Trend 4: Interfaces shift from navigation to outcome execution across agents and tools

Digital experiences are moving beyond step-by-step navigation to systems that can execute outcomes directly. Users no longer need to move across multiple screens or applications to complete tasks. Instead, they express intent, and systems coordinate the required actions across tools, services, and data sources.

This shift is enabled by a combination of agent-based systems and tool orchestration. AI agents can interpret goals, plan actions, and manage execution, while underlying platforms dynamically select and connect the right APIs, services, or applications needed to complete the task. Interfaces are therefore evolving from static workflows to intent-driven layers that expose capabilities rather than predefined steps.

For organizations, this changes how digital systems are designed and delivered. Applications need to expose structured, machine-readable actions, supported by well-defined APIs and clear capability models. At the same time, governance becomes more important. Enterprises must implement controls for validation, monitoring, and policy enforcement to ensure that autonomous actions remain reliable, secure, and compliant.

The result is a more seamless and integrated experience where tasks are completed with less effort, interactions feel more intuitive, and systems operate as coordinated environments rather than disconnected tools.

Trend 5: Interface creation moves closer to prompt-driven generation

Interface creation is shifting from manual development to AI-assisted generation. Instead of building every screen, teams define design systems, constraints, and rules, and AI generates layouts and interaction patterns that align with these guidelines.

This approach improves speed and expands design exploration by allowing teams to test and iterate more quickly. At the same time, validation remains essential. Generated interfaces must meet requirements for accessibility, security, and performance before moving into production.

Over time, teams build structured prompt libraries and reusable patterns that guide generation and maintain consistency. This results in a more scalable approach where design systems and governance remain central, even as creation becomes more automated.

Trend 6: Commerce shifts to agent-led, intent-driven interaction

Agentic Commerce introduces a more direct and streamlined model for digital transactions. Instead of navigating product journeys manually, users express intent, and AI systems coordinate discovery, selection, and transaction across merchant systems.

These interactions can include user approval where needed or operate within defined boundaries for well-understood scenarios. This reduces friction in the purchase journey and simplifies decision-making.

To enable this, commerce systems need standardized interfaces that allow agents to interact consistently across platforms. Emerging protocols such as Agentic Commerce Protocol (ACP) and Universal Commerce Protocol (UCP) provide a foundation for exposing capabilities in a structured way, supporting interoperability across ecosystems.

Infosys worked with a large US-based retailer to enable agentic commerce using UCP across AI mode in Google Search and the Gemini app. This allowed AI systems to support intent-driven product discovery and transactions within these two experiences, improving visibility and making product assortments easier to discover and purchase. The approach reduced friction in the buying journey and supported a more intuitive commerce experience.