Paul Williams is a cloud data and AI architect with 17 years of enterprise experience spanning financial services, healthcare technology, professional services, and enterprise SaaS. He co-founded Encephalon to adapt the Kimball requirements methodology he used for decades in data warehousing to solve the AI governance gap.
Co-Founder & CEO
Cloud Data and AI Architect
17 years building enterprise data systems — cloud warehouses, master data management, digital transformation. From enterprise SaaS platforms to global professional services, Paul has designed and shipped the data architectures that large organizations actually run on. He co-founded Encephalon to solve the problem he kept seeing: organizations adopt AI tools without encoding the institutional knowledge those tools need to be useful.
I start every engagement the same way: with the business requirements. Not the technology, not the architecture diagram, not the vendor pitch — the actual problem the business needs to solve. I've been doing this for 17 years and the pattern never changes. When you lead with requirements, the right architecture reveals itself. When you lead with technology, you end up rebuilding it in two years.
That mindset is how I ended up building Enterprise Intelligence. I spent years watching organizations pour money into data platforms and AI tools without encoding the institutional knowledge those tools need to actually work. The business requirements were always the same: consistency, governance, knowledge retention. The technology just wasn't solving for them. So we built something that does.
The Resume
Data Architect
Lead Data Architect
Business Intelligence Manager / Lead Data Architect
Principal BI Architect
Data Architect
Senior Systems Architect / Data Team Lead
30-minute discovery call with Paul and the founding team. We'll walk through how Enterprise Intelligence fits your stack and your team.