AI-enabled Risk Consulting

Use AI as an accelerator, not an authority

We use AI-enabled workflows selectively to reduce repetitive work and surface patterns faster. Regulatory judgement, challenge and final outputs remain expert-led.

Document reviewStructure large policy, framework and evidence sets for targeted expert review.

Gap assessmentAccelerate mapping of requirements, evidence, ownership and missing controls.

Data explorationUse analytical tooling to identify anomalies, patterns and reconciliation questions.

Drafting & synthesisCreate clearer first drafts, action logs and structured summaries for expert refinement.

Repeatable checksAutomate selected consistency and completeness checks where appropriate.

Human validationSenior review remains responsible for interpretation, challenge and conclusions.

AI supports analysis; it does not make regulatory judgements or replace accountable human review. Use is tailored to client confidentiality, data-handling and governance requirements.

Regulatory change analysisStructure new rules, compare requirements and identify affected frameworks.

Controls mappingMap obligations, risks, controls, evidence and ownership more efficiently.

KRI & MI developmentAnalyse data patterns, thresholds and reporting structures for senior management.

Policy gap analysisCompare policies, procedures and evidence against target-state requirements.

Data-quality interrogationSurface anomalies, inconsistencies, reconciliations and potential control breaks.

Scenario developmentAccelerate scenario libraries, assumptions, sensitivities and structured challenge.

Risk taxonomy analysisIdentify duplication, gaps and inconsistent classification across risk inventories.

Documentation accelerationCreate clearer first drafts while preserving expert review and accountability.

Where AI can accelerate delivery

AI governance & regulatory readiness

For firms deploying or procuring AI, we can help establish proportionate governance across use-case inventory, ownership, risk classification, data and model controls, human oversight, third-party risk, incident management, monitoring and evidence. For EU-facing activities, this can include readiness work against applicable EU AI Act obligations and implementation timelines.

AI inventory & classificationMap systems, use cases, ownership, criticality and applicable risk categories.

AI risk & control frameworkPolicies, approvals, testing, monitoring, human oversight, records and escalation.

Third-party AI riskDue diligence, contractual controls, data considerations, monitoring and concentration.

EU AI Act readinessImpact assessment and control mapping for obligations relevant to your role and use cases.

Confidentiality comes first

Any AI-enabled workflow should be designed around the client's data classification, confidentiality requirements, policies and approved tooling. Where AI is not appropriate, we do not use it.