For the past two decades, enterprise software has largely followed the SaaS model: applications organize work through dashboards, forms, and APIs, while humans interpret information and coordinate tasks across multiple tools. Advances in large language models and agentic systems are beginning to change that structure. AI agents can now interpret user intent, retrieve context across systems, call tools, and execute multi-step workflows. As a result, software is gradually shifting from static interfaces toward systems that can actively perform work.

This shift does not mean SaaS disappears. Instead, applications increasingly become execution layers that agents interact with, while reasoning and workflow orchestration move into an agentic control layer above them. In legal workflows, for example, an agent can review large volumes of contracts, extract key clauses, compare them to internal policies, and surface potential risks for human review. In construction and engineering projects, agents can analyze plans, specifications, and contracts together to identify inconsistencies or obligations before they become costly issues in the field. The central question is therefore not whether AI replaces SaaS, but where durable advantage moves when software systems can reason over context and dynamically orchestrate work.

This talk explores how the emerging agentic stack is reshaping the software landscape and what it means for organizations building or deploying AI-driven products. It is intended for founders, product leaders, engineers, and executives who want to understand how AI agents are likely to transform software design, product strategy, and competitive advantage.