Codestrap

The risks of deploying probabilistic AI in systems that depend on reliability Check out Code x Connor Episode 30 with guest Brian Fornelli, Senior Director of Data Solutions and Engineering at Conagra Brands. Brian’s work focuses on building production-grade decision systems that drive real business outcomes at scale. Conagra Brands is a leading North American packaged foods company with a strong portfolio of iconic and emerging brands focused on driving growth through innovation, data, and operational excellence. Brian, welcome to Code and Connor. In this episode, we discuss: → Why cross-functional teams outperform traditional enterprise org structures for AI → The risks of deploying probabilistic AI into real-world operations → Why most enterprise problems don’t need advanced AI → The importance of observability, governance, and traceability in AI systems → How enterprises balance platforms like Palantir, Databricks, and Snowflake → Why AI-generated software may matter more than AI-powered operations → The coming pricing, supply, and GPU challenges facing enterprise AI → Why organizations need better ways to measure AI ROI and productivity → The risks of unbounded “vibe coded” enterprise applications → Why deterministic systems and traditional ML still matter alongside LLMs Be sure to follow us to get the latest information, and schedule a meeting with us through our website!

Episode 30 is live! Codestrap’s CxC Ep30: Building AI Systems That Don’t Break the Business - with Brian Fornelli from Conagra Brands. Brian Fornelli is a Senior Director of Data Solutions and Engineering with over 15 years of experience at the intersection of applied machine learning and software product development. His work focuses on building production-grade decision systems that drive real business outcomes at scale. youtube.com/watch?v=BRJJi4…

AI subsidization is distorting the market and preventing innovation This week on Code x Connor, we’re joined by Maciej Kraus, partner at Movens Capital and Stanford lecturer, to discuss current AI pricing models, their limitations, and what comes next. Maciej is a PhD, VC partner, and pricing expert with 20+ years in strategy, sales, and monetization. He advises founders on value capture, teaches at Stanford Graduate School of Business, and co-authored Pricing Decoded. He blends data, psychology, and practical frameworks to turn pricing into a growth engine for tech and SaaS. In this episode, we discuss: → Why AI challenges the traditional SaaS model (cheap to build, expensive to run) → The “Token AI” consumption model and its limitations → The potential threat of economic collapse → Business models that will actually work in the future → How subsidies and capital burn are distorting the market → Output vs. outcome-based pricing → Hybrid pricing models and the future of AI pricing Be sure to follow us to get the latest information, and schedule a meeting with us through our website!

Current AI coding models: token-burning machines focused on outputs, not outcomes Maciej Kraus of Movens Capital joined us on Code x Connor this week to discuss current AI pricing models, their limitations, and what comes next. Maciej is a PhD, VC partner, and pricing expert with 20+ years in strategy, sales, and monetization. He advises founders on value capture, teaches at Stanford Graduate School of Business, and co-authored Pricing Decoded. He blends data, psychology, and practical frameworks to turn pricing into a growth engine for tech and SaaS. In this episode, we discuss: → Why AI challenges the traditional SaaS model (cheap to build, expensive to run) → The “Token AI” consumption model and its limitations → The potential threat of economic collapse → Business models that will actually work in the future → How subsidies and capital burn are distorting the market → Output vs. outcome-based pricing → Hybrid pricing models and the future of AI pricing Be sure to follow us to get the latest information, and schedule a meeting with us through our website!

The “Gym Member Paradox”: are AI companies actually making money from subscription plans? Check out Code x Connor Episode 29 with guest Maciej Kraus, partner at Movens Capital and Stanford guest lecturer. Maciej is a PhD, VC partner, and pricing expert with 20+ years in strategy, sales, and monetization. He advises founders on value capture, teaches at Stanford Graduate School of Business, and co-authored Pricing Decoded. He blends data, psychology, and practical frameworks to turn pricing into a growth engine for tech and SaaS. In this episode, we discuss: → Why AI challenges the traditional SaaS model (cheap to build, expensive to run) → The “Token AI” consumption model and its limitations → The potential threat of economic collapse → Business models that will actually work in the future → How subsidies and capital burn are distorting the market → Output vs. outcome-based pricing → Hybrid pricing models and the future of AI pricing Be sure to follow us to get the latest information, and schedule a meeting with us through our website!

