Standards
ISO/IEC 23894:2023
Guidance on how organisations manage risk specific to artificial intelligence — the discipline behind every deployment we run inside your walls.
AI risk management
What it is
ISO/IEC 23894 provides guidance on managing risk connected to the development and use of AI. It shows how to fold AI-specific risks — such as bias, opacity, data quality, drift and misuse — into an organisation’s existing risk-management processes, following the structure of ISO 31000.
Why it matters for private AI
AI creates categories of risk that traditional software does not: a model can be confidently wrong, can reflect bias in its training data, or can degrade quietly as the world changes. For a system deployed against your most sensitive data, those risks have to be identified and treated deliberately, not discovered in production.
ISO/IEC 23894 gives us a consistent, defensible method to do exactly that — so the risks of each private AI use case are named, assessed and mitigated before they reach the people who rely on the answers.
How AgoActum applies it
- A documented AI risk assessment for every use case, covering data, model and human-oversight risks.
- Risk treatment built into the platform — retrieval grounding, guardrails, evaluation and human-in-the-loop review.
- Continuous monitoring for accuracy, drift and misuse, with risks re-assessed as the system and its context change.
Compliance. AgoActum’s private AI solution is designed and operated to comply with ISO/IEC 23894:2023. It is one of five ISO/IEC standards that together govern how we manage AI risk, ensure ethical use and support legal compliance.
See our standards & complianceGovernance you can evidence
See how our private AI solution puts these standards to work on your own data — securely, and with your team in control.