Episode 18: Deploying Agentic Applications: From Multi-Tenant to "SaaS Anywhere"
In today's session, we're unpacking one of the most critical questions for modern AI companies: How do you actually deploy agentic applications? Join us as we break down how agentic systems will be deployed at scale, what changes SaaS companies must prepare for, and what the future of agent-driven architectures looks like.
Timestamps
00:00Welcome to Agentic SaaS Talks Episode 1803:10Why SaaS Deployment Got Complicated10:25Enterprise Requirements: Compliance, Cost, Security & Latency17:40Common Real-World Patterns: Observability & Security Vendors22:55BYOC, BYOA, On-Prem & Hybrid Deployment Models30:45Three SaaS Deployment Patterns (Armen's Framework)37:05Cloud-Native Tools to Support SaaS Distribution (AWS Focus)45:20Control Plane vs Application Plane: Why Control Planes Matter52:40What Is Control Plane as a Service? (Omnistrate Deep Dive)1:00:10Future of Agentic Systems, Multi-Data Access & Closing ThoughtsRelated Episodes
Episode 37: EP 25: BYOC Anywhere
Paul Paliychuk of Zep AI and Omnistrate co-founder Alok Nikhil lay out ten principles for secure Bring Your Own Cloud deployment: keep the data plane in the customer's account, connect without exposing it, swap static credentials for short-lived identity, and make vendor access revocable by design. They walk through the four levels of BYOC, what changes inside air-gapped environments, and why AI products hit the enterprise security bar far earlier in their life than previous generations of SaaS did. The episode closes with a live demo that turns a Helm chart into a BYOC offering with a self-service customer portal.
Episode 35: The Founder's Guide to Scaling Open Source AI Products to Production on AWS
Omnistrate co-founders Kamal Gupta and Alok Nikhil map the road from open source adoption to revenue: the four ingredients of monetization (project, enterprise features, distribution, go-to-market) and the three business models open to open source AI companies, product-led growth, AWS Marketplace co-sell, and enterprise sales. Alok closes with a live demo that turns vLLM into a managed inference service with a self-service customer portal, showing why distribution needs a control plane and why a Marketplace listing alone gets you discovered but not paid.
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.