control, accountability, and managing risk – and action needs to be taken now, before AI moves faster than the organization can manage.
Governance can in fact be your competitive advantage: it builds trust with regulators, confidence among employees, and credibility with customers.
Read the article to learn the essential governance steps CEOs and Boards must take before mass roll out of AI products and systems.
GenAI is already transforming Customer Services into a growth engine at rapidly scaling companies – by enabling faster resolutions, smarter staffing, and hyper-personalized experiences at scale.
Rest assured, however, that organizations with legacy systems can still move quickly. How? By selecting targeted use cases with clear AI ROI. AI-native platforms are redefining efficiency and pricing, while custom builds offer deeper control and differentiation.
Success does not depend on technology though – it depends on business leaders asking the right questions about trust, transparency, security, and AI ROI. The decisions made today will shape customer experience and your competitive edge for years to come.
Read the article to discover the five questions every leader must ask – and three keys to unlocking GenAI’s full potential in customer service.
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.
Helping clients transform with AI
Our Data & AI teams help clients across the AI lifecycle. Below are some recent examples.
Life Sciences · Data & AI
Unlocking AI innovation with a scalable, compliant Data Operating Model
Wealth & Asset Management · Data & AI
Helping a client identify the most impactful AI use cases for investment
Insurance · Data & AI
How does Helvetia Group speed up document processing with GenAI?
Your next steps
Our experts have built a variety of accelerators to help clients build and drive adoption of secure, scalable Data & AI capabilities:
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.
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Richard Graham
Partner, UK, London
IT Strategy & CTO Advisory
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Cecilia Edwards
Partner, USA, Dallas
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Ishita Kishore
Senior Manager, UK, London
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Callum Lyons
Manager, UK, London