Many organizations are investing in AI tools, but few are seeing measurable improvements in software delivery. In this webinar, Jeffrey Palermo introduces the AI Software Factory—an orchestration pattern that helps software leaders improve throughput by combining AI automation with quality, stability, and end-to-end visibility.
Through live demonstrations, you'll learn how AI can automate repetitive work, enrich planning and testing, streamline production incident response, and provide the metrics needed to measure delivery performance and AI ROI. The session also explores why quality and stability are essential before scaling AI and shares practical guidance for implementing AI in a way that supports long-term software delivery success.
Jeffrey Palermo, CTO & Chairman of Clear Measure, walks through the AI Software Factory pattern in this Austin .NET User Group presentation, an executive-level framework for orchestrating how software moves through an organization to increase throughput while keeping quality high.
The session makes the case that AI builds on top of good software delivery fundamentals, not around them. Teams still struggling with escaped defects, production instability, or an incomplete DevOps environment will not benefit from AI until those are solved.
Live demos cover automated production incident resolution, a software delivery scorecard with forecasting, and auto-generated architecture documentation pulled from source code. The core takeaway is that AI works best on easy, well-defined work. Start there, measure the impact, and let human judgment handle the rest.
Jeffrey Palermo, CTO & Chairman of Clear Measure, presented the AI Software Factory, an executive-level architectural pattern for orchestrating software delivery from idea to production. He opened by addressing a core problem: software delivery has become the constraint in most organizations, and teams can't simply work faster when defects and production incidents are constantly consuming capacity. Poorly engineered AI adoption doesn't solve this, it just ships bugs faster. The AI Software Factory is the next evolution following Agile, DevOps, and cloud adoption, orchestrating people, processes, and automation across the entire delivery lifecycle.
A key theme throughout was that visibility must come before automation. Using a live Kanban board demo and a real client project, Jeffrey showed how a weekly scorecard tracking throughput, mean time to delivery, escape defects, and production incidents reveals bottlenecks and process gaps that would otherwise stay hidden. From there, AI automation is introduced intentionally, starting with simple, low-risk tasks, and always measured against the scorecard to confirm real improvement. Clear Measure's goal is to help organizations build software delivery systems that safely exploit AI without destabilizing their business.
Hear directly from past attendees of Clear Measure's Advanced .NET Bootcamp — a 3-day, immersive in-person training taught by Jeffrey Palermo, designed for software engineers and architects who want to sharpen their skills and deliver better software, faster.
The bootcamp covers modern .NET architecture, DevOps practices, cloud transformation, application modernization, AI-driven development, and more — with hands-on exercises throughout each day. Ready to level up your team?
Learn more and enroll: https://clearmeasure.com/trainings/workshops/advanced-net-bootcamp/ Questions? Email us at info@clear-measure.com
