To understand the complexities and opportunities of AI technology, ÀÖÓ㣨Leyu£©ÌåÓý¹ÙÍø conducted research from over 1,390 global leaders and quantitative analysis from leading AI specialists. In addition, ÀÖÓ㣨Leyu£©ÌåÓý¹ÙÍø developed a detailed framework that outlines three phases of AI value. This structured approach is designed to assist technology companies in prioritising their AI investments, aligning initiatives with strategic business goals and effectively positioning themselves in the rapidly evolving intelligent economy.Â
Optimising artificial intelligence in technology companies
Many tech organisations are leveraging AI to enhance efficiency and streamline operations. This includes automation and efficiency gains, improving software development and customer service optimisation. But they also face challenges in data scaling, talent and expertise bottlenecks and navigating the ethical challenges of AI adoption.
At-a-glance insights:
will increase the percentage of global budget spent on AI
say this will be 10 percent plus
have achieved cost savings
have seen a moderate to very high ROI from their investments so far
Hybrid operating models dominate technology organisations as they plan for more AI-integrated products and services
81%
are planning to systematically incorporate AI into their products and services in the next 12 months
Over half
now report operating within a hybrid model that blends functional and agile approaches, reflecting the need for greater flexibility and responsiveness
A clear vision and aligned strategy is critical for the technology sector to unlock AI's transformative potential
How to realise value from your AI transformation journey
To address these challenges, ÀÖÓ㣨Leyu£©ÌåÓý¹ÙÍø introduces the three phases of AI value â€� a framework designed to guide technology companies through the AI adoption journey. This phased approach can unlock significant value through AI-driven transformation, ensuring technology companies remain competitive and innovative.
The Enable phase focuses on enabling people and building AI foundations. Organisations appoint a responsible executive, create an AI strategy, identify high-value use cases, boost AI literacy, align with regulations and establish ethical guardrails. AI pilots are launched across functions, while cloud platforms and pre-trained models are leveraged with minimal customisation.
The Embed phase integrates AI into workflows, products, services, value streams, robotics, and wearables, delivering greater value. A senior leader drives enterprise-wide workforce redesign, re-skilling and change, embedding AI into operating models with a focus on ethics, trust and security. AI agents and diverse models are deployed, supported by cloud and legacy tech modernisation, while enterprise-wide data enhances operations.
The Evolve phase evolves business models and ecosystems, using AI and frontier technologies like quantum computing and blockchain to solve large sector-wide challenges. AI orchestrates seamless value across enterprises and partners. Emphasising ethics and trust with real-time security, this phase uplifts human potential with broad and deep workforce training, fostering a creative, innovative and value-driven future.

The Intelligent tech enterprise
This research outlines a detailed blueprint for AI technology organisations, helping organisations chart a path toward unlocking AI’s immense value.
Our executive summary provides a cross-sector view of how organisations are navigating the opportunities and challenges of implementing AI. Download the executive summary to see the blueprint for intelligent industries to help you become an AI-powered, customer-centric organisation ready to thrive in the intelligent economy.Â
How can ÀÖÓ㣨Leyu£©ÌåÓý¹ÙÍø in India help
Related Content
Key Contact
Purushothaman KG
Partner and Head Technology Transformation, Sector Head - Telecommunications
ÀÖÓ㣨Leyu£©ÌåÓý¹ÙÍø in India
Access our latest insights on Apple or Android devices
