AI Investment Assurance
Pre-Commitment Capital Discipline
AI investments often fail not because models lack technical capability, but because the organisation wasn't ready to absorb the change. Our Investment Assurance framework evaluates whether your AI roadmap is economically sound and operationally sustainable before capital is committed at scale.
Portfolio Discipline
Alignment of AI spend with actual business value drivers and risk appetite.
Maturity Benchmarking
Assessing the "AI readiness" of the technical and human infrastructure
Exit & Pivot Strategy
Defining clear "kill-switches" and success metrics for high-stakes projects.
Assurance Outcome
"Can we invest in AI with confidence—and how do we prove that?"
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Identification of untested critical business assumptions.
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Governance maturity based on current progress vs industry peer data.
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Investment decision framework with explicit gates.
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Capital preservation through structured portfolio discipline.
Executive Deliverable
Moving beyond theoretical governance. We provide the forensic technical and financial assurance required to secure your AI investments and operational stability.
AI potential into
AI performance
Operational Discipline
for Enterprise AI
GLOBAL BOARD ASSURANCE
AI Failure Path Mapping (AI-FPM)
Operational Fragility Containment
The risk profile shifts as companies integrate AI. It is no longer just about external attacks; it is about the fragility of internal complexity. AI-FPM reveals how minor technical failures cascade into systemic operational and executive crises.
Cascade Analysis
Mapping how one corrupted data source can break ten downstream processes.
Circuit Breaker Design
Implementing automated and human triggers to halt AI actions during volatility.
Regulatory Breach Prevention
Stress-testing AI models against SM&CR and Duty of Care requirements.
Assurance Outcome
"Where can AI fail and how do we detect, prevent, and contain it?"
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How component failures cascade into regulatory breaches.
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Map of circuit breakers with highest impact.
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Action plans for implementing remedial actions.
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Incident playbooks for operational resilience.
Operational Playbook
AI Cognitive Resilience
Institutional Intelligence Continuity
As AI systems become embedded in core workflows, organisations are externalising institutional knowledge into AI environments. We measure exactly what knowledge lives inside your AI and what it would cost to recreate it if lost.
Knowledge Loss Mapping
Quantifying the erosion of human skills as they are offloaded to AI.
Dependency Concentration
Identifying "Key-AI Risk" similar to Key-Person Risk in traditional finance.
Reconstitution Costing
Auditing the financial impact of a prolonged AI outage on core business cognition.
Assurance Outcome
"What intelligence are we externalising into AI and can we survive without it?"
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Where institutional knowledge has migrated into AI systems.
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Cognitive dependency concentration and single points of failure.
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Maximum tolerable cognitive downtime and loss.
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Board reportable intelligence loss measures.
Executive Deliverable