Controls built in, not bolted on
Govern by design so useful AI can scale responsibly.
AI systems can affect customers, employees, business decisions and regulated processes. The appropriate control therefore depends on what the system is allowed to do.
The EU AI Act's broad application and Article 50 transparency obligations began to apply on 2August 2026, with further high-risk obligations phased later under the current implementation timeline. European Commission AI Act Service Desk, current Sep 2026 implementation timeline
The government's Cyber Security Breaches Survey 2025/26 found 43% of UK businesses experienced a cyber breach or attack, rising materially for larger firms. UK Government / DSIT, 30 Apr 2026
Our view
An internal knowledge assistant is not the same risk as a system that influences credit, claims, pricing, employment or customer outcomes.
Governance should be proportional to the decision and embedded in the architecture.
What we do
Our responsible-AI approach addresses accountability, human decision rights, data, privacy, security, evaluation, model limitations, third parties, monitoring and incident response.
What you get
The objective is to create enough control for useful AI to scale without turning governance into theatre or allowing autonomy to outrun accountability.
Why North Axiom
We treat responsible AI as part of operating design because the same system can affect data, customers, employees, third parties and regulated decisions at once. The credibility comes from designing control alongside use, rather than adding governance after deployment.