DOS Design Studio
Project delivery and documentation in complex built environments — the operational foundation behind everything I now build with AI.
The work
Before building AI products, I led design and project delivery across public-sector, healthcare, heritage, hospitality and commercial environments. These are settings where evidence, governance, documentation and stakeholder trust aren't optional extras — they are the job.
Every project meant turning briefs, constraints and competing stakeholder needs into coordinated delivery and a paper trail that had to survive scrutiny.
Inputs
- Client briefs
- Consultant information
- Site constraints
- Budgets
- Stakeholder requirements
- Delivery updates
Output
- Coordinated project delivery
- Project documentation and reports
- Presentations and schedules
- Handover materials
- Stakeholder decisions
Why it matters to the AI work
This is where I learned the operational reality behind evidence, trust, delivery, governance and documentation — the exact problems SlipMind, Bildeasy and Ledger & Lease now tackle with AI. I'm not applying AI to domains I've read about; I'm applying it to workflows I've actually run.
What I learned
Documentation isn't admin — it's the substance of trust in regulated, multi-stakeholder work. A decision that isn't recorded, sourced and reviewable effectively didn't happen. That conviction is exactly why my AI products treat the record, not the conversation, as the unit that matters.