Infosys TechCompass

Experience engineering technology

Trend 7: Edge intelligence brings context-aware interaction closer to the user

Edge AI combined with contextual sensing is reshaping how experiences are delivered across mobile, IoT, wearable, and AR environments. Devices can now process inputs such as motion, sound, biometrics, and visual signals locally, enabling faster and more responsive interaction without depending entirely on cloud systems.

This shift allows experiences to adapt in real time to the user’s environment. Devices move from passive data collection to active participation, offering timely insights and assisting users based on context. Advances in multimodal sensor fusion, on-device AI models, and low-power processing capabilities are making this possible.

Experience engineering teams are increasingly incorporating these contextual signals, using factors such as movement, proximity, and environmental conditions to shape interaction. This supports more intuitive and privacy-aware experiences across industries, including healthcare, automotive, industrial systems, and consumer applications.

Experience engineering technology

Trend 8: Agentic engineering redefines how digital experiences are built and delivered

Agentic engineering blends AI-native development, the breakthrough method for agile AI-driven development (BMAD), and multiagent DevOps to establish an autonomous delivery paradigm. BMAD introduces role-based agent orchestration patterns that structure how specialized agents collaborate across the software delivery lifecycle. Multiagent ecosystems, where agents plan, code, test, optimize, secure, and deploy, are emerging as the new engineering backbone.

This shift transforms experience engineering from manual execution to human-supervised orchestration. As reasoning models and multiagent collaboration grow more reliable, enterprises are beginning to adopt agentic delivery lanes across product, engineering, and operations.

New patterns such as reusable BMAD role-based modules, long-context orchestration, agent handoff workflows, and open-weight model customization give enterprises fine-grained control, governance, and traceability while enabling high levels of autonomy. Complementary orchestration capabilities, such as the Infosys Agent Control Framework (ACF) composer and workflow patterns, help organizations govern agent interactions, enforce human oversight, and standardize enterprise delivery processes. Organizations are restructuring delivery workflows to incorporate agents as first-class contributors, redefining productivity, release velocity, software quality, and design-to-code pipelines.

This evolution positions engineering teams to operate as supervisors, orchestrators, and governors of autonomous systems rather than sole executors of tasks. By combining specialized AI agents, governed workflow orchestration, and enterprise control frameworks, organizations can accelerate delivery while maintaining accountability, compliance, and operational resilience at scale.

Experience engineering technology

Trend 9: AI-powered intelligent experience ecosystems

AI-powered applications are evolving into smart platforms that can understand goals, make decisions, and complete tasks on their own. Instead of just responding to questions, these systems can connect with enterprise tools, understand context, and carry out actions for users. With the ability to process text, images, documents, and other inputs, these systems are making digital experiences more natural, intuitive, and proactive.

As these technologies improve, organizations are moving away from step-by-step screen interactions to outcome-driven experiences, where users state what they want, and the system handles the rest. AI copilots for areas like commerce, customer service, and knowledge are helping automate tasks that were done manually. To ensure these systems work reliably and safely, organizations are putting in place strong controls, integration layers, and architectures that combine trusted data with intelligent decision-making.