CIOs hate per-seat pricing for AI solutions, but what’s the alternative? Check out Code x Connor, we’re joined by Maciej Kraus, partner at Movens Capital and Stanford lecturer, to discuss current AI pricing models, their limitations, and what comes next. Maciej is a PhD, VC partner, and pricing expert with 20+ years in strategy, sales, and monetization. He advises founders on value capture, teaches at Stanford Graduate School of Business, and co-authored Pricing Decoded. He blends data, psychology, and practical frameworks to turn pricing into a growth engine for tech and SaaS. In this episode, we discuss: → Why AI challenges the traditional SaaS model (cheap to build, expensive to run) → The “Token AI” consumption model and its limitations → The potential threat of economic collapse → Business models that will actually work in the future → How subsidies and capital burn are distorting the market → Output vs. outcome-based pricing → Hybrid pricing models and the future of AI pricing Be sure to follow us to get the latest information, and schedule a meeting with us through our website!

The seismic shift in tech pricing: cheap to build with AI, but expensive to run This week on Code x Connor, we’re joined by Maciej Kraus, partner at Movens Capital and Stanford lecturer, to discuss current AI pricing models, their limitations, and what comes next. Maciej is a PhD, VC partner, and pricing expert with 20+ years in strategy, sales, and monetization. He advises founders on value capture, teaches at Stanford Graduate School of Business, and co-authored Pricing Decoded. He blends data, psychology, and practical frameworks to turn pricing into a growth engine for tech and SaaS. In this episode, we discuss: → Why AI challenges the traditional SaaS model (cheap to build, expensive to run) → The “Token AI” consumption model and its limitations → The potential threat of economic collapse → Business models that will actually work in the future → How subsidies and capital burn are distorting the market → Output vs. outcome-based pricing → Hybrid pricing models and the future of AI pricing Be sure to follow us to get the latest information, and schedule a meeting with us through our website!

Burning tokens for the sake of burning tokens is a massive waste of money CodeStrap’s "Code x Connor" Episode 29 with guest Maciej Kraus, partner at Movens Capital and Stanford lecturer. Maciej is a PhD, VC partner, and pricing expert with 20+ years in strategy, sales, and monetization. He advises founders on value capture, teaches at Stanford Graduate School of Business, and co-authored Pricing Decoded. He blends data, psychology, and practical frameworks to turn pricing into a growth engine for tech and SaaS. In this episode, we discuss: → Why AI challenges the traditional SaaS model (cheap to build, expensive to run) → The “Token AI” consumption model and its limitations → The potential threat of economic collapse → Business models that will actually work in the future → How subsidies and capital burn are distorting the market → Output vs. outcome-based pricing → Hybrid pricing models and the future of AI pricing Be sure to follow us to get the latest information, and schedule a meeting with us through codestrap.com!

Episode 29 is live! CodeStrap’s CxC Ep29: “The Dilemma of AI Pricing” with Maciej Kraus from Movens Capital. Maciej is a PhD, VC partner, and pricing expert with 20+ years in strategy, sales, and monetization. He advises founders on value capture, teaches at Stanford Graduate School of Business, and co-authored Pricing Decoded. He blends data, psychology, and practical frameworks to turn pricing into a growth engine for tech and SaaS. youtu.be/F5cEoFXIylI

Governance should be a foundational concept from Day 1 This week on Code x Connor, we’re joined by Jarek Sobanski of Swiss Re to discuss managing complexity at scale, how Foundry enables a data-connected enterprise, and where AI is actually driving business impact. Jarek leads Data Platforms Architecture at Swiss Re—a Global Fortune 500 company and the world’s largest reinsurer—guiding a team that designs and scales enterprise data and AI ecosystems. With expertise in AI, analytics, distributed computing, and four years working hands-on with Palantir Foundry and AIP, he focuses on turning complex data landscapes into practical business solutions. In this episode, we discuss: → Swiss Re’s journey scaling Foundry across thousands of users and hundreds of applications → Why data governance is essential for scaling enterprise AI platforms → How business teams can build their own apps and AI workflows → The role of IT centers of excellence and “tiger teams” in early platform adoption → Why most enterprise AI value comes from unstructured data like contracts and claims → The shift from traditional NLP programs to modern large language models → How organizations should rethink processes in an AI-enabled world → The limitations of current AI systems—and why human expertise still matters Be sure to follow us to get the latest information, and schedule a meeting with us through codestrap.com!

