When I started this role (7 years ago), I could name every colleague, every customer, and every solution. Fast-forward to today: we're juggling hundreds of RFPs, technical solutions, and mounting process debt. The sheer scale of our growth came with a pressing challenge—how to manage complex, sensitive data and accelerate painfully long workflows.
Enter Project Einstein: my skunkworks experiment to revolutionise our operations using conversational AI. I set out to build a PoC that integrates confidential company information into a secure, user-friendly application. The goal? Speed up RFP creation, protect sensitive data, and eliminate inefficiencies.
My approach embraced inclusivity, business needs, and a design-thinking mindset to craft a solution that works across departments. From private AI labs to opinionated stacks and CNCF reference architecture, I’ll share how we built this tiny but impactful PoC that we have since released as a service.