Operational Risk

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Article · 6 min read

What Happens When Operational AI Stops Making Decisions

When AI is embedded in an operational transaction flow, its unavailability is not an IT incident. It is an operational event with immediate financial, customer, and regulatory consequences. Most AI governance frameworks specify what the AI should decide. Very few specify what happens when it cannot.

18 Feb 2026 Operational Risk IBM Z

Article · 5 min read

The Operational Risk Nobody Is Booking: Why Model Degradation Belongs on the Risk Register

Model degradation is a financial risk with quantifiable exposure. When a fraud model's detection rate falls by two percentage points, the missed fraud volume multiplied by average transaction value is a number. Most enterprise risk registers do not have a line item for it. The exposure is accumulating regardless.

4 Nov 2025 Model Risk Operational Risk

Whitepaper · 13 min read

The Evolution of Fraud and the Need for Real-Time, Layered Defence

A strategic framework for modern fraud detection in financial services. Fraud has evolved from isolated anomalies into coordinated behavioural and relational patterns that traditional architectures were never designed to manage. Addressing this requires a shift toward intelligence-driven detection aligned with how fraud actually behaves.

1 Nov 2025 Fraud Detection AI Strategy

Article · 5 min read

The Latency-Trust Equation: Why Response Time Is a Governance Decision, Not a Technical One

In real-time operational AI, latency is not a performance metric. It is a governance architecture constraint. The speed at which an AI system must decide determines what oversight is physically possible. Most enterprises treat latency as a technical specification and governance as a separate workstream. At transaction speed, they cannot be separated.

7 Apr 2025 AI Governance Transactional AI