Episode 16: From SaaS to Agentic SaaS: Autonomy, Orchestration & Opportunity
Welcome to Agentic SaaS Talks! For the past 16 episodes this series has been known as SaaS Monday, Live on Friday, our deep dives with AWS and some amazing founders and builders on how to design, build and scale great SaaS products. Today we're rebranding to reflect a massive shift in the industry: the rise of agentic systems, AI-driven software that acts autonomously, collaborates intelligently and continuously improves itself.
Timestamps
00:00Intro: The Future of Agentic SaaS02:05Why SaaS Delivery Is Getting Cheaper & Faster07:12Fast-Fashion SaaS: Build, Launch, Discard11:48Balancing Speed with Security & Stability17:22How AI Is Transforming Back Office Operations23:40Building Guardrails for Agentic Apps30:10Infrastructure as Product: The New Paradigm38:55Real-World AI Agent Story: Lufthansa's Lisa44:45Data Retention, Privacy & Digital Legacy48:30Open-Source LLMs & Closing the AI Access GapRelated Episodes
Episode 34: How to Govern & Monetize Agentic AI | DataRobot Agent Workforce Platform
Romi Datta, VP and Head of Product Management at DataRobot, explains why enterprise AI is moving past chatbots and copilots toward full agent workforces, and why 95% of agentic AI pilots still fail to deliver measurable ROI. He walks through production use cases from insurance claims processing to industrial safety at Chevron (with NVIDIA edge AI), then breaks down the governance, observability, secure context management, and agent memory an enterprise platform needs to run agents in cloud, hybrid, on-prem, and air-gapped environments.
Episode 29: Ep 23: BYOC or Bust: Why Enterprise Customers Want You in Their Cloud
BYOC has shifted from a deployment option to a buying requirement. AWS solutions architects and Omnistrate's Kamal Gupta break down why enterprises now demand software in their own cloud, the security building blocks that make it work, and how agentic AI and data gravity are accelerating the move toward Bring Your Own Cloud.
Episode 27: Ep 22: LLM Tokenomics: New Economics Making 'Cheap' Engineers Expensive
From token leaderboards and LLM FinOps to the rise of the 'Agent Shepherd', the panel unpacks what LLM Tokenomics means for engineering teams and developer productivity. They debate whether tokens are replacing developer time, why AI productivity gains are so inconsistent, and what makes a great engineer when English becomes the new programming language.