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.
