Dan Hebda, who has spent more than two decades in enterprise software leadership including as VP at Bizzdesign and Chief Strategy Officer at MEGA International, has been appointed to the newly created Head of AI position. The role exists to make a specific argument: that without enterprise architecture as context, AI output is generic rather than decision-grade.
Bizzdesign, a Netherlands-based enterprise transformation SaaS company, has appointed Daniel Hebda as its first Head of AI. The appointment is internal — Hebda was previously Vice President of Bizzdesign — and the role spans customer engagement, product strategy, and AI adoption within Bizzdesign's own operations.
The thesis underlying the appointment is that the current phase of enterprise AI adoption is failing because AI tools are being deployed without the architectural context to make them useful for consequential decisions. Bizzdesign's existing product, Bizzdesign Unify, is its AI-native platform for transformation collaboration, and Hebda's role is to extend that into broader practice advisory and market development.
AI needs enterprise context to move from generic output to decision-grade insight. Enterprise architecture provides that context, while AI makes architecture more accessible and actionable for cross-functional teams shaping transformation. My focus is on helping our customers and partners bring AI and enterprise architecture together to make faster, better-informed transformation decisions,
The CEO framing acknowledged the risk that speed creates without that context in place. "AI is changing the speed and scale of enterprise transformation, but speed without context creates risk," said Bert van der Zwan, CEO, Bizzdesign. "Daniel Hebda's appointment strengthens our ability to help customers bring AI, architecture, portfolio insights, and governance together, so they can move faster while maintaining accountability and execution clarity."
For enterprise architecture practitioners, the appointment signals growing commercial interest in the EA-as-AI-governance framing — the idea that the discipline built around modelling organisational structure and dependencies is well-positioned to govern AI initiatives that cut across those same structures.
