Turn AI risk signals into an account-management workflow

    Assess, prioritise, discuss, act and reassess. Use one consistent view of AI disruption risk across clients, prospects and portfolio companies.

    Assess a Priority Account View Features

    A repeatable way to discuss AI business-model risk

    AI risk management begins with a useful view of which companies merit attention. It is the practice of assessing business-model exposure, deciding who needs a conversation, recording the next action and returning to the assessment as circumstances change.

    For professional services firms, investors and advisers, the value is a consistent starting point for a client review or portfolio discussion. AI Risks supports the assessment stage, rather than replacing internