RESEARCH

Thesis, field notes, and operating research

Research is where we publish the deeper thinking behind Proofhouse: governance, readiness, failure analysis, and the operational conditions that make AI agent deployments trustworthy.

THESIS 0014 min read

The USMI Thesis

AI adoption does not usually stall because companies lack tools. It stalls when teams add speed before they have the context, visibility, and operational readiness to absorb it.

ThesisOperationsAI Adoption
FIELD NOTE 0025 min read

Why AI Adoption Fails in Operations

Most AI rollouts fail for boring reasons: fragmented context, weak ownership, poor workflow fit, and no clear way to tell whether the new system is improving the business or just adding noise.

Field NotesWorkflow DesignAdoption
RESEARCH NOTE 0035 min read

Governance, Readiness, and Trust in Growing Companies

Governance for growing companies should not read like enterprise bureaucracy. The real job is to create enough structure that AI can be useful, reviewable, and scalable without slowing the business to a halt.

GovernanceReadinessTrust
PLATFORM NOTE 0046 min read

The Proofhouse Platform

Proofhouse does not treat workflow context, readiness, failure learning, and governance as one monolithic capability. They are distinct jobs — tightly integrated through shared workflow context, but with clear boundaries.

ProofhouseTrustPlatform Architecture
CURRENTLY PUBLISHING EARLY PROOFHOUSE THESIS WORKMORE CASE NOTES, RESEARCH PAPERS, AND PRODUCT WRITING TO FOLLOW