We design operating systems where speed matters and mistakes are expensive — human accountability, agent execution, proof in every deliverable.
Led by Andy Woolterton. Two decades in enterprise architecture and AI strategy.
AI agents can execute tasks — but can they be trusted with consequential decisions? Most teams are stuck between chat demos that don't scale and automation that can't be audited.
We close that gap: governed agent systems that operate under explicit trust boundaries — with audit trails, human sign-off, and proof of every action.
Proof in the real world
After-Image · Live experiment
An in-progress experiment: building a luxury photography brand using NullProof's own framework. Multi-Clock Work handles strategy, governance, and back-office operations — freeing the founder to focus on client-facing creative work. Live, taking commissions.
Live experiment: governed creative operations, in progress.
Portfolio Exposure Radar · Insurance
Continuous intelligence for emerging risk. 13 source workflows monitoring regulatory, litigation, scientific, and market signals. Cross-referenced against client portfolios with automated scoring and agent-driven escalation.
Proves: insurance-grade signal monitoring under governance.
What we build
Governed agent systems
Enterprise AI agents that operate under explicit trust boundaries. Durable event queues, belief graphs, hallucination detection, three-stage validation with supervisor arbitration. Agent orchestration where the governance isn't bolted on — it's the architecture.
Insurance & risk infrastructure
Signal monitoring across regulatory, litigation, scientific, and market sources. Claims processing with FNOL routing. Portfolio exposure scoring. Built for brokers and underwriters who need to know what changed overnight.
Open-source tooling
en-quire — an MCP server for governed document editing and reliable agent memory. npm-installable, Docker-ready developer tools, running in production on this studio's codex. A gift to the agentic community.
From the Codex · Field Notes
Field notes from building agent systems in production. Not theory — operational decisions, trade-offs, and what we learned.
Curator's pick
A comparative analysis of the three dominant AI regulatory models as they stood in June 2026 — the EU's comprehensive law, the US's fragmented patchwork governed through existing authorities, and China's layered standards stack. All three trajectories converge on the same structural gap: compliance obligations are expanding while insurance coverage contracts, and model access has become subject to sovereign risk. Anchored by the 12 June 2026 US export-control directive that disabled Anthropic's Fable 5 and Mythos 5 for all customers globally, the brief argues that organisations — particularly firms subject to DORA — must treat inference as a switchable commodity, map AI providers as ICT third-party dependencies, and build multi-engine resilience against nationality-based access revocation.
Studio
Founder, Designer, and Chief Architect. Two decades in enterprise architecture, AI strategy, and creative systems design. Creator of the Multi-Clock Work framework for managing creative operations across time horizons.
Built the operating system that runs this studio. One human, governed AI agents, ninety days from zero to production. Live, taking commissions.
Proves: the studio runs on its own platform.
Human accountability. Governed agents. Proof in every deliverable.