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Episode Archive

Deep dives into agentic AI, SaaS architecture, and the future of intelligent applications

40 Episodes Available

Episodes

Enterprise Adoption of AI: When AI Starts Writing to the System of Record
54 min
September 11, 202654 min

Episode 39: Enterprise Adoption of AI: When AI Starts Writing to the System of Record

Guest host Michael Cooper, founder of AGLedger.ai, joins Bill Tarr and Kamal Gupta to argue that the line that matters for enterprise AI is action, not adoption. He walks the adoption curve from chat and coding copilots through workflow automation, supervised action and bounded autonomy to probabilistic decisioning. The group covers agent identity, why an agent that resets its memory should be treated as a new employee on every run, and why results drift between a Monday and a Saturday. Cooper says enterprises already have four of the five pieces they need and are missing a durable, tamper-evident record of intent, approval and action, and why a log an agent reconstructs afterward is not evidence. Anyone building or buying agents that write to systems of record gets a concrete case for recording intent first.

AI & Agents
SaaS Strategy
+1
The Last Mile of AI-SDLC: When Agents Build What Customers Want
57 min
August 11, 202657 min

Episode 38: The Last Mile of AI-SDLC: When Agents Build What Customers Want

Productmind co-founders Steen Brahe and Alessio Nobile take on the last mile of the AI software development lifecycle: getting from a real customer conversation to shipped code without losing the original intent. They demo how a customer call becomes a feature request, then a living specification, then agent-ready tasks running against an existing codebase, with full lineage preserved from feedback to release. The panel also digs into how AI is redrawing product and engineering roles, what governance of human-agent collaboration looks like in the enterprise, and how the founders cleared 20+ bugs with parallel agents while building Productmind with Productmind. For product managers it doubles as a working example of AI for product management: customer feedback turned into specs that coding agents can act on.

AI & Agents
Developer Experience
+1
BYOC Anywhere: 10 Principles for Secure Bring Your Own Cloud Deployment
50 min
July 29, 202650 min

Episode 37: BYOC Anywhere: 10 Principles for Secure Bring Your Own Cloud Deployment

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. If you are asking what BYOC means in practice, this is the checklist: the software runs in the customer's cloud account, the vendor operates it, and the customer keeps control of access.

Cloud Infrastructure
Security & Identity
+1
Agentic SaaS Talks, 2025 Year in Review
56 min
January 9, 202656 min

Episode 24: Agentic SaaS Talks, 2025 Year in Review

Michael Cooper, Bill Tarr, Markus Kaiser and Ermin Dzinic review 2025 on Agentic SaaS Talks and make predictions for 2026. They trace the show from SaaS Mondays articles to the current name and 19 guest episodes, and Markus recalls AI coding hallucinating functions at the end of 2024 before it became a required skill by April or May. Bill revisits the Rox episode and the one-person unicorn, and the panel covers the HoneySales pivot, John Lorance on abstracting cloud primitives, and digital identity for people and agents. Predictions include fewer acqui-hires, data companies gaining, LLMs becoming commodities, control planes growing in importance, and context engineering as the word of 2026. Listeners get a candid account of what changed for SaaS founders and engineers during 2025.

AI & Agents
SaaS Strategy
+1
The Agentic SaaS Executive Summit - Live Event
105 min
December 2, 2025105 min

Episode 20: The Agentic SaaS Executive Summit - Live Event

A live summit at AWS re:Invent in Las Vegas, hosted by Bill Tarr, with two panels. The first asks whether agentic AI is revolution, evolution or hype, with Shriram Sridharan of Rox, Guy Korland of FalkorDB, Mihir Pandya of Scale AI and Alok Nikhil of Omnistrate. It covers seat, usage and outcome-based pricing, the return of bring-your-own-cloud deployments, and enterprise demands for data lineage. The second covers commercializing open source with Peter Farkas and Peter Zaitsev of Percona, Gopi Duddi and Talina Shrotiya of Couchbase, and Kamal Gupta, including open core, license changes that cost communities trust, and foundation-owned projects such as Linux and Kubernetes. Founders deciding how to price agentic software or monetize open source can compare specific positions.

AI & Agents
Open Source
+1
Leaning into Agentic: How HoneySales Pivoted to an AI-Driven Future
58 min
November 28, 202558 min

Episode 19: Leaning into Agentic: How HoneySales Pivoted to an AI-Driven Future

Michael Cooper, Markus Kaiser and Ermin Dzinic talk with Denis Zatsepin, CTO of HoneySales, about how the company went from a manual sales service to SaaS and then to a multi-agent product on AWS. The agents build ideal customer profiles, a job that a sales consultant would otherwise do by hand, because customers with a wrong ICP got little from the rest of the pipeline. Denis built the first prototype with the Strands Agents SDK as one container on Fargate behind a load balancer, and had a working application in two to three weeks. An orchestrator agent proved slow and opaque to users, so the team moved to direct chats with specialist agents that sync through a shared workflow tool. Founders and engineering leaders get a concrete account of what a pivot to agents changes in architecture and user experience.

