Leaders who are out front and delivering big business impact with AI now have embraced three truths:
AI-native enterprises set themselves apart from competitors and create the conditions for continuous growth, efficiency and resilience by putting AI at the core of their business. AI-native embeds intelligence into the people, processes and technology that make up an enterprise to create a dynamic ecosystem that’s agile by design.
Expert Perspectives
Hear directly from Kyndryl leaders who are helping organizations around the world embrace AI-native enterprise with confidence.
Michael Bradshaw, Senior Vice President and Global Practice Leader,Applications, Data and AI
Victoria Pelletier, Vice President, Kyndryl Consult
Michael Bradshaw, Senior Vice President and Global Practice Leader,Applications, Data and AI
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Discover how agentic AI is transforming retail, cutting complexity, powering intelligent operations, and enabling personalized experiences. Learn how leaders are moving from pilots to AI‑driven growth.
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In an era shaped by real-time, open, embedded, and continually personalized experiences, every piece of the traditional banking experience is up for grabs. Understand the opportunity and explore four actionable recommendations for success.
Explore the recommendations
In a healthcare landscape shaped by predictive insights, real-time intelligence, and personalized care journeys, traditional models are being redefined.
Explore the insights
Discover how agentic AI is transforming retail, cutting complexity, powering intelligent operations, and enabling personalized experiences. Learn how leaders are moving from pilots to AI‑driven growth.
Discover the transformation
In an era of rising risk, dynamic regulation, and changing customer needs, insurers must move beyond reactive models.
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Big ideas shaping the future
Explore bold ideas to power AI progress from eminent thought leaders across industry, academia, and civil society at The Kyndryl Institute.
An AI-native enterprise designs its strategy, operating model, and technology stack so that AI is embedded in everyday workflows, decision-making, and digital systems, and not simply added later as a standalone tool.
AI-first often prioritizes using AI tools. AI-native goes further by reworking architecture, governance, data foundations, and operating processes so AI can scale reliably across the business.
No. Cloud-native focuses on how applications are built and deployed in the cloud. AI-native focuses on embedding AI capabilities, including models, copilots, and agents, into products, operations, and decision flows with governance and measurement.
Measuring ROI for an AI-native transformation involves calculating the net benefit by tracking the following key metrics:
These metrics can also be paired with figures for the overall usage and adoption.