AI Governance Architecture
We define how AI is allowed to act on your behalf before compliance, scale & incidents.
Most organisations deploy AI without explicitly defining what it may do, what it must never do, and when human authority is required.
We create governance specifications that make those decisions explicit, defensible, and enforceable.
AI acts on your behalf. The decisions about how it acts should be yours.
Architect your AI governance with our 3-Stage Roadmap
Stage 1: Establish
We establish a clear view of how AI is currently used or planned across the organisation, and where intent, authority, and accountability must be defined before deployment or scale.
Stage 2: Define
We produce a formal governance specification that defines how AI is allowed to behave, including purpose, boundaries, escalation, ownership, and human oversight. Usable across product, engineering, brand, legal, & assurance teams.
Stage 3: Align
We support teams in aligning around the governance architecture so it can be used in practice and serve as a foundation for future compliance and assurance activity.
Governance expertise rooted in standards and practice.
Upstream of Compliance
ISO 42001 requires organisations to demonstrate defined AI purpose, boundaries, roles, and oversight. But standards don't tell you how to make those decisions.
We create the governance artefact those frameworks assume exists before auditors, regulators, or incidents force the question.
Clear Boundaries
We design governance specifications. We do not build AI systems, provide technical implementation, offer compliance certification, or create monitoring tools. We define how existing AI systems are allowed to behave, the governance layer that sits above technical implementation.
Governance Expertise
MIT Applied Generative AI Technical fluency in AI systems and capabilities.
ISO 42001 Lead Implementor AI Management Systems governance framework expertise.