You should never reinvent governance policies for internal platforms Check out Code x Connor Episode 28 with guest Jarek Sobanski of Swiss Re — a Global Fortune 500 company and the world’s largest reinsurer. Jarek leads Data Platforms Architecture at Swiss Re, guiding a team that designs and scales enterprise data and AI ecosystems. With expertise in AI, analytics, distributed computing, and four years working hands-on with Palantir Foundry and AIP, he focuses on turning complex data landscapes into practical business solutions. In this episode, we discuss: → Swiss Re’s journey scaling Foundry across thousands of users and hundreds of applications → Why data governance is essential for scaling enterprise AI platforms → How business teams can build their own apps and AI workflows → The role of IT centers of excellence and “tiger teams” in early platform adoption → Why most enterprise AI value comes from unstructured data like contracts and claims → The shift from traditional NLP programs to modern large language models → How organizations should rethink processes in an AI-enabled world → The limitations of current AI systems—and why human expertise still matters Be sure to follow us to get the latest information, and schedule a meeting with us through codestrap.com!

Harnessing AI’s content summarization abilities to grow business Today on Code x Connor, we’re joined by Jarek Sobanski of Swiss Re to discuss managing complexity at scale, how Foundry enables a data-connected enterprise, and where AI is actually driving business impact. Jarek leads Data Platforms Architecture at Swiss Re—a Global Fortune 500 company and the world’s largest reinsurer—guiding a team that designs and scales enterprise data and AI ecosystems. With expertise in AI, analytics, distributed computing, and four years working hands-on with Palantir Foundry and AIP, he focuses on turning complex data landscapes into practical business solutions. In this episode, we discuss: → Swiss Re’s journey scaling Foundry across thousands of users and hundreds of applications → Why data governance is essential for scaling enterprise AI platforms → How business teams can build their own apps and AI workflows → The role of IT centers of excellence and “tiger teams” in early platform adoption → Why most enterprise AI value comes from unstructured data like contracts and claims → The shift from traditional NLP programs to modern large language models → How organizations should rethink processes in an AI-enabled world → The limitations of current AI systems—and why human expertise still matters Be sure to follow us to get the latest information, and schedule a meeting with us through codestrap.com!

Episode 28 is live! CodeStrap’s CxC Ep28: “AI & Data That Work at Enterprise Scale” with Jarek Sobanski from Swiss Re. Swiss Re is a Global Fortune 500 company and the world’s largest reinsurer. Jarek leads their leads Data Platforms Architecture team in designing and scaling enterprise data and AI ecosystems. youtu.be/mQ0zoAf5NEs

Why data platforms need governance officers to work Tomorrow on Code x Connor, we’re joined by Jarek Sobanski of Swiss Re to discuss managing complexity at scale, how Foundry enables a data-connected enterprise, and where AI is actually driving business impact. Jarek leads Data Platforms Architecture at Swiss Re—a Global Fortune 500 company and the world’s largest reinsurer—guiding a team that designs and scales enterprise data and AI ecosystems. With expertise in AI, analytics, distributed computing, and four years working hands-on with Palantir Foundry and AIP, he focuses on turning complex data landscapes into practical business solutions. In this episode, we discuss: → Swiss Re’s journey scaling Foundry across thousands of users and hundreds of applications → Why data governance is essential for scaling enterprise AI platforms → How business teams can build their own apps and AI workflows → The role of IT centers of excellence and “tiger teams” in early platform adoption → Why most enterprise AI value comes from unstructured data like contracts and claims → The shift from traditional NLP programs to modern large language models → How organizations should rethink processes in an AI-enabled world → The limitations of current AI systems—and why human expertise still matters Be sure to follow us to get the latest information, and schedule a meeting with us through codestrap.com!

Episode 27 is live! Codestrap’s CxC Ep 27: "AI in the News" featuring Dom Selvon & Tarek Nseir from Valliance. Valliance is an independent AI consultancy that combines deep expertise in data, AI, and enterprise transformation to help leaders solve complex business problems and move away from delivering simple pilots to real impactful deliveries with measurable outcomes. youtube.com/watch?v=j2kcAm…

Is Throwing “Guardian AI” at AI Security Threats Going to Fix Anything? Coming next week, Codestrap’s "Code x Connor" Episode 27 takes on AI in the News with guests Tarek Nseir and Dom Selvon of Valliance. Tarek is a serial entrepreneur who built one of Europe's leading digital transformation consultancies over 25 years, delivering landmark programmes for JK Rowling, the BBC, and LV Insurance. Dom is a founding figure of the composable architecture movement who has spent 27 years building flexible systems for brands including LEGO, IKEA, and Burberry. Valliance, their new company, is an independent AI consultancy that combines deep expertise in data, AI, and enterprise transformation to help leaders solve complex business problems and move away from delivering simple pilots to real impactful deliveries with measurable outcomes. In this episode, we discuss the latest headlines in AI: → The UK to rethink tech buying after Palantir contracts - The Register (bit.ly/4cu2bpZ) → Anthropic goes nude, exposes Claude Code source by accident - The Register (bit.ly/3QHT5yk) → ‘Guardian’ Apps Aim to Stop AI Agents From Going Rogue - The Information (bit.ly/4mwsz7d) Be sure to follow us to get the latest information, and schedule a meeting with us through codestrap.com!

Did Claude Code’s Source Code Leak Even Matter? discuss AI in the News. Tarek is a serial entrepreneur who built one of Europe's leading digital transformation consultancies over 25 years, delivering landmark programmes for JK Rowling, the BBC, and LV Insurance. Dom is a founding figure of the composable architecture movement who has spent 27 years building flexible systems for brands including LEGO, IKEA, and Burberry. Valliance, their new company, is an independent AI consultancy that combines deep expertise in data, AI, and enterprise transformation to help leaders solve complex business problems and move away from delivering simple pilots to real impactful deliveries with measurable outcomes. In this episode, we discuss the latest headlines in AI: → The UK to rethink tech buying after Palantir contracts - The Register (bit.ly/4cu2bpZ) → Anthropic goes nude, exposes Claude Code source by accident - The Register (bit.ly/3QHT5yk) → ‘Guardian’ Apps Aim to Stop AI Agents From Going Rogue - The Information (bit.ly/4mwsz7d) Be sure to follow us to get the latest information, and schedule a meeting with us through codestrap.com!

The UK Looks to Oust Palantir for Homegrown Solutions. Coming tomorrow: Codestrap’s "Code x Connor" Episode 27 takes on AI in the News with guests Tarek Nseir and Dom Selvon of Valliance. Tarek is a serial entrepreneur who built one of Europe's leading digital transformation consultancies over 25 years, delivering landmark programmes for JK Rowling, the BBC, and LV Insurance. Dom is a founding figure of the composable architecture movement who has spent 27 years building flexible systems for brands including LEGO, IKEA, and Burberry. Valliance, their new company, is an independent AI consultancy that combines deep expertise in data, AI, and enterprise transformation to help leaders solve complex business problems and move away from delivering simple pilots to real impactful deliveries with measurable outcomes. In this episode, we discuss the latest headlines in AI: → The UK to rethink tech buying after Palantir contracts - The Register → Anthropic goes nude, exposes Claude Code source by accident - The Register → ‘Guardian’ Apps Aim to Stop AI Agents From Going Rogue - The Information Be sure to follow us to get the latest information, and schedule a meeting with us through codestrap.com!

Episode 26 is live! CodeStrap’s CxC Ep26: “AI on the World Stage” featuring Jeff Hollan, Former Head of Cortex AI Agents and Snowflake Intelligence. youtu.be/Fy9RDOVP9EU

Specialized systems beat generalized solutions, an ensemble approach with specialized agents. What's important to Snowflake AI: make it simple and readily accessible with strong data foundations. CodeStrap's "Code and Connor" Episode 26 releases this week with our friend Jeff Hollan, Former Head of Cortex AI Agents and Snowflake Intelligence. Jeff led the product strategy for Snowflake Intelligence, Cortex Agents, Cortex Analyst, and Cortex Search. These core components of Snowflake Cortex AI empower developers, engineers, and data scientists to build powerful AI apps and agents alongside the world’s data and unlock insights with natural language. Prior to Snowflake, Jeff was Head of Product for Microsoft Azure’s PaaS and Serverless portfolio, where he was responsible for some of the most used and highest growth services in Azure, such as Azure Functions, Container Apps, App Services, and Static Web Apps. . Our 26th episode focuses on: → Snowflake’s goal to democratize AI for the enterprise → Should everyone be building AI solutions? → Snowflake Intelligence is GA - what is it, how is it different from traditional BI or copilots → Who is the operational user in the future for Snowflake → What it’s like to lead development of Snowflake Intelligence and Jeff’s learnings → Snowflake’s incorporation of AI into their own products → Snowflake recently announced $200 million partnership expansion with Anthropic. → The Arctic research team at Snowflake and their involvement with SLMs → Multimodal AI, interoperable agents and the future of enterprise AI → Snowflake's competitive differentiators Be sure to follow us for the latest updates, and feel free to reach out to the team at Codestrap.