Build differently: Engineering strategies for the agentic enterprise

Across industries, billions of dollars are being invested in infrastructure, models, and platforms to support the shift to Agentic AI.

82% of ISVs are “actively exploring” the integration of AI agents into their products.

Yet the real challenge facing software companies is not just adopting new technology. It is adapting organisations, products, and business models quickly enough to keep pace.

74% of European ISVs attribute +10% of revenues to AI-powered products. But it can power much more than just revenue.

AI is more than a feature to be added to existing products; it can be an entirely new way of creating services – enabling rapid experimentation cycles that allow teams to test and release new features much faster than before. The result is an organisation that can move quickly without sacrificing product quality.

But… This change redefines the whole software stack. It is both cultural and technical. Security also becomes more complicated as autonomous systems acquire the ability to initiate actions within enterprise environments.

If adapting to the agent era requires reassessing infrastructure, not just features, what is the best approach?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from global data centers. Millions of customers, including the fastest-growing startups, largest enterprises, and leading government agencies, leverage AWS to reduce costs, enhance agility, and accelerate innovation. Since 2006, we've transformed industries and lives by working backwards from our customers' needs to provide tailored cloud infrastructure solutions.