As AI systems move from passive tools to autonomous agents, the risk landscape transforms: algorithmic bias, model drift, hallucination and cascading automated decisions. We build the governance and resilience that let boards authorise AI with confidence.
AI governance and resilience is the discipline of wrapping accountable oversight around intelligent systems at every layer, from model behaviour through system integration and process lifecycle to board level risk appetite, so that an organisation's adoption of AI remains aligned with regulatory mandates, including the EU AI Act and ISO 42001, and with its own values.
The shift toward agentic AI and large language models introduces systemic risks that traditional frameworks are ill equipped to handle: bias, model collapse and drift, hallucination, and the unforeseen cascading effects of automated decision making. The goal is no longer AI safety in a narrow technical sense but AI operational resilience in a strategic one: robust governance models and an organisational culture that oversees the technology, not the code alone.
We serve as the bridge between innovation and stability, moving organisations from fragmented, ad hoc AI projects to a centralised, transparent operating model in which every application has a designated owner, high risk deployments can be intervened in, and assurance flows upward as reliably as authority flows down.
Because AI risk is emergent and fast moving: probabilities are genuinely unknowable, model behaviour changes after deployment, and controls are immature. Probability times impact scoring produces false comfort; measuring exposure and decision confidence separately reveals the real position.
The international standard for AI management systems: the governance structure through which an organisation develops, deploys and operates AI responsibly, covering roles, risk, lifecycle controls and continual improvement. Our frameworks are designed to align with it and with the OECD AI principles.
Our governance frameworks are built with the AI Act's risk based logic in mind: classifying use cases, documenting high risk systems, human oversight and post market monitoring. We keep clients current as the Act's obligations phase in and guidance evolves.
Third party AI is often the largest exposure: cloud models, embedded features and upstream data practices you do not control. We audit vendor governance, embed contractual protections and assess concentration risk, the same discipline DORA applies to ICT providers.
Both, deliberately. Ethical guardrails without operational resilience fail in production; resilience without values fails in public. The framework institutionalises trust: regulatory alignment, tested reliability and a culture that catches what the controls miss.
Our proprietary decision centric operating model: exposure and decision confidence measured separately, for the board.
From risk universe to governed risk: identification, stress aware assessment, owned treatment and live monitoring.
The risk you inherit from suppliers and shared platforms: mapped, assured, contracted and exercised, per ISO 28000, NIS2 and DORA.
Confidentiality, integrity and availability protected through a living ISMS aligned to ISO 27001.
Beyond prevention: the capacity to withstand, respond and recover while essential services keep running.
From scope determination to Article 21 measures and 24 hour reporting readiness under Directive (EU) 2022/2555.
The five pillars of Regulation (EU) 2022/2554 implemented for financial entities and their critical ICT providers.
The structure above the plans: risk, continuity, crisis, cyber and people on one governed foundation, per ISO 22316.
BIA, ISO 22301 aligned strategy, plans and validation: a continuity programme built to survive contact with a real disruption.
Doctrine, structures and communications that contain the peak and shorten the recovery, anchored on ISO 22361.
Tabletop, functional, cyber and full scale exercises that prove the plans and evidence ISO 22301, NIS2 and DORA.
The Airport Resilience Framework: five domains as one operating model across the aerodrome, powered by the 7A engine, in commercial, freight and business aviation editions.
Ask us for an AI governance assessment; you will see every deployment mapped to an owner, a risk position and a decision.
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