Governance needs a system of record.
HumanWox was built to help organisations maintain connected accountability across AI systems, risks, evidence, decisions, reviews, and operational change.
AI governance is increasingly operational, continuous, and system-dependent.
As organisations deploy more AI systems, governance activity becomes harder to reconstruct across teams, reviews, evidence, decisions, and framework requirements. The record of who decided what, on what basis, against which obligation, with what evidence, becomes fragmented across spreadsheets, ticketing tools, slide decks, and inboxes.
HumanWox was built to maintain one connected accountability record behind AI systems over time — a record that survives audits, procurement reviews, organisational change, and the next framework revision.
Most governance approaches organise around documents. HumanWox organises around systems.
Policies and controls describe intent. Documents describe a moment. Neither survives the operational reality of running AI systems over years. HumanWox treats each AI system as the unit of accountability and connects every governance object back to it.
Built for operational continuity.
HumanWox is designed for governance activity that remains usable across audits, procurement reviews, investigations, organisational change, and evolving frameworks. The record is engineered to outlast the tools, teams, and obligations that produced it.
Six principles shape how the platform is designed and how it is operated.
Every record — risk, control, evidence, decision, review — is anchored to a specific AI system, not filed against a policy.
Entities link to each other so the full chain behind any AI system can be reconstructed at any point in time.
Governance is treated as recurring operational work, not a one-time documentation exercise.
Owners, statuses, obligations, and review cycles are visible across the AI estate, not buried in folders.
ISO 42001, the EU AI Act, NIST AI RMF, and DSIT obligations overlay the same underlying record — not parallel silos.
Records remain usable across reorganisations, framework changes, vendor migrations, and staff turnover.
Governance becomes credible when the record behind it can be reconstructed without the people who produced it. The platform exists to make that record durable.
A defined operating boundary, kept deliberately narrow.
- +An AI Governance System of Record
- +Operational infrastructure for accountability
- +A framework overlay across ISO 42001, EU AI Act, NIST AI RMF, DSIT
- +Designed for multi-year continuity
- +Built around AI systems as the unit of record
- −A model evaluation or red-team tool
- −An MLOps or model monitoring platform
- −A policy document repository
- −A consulting deliverable
- −A point-in-time compliance certification
Start building record for your AI Systems.
One connected structure for systems, risks, evidence, reviews, decisions, and accountability activity across the organisation.