Intelligent tech enterprise

It’s a pivotal moment for the technology sector. Two years into the generative AI era, many companies face pressure to demonstrate returns on their AI investments and drive employee adoption of AI tools.

And as AI models advance rapidly, the success or failure of tech executives in leading AI-enabled transformation will likely set the pace for many industries, and may well shape the future of the world, in the transition from a digital to an intelligent economy.

We surveyed over 183 key decision makers from the technology sector to understand the challenges and barriers that stand in the way of widespread adoption. We also looked at the opportunities that come with deploying and embedding AI across technology organisations.

The outcome is our ‘Intelligent tech enterprise’ report, a blueprint you can use to successfully deliver value with AI within your own organisation.

Read the ‘Intelligent tech enterprise’ report

Joe Cassidy

Partner and Head of Technology, Media & Telecoms

KPMG in the UK

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Real returns from AI come when it's embedded across the business - not just piloted in pockets. The focus now must be on scaling what works and measuring impact at every step.

Joe Cassidy

UK Head of Technology, Media & Telecoms, KPMG LLP

How you can deliver value through AI-transformation

We’ve identified a framework for AI value creation based on leading practice among tech businesses. The framework can help you build maturity across three distinct phases. Across these, the model looks at how you can increase the maturity of your tech foundations, the use of AI in functions, and how AI is orchestrated across the enterprise.

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Phase 1: Enable your people

This phase is about enabling your people and building AI foundations. You’ll be creating an AI strategy, identifying high-value use cases, boosting AI literacy, aligning with regulations, and establishing ethical guardrails.

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Phase 2: Embed AI into workflows

The Embed phase integrates AI into end-to-end workflows, products and services. In doing so, you start to deliver greater value. Your focus should be on breaking down silos and embedding AI across your core functions. That will provide real-time insights and improve decision making. You’ll now be measuring customer satisfaction scores and speed to market as key metrics of success, alongside efficiency and cost reduction.

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Phase 3: Evolve the tech eco-system

During the Evolve phase, you’re forming new business models and ecosystems to solve industry-wide problems. And you’re part of an ecosystem with customers, suppliers and governments. You’re using predictive insights to deliver sustainable outcomes. AI agents are no longer inhibited by silos or organised along value streams. And real-time monitoring ensures the integrity of your platforms.