Albert Franquesa

Albert Franquesa is Chief of Strategy and Board Member at Quality Clouds, the code governance platform for enterprise development teams, founded in 2017. He started as a software developer at IBM in the mid-1990s, then moved through analyst and project management roles at Deutsche Bank and delivery leadership at GFT Group, so he has seen code reach production from both the engineering and the delivery side. Today his focus is what happens when AI-generated code lands in production at scale. He builds automated quality gates, audit trails and certification for code written by humans and AI tools, used across Salesforce and ServiceNow in Fortune 500 organisations. At TechLead, he'll share how tech leads can adopt AI coding tools without losing control of quality, security or architecture, and how to keep systems from getting more complex with every AI-assisted change.

Quality Clouds, Spainalbertfranquesa

Control, Evidence, Trust: Leading Teams When AI Writes the Code

TechLead Conf London 2026: Adopting AI in Orgs Edition

Upcoming

Control, Evidence, Trust: Leading Teams When AI Writes the Code

AI assistants now write a growing share of the code your team ships, but most review processes and quality gates were designed for human authors. Reviewing more code faster isn't a strategy. In this lightning talk, Albert Franquesa introduces Control, Evidence, Trust, a simple model for leading teams through this shift: enforce your standards before code is written, measure what AI actually contributes and what it gets wrong, and use that evidence to decide where agents can safely do more and where humans must stay in the loop. Trust in AI code isn't a feeling. It's earned with control and proven with evidence.

artificial intelligence