Software engineering is entering a transformative era. As organisations move from AI‑augmented delivery to AI‑native, agent‑led engineering, the Software Development Life Cycle (SDLC) is being fundamentally redefined. Speed alone is no longer the differentiator — quality of judgement, clarity of intent, and effective governance are becoming the true constraints.
This session explores the future of engineering in an AI‑native world, grounded in Accenture’s perspective on agentic delivery and the self‑driving SDLC. We examine how AI is reshaping product definition, system design, and delivery models — shifting from human‑driven execution to AI‑driven, human‑directed outcomes.
From a product perspective, AI agents dramatically compress the distance between idea and evidence. By accelerating prototyping, experimentation, and feedback, teams can move from hypothesis to insight in days rather than quarters. Continuous, agent‑driven learning loops enable earlier de‑risking, faster adaptation, and a stronger focus on outcomes over outputs.
We trace the evolution from AI‑augmented collaboration to AI‑native models built on delegation and supervision, and explore what an agent‑powered enterprise looks like in practice — with organisational context, the Semantic Spine, emerging as a critical source of competitive advantage.
Finally, we outline a pragmatic path forward: how to safely pilot agentic delivery, prove value through lighthouse teams, and scale responsibly across the enterprise.
Designed for engineering leaders, architects, product leaders, and executives, this session equips organisations to navigate the transition to an AI‑native future — with humans firmly in the lead.