AI & Agents
SaaS Strategy
+1
Agentic Architectures: Building AI Apps that Think and Scale
57 min
January 20, 202557 min

Episode 17: Agentic Architectures: Building AI Apps that Think and Scale

AI applications are evolving from simple prompt-driven tools into agentic systems, intelligent applications that can reason, act, and adapt. But as builders race to bring these apps to market, the same questions keep coming up: What should we build ourselves? What should we leverage from the ecosystem? And how do we operate these apps as a managed service at scale? In this session, our guests unpack the architectural patterns, design choices, and deployment models shaping the next wave of agentic innovation. From front-end frameworks like Vercel + Next.js, to AWS-native AI services, to control planes that automate everything between, this is a blueprint for taking your Agentic App from prototype to managed platform.

AI Architecture
AI & Agents
+1
From Startup to Scale-up with Confluent
61 min
July 22, 202461 min

Episode 4: From Startup to Scale-up with Confluent

Michael Cooper, Kamal Gupta, Bill Tarr and Markus Kaiser talk with Confluent's Head of Global Partnerships about taking a SaaS company from first customers to scale. The guest recalls Confluent's early white-glove onboarding, when founders joined support calls, and notes that its cloud product is now over half of a billion-dollar run rate. The panel argues that unique customer installs create technical debt and can turn a SaaS company into a consultancy, that startups should keep a single version of the application plane, and that a control plane is more than a script. Kamal explains why Terraform and blue-green rollouts break down with many tenants, and the group debates building versus buying undifferentiated infrastructure. Founders past their first few customers can use it to decide what to automate first.

Growth & Pricing
Founder Stories
SaaS Deployment Models, From Fully Hosted to BYOC
61 min
July 15, 202461 min

Episode 3: SaaS Deployment Models, From Fully Hosted to BYOC

Michael Cooper, Kamal Gupta, Bill Tarr and Markus Kaiser walk through the main SaaS deployment models, from fully hosted to private VPC to bring-your-own-cloud (BYOC). Kamal explains how the control plane came out of early AWS services like S3 and RDS, and why a deployment that depends on people running scripts is not SaaS. Bill compares silo and pooled tenancy, and contrasts PrivateLink, VPC peering and VPC Lattice for connecting to customer accounts. Markus covers data sovereignty, latency and intellectual property as reasons customers demand deployment in their own accounts, and Kamal argues Terraform alone cannot manage SaaS infrastructure. Founders weighing hosted against BYOC will leave with a way to work backwards from their customers' requirements.

Cloud Infrastructure
SaaS Strategy
Selling SaaS on AWS Marketplace and Other Cloud Marketplaces, with Labra's CEO
49 min
July 8, 202449 min

Episode 2: Selling SaaS on AWS Marketplace and Other Cloud Marketplaces, with Labra's CEO

Michael Cooper hosts Sridhar Adusumilli of Labra and Ibex Labs, Bill Tarr of the AWS SaaS Factory and Markus Kaiser of AWS to make the case that SaaS startups should list on AWS Marketplace early. Bill Tarr notes that more than one partner transacts over a billion dollars a year there, and that enterprise private pricing agreements let marketplace purchases count toward a customer's AWS spend commitment. Sridhar describes how a marketplace partner gets a first listing live when a deal is waiting on it, and Markus Kaiser covers enterprise buyer personas and land and expand. The panel then turns to co-sell through the ACE tool, the Foundational Technical Review, and newer marketplace features such as free trials, vendor insights and channel partner private offers. Listeners selling SaaS to enterprises learn what to set up on AWS and why.

Growth & Pricing
Cloud Infrastructure
How will AI Impact SaaS Builders
64 min
July 1, 202464 min

Episode 1: How will AI Impact SaaS Builders

Michael Cooper hosts Kamal Gupta, Bill Tarr and Markus Kaiser in the first live stream of the show, then called SaaS Mondays, to ask whether AI kills SaaS. The panel says it does not: SaaS is a business model, and Bill Tarr's test for real SaaS is whether a company has a control plane. They cite US VC money going to AI rising from 22% in 2022 to 42% last year, then cover usage-based and outcome-based pricing, including bring-your-own-LLM as a way to cap customer spend. On architecture they discuss per-tenant long-running training jobs with checkpointing on costly GPUs, per-tenant models and RAG, headless SaaS where agents replace the application layer, and tenant isolation. Markus Kaiser adds the European view on data residency. Anyone building or running SaaS gets a practical list of what AI changes in pricing, deployment and multi-tenancy.

AI & Agents
SaaS Strategy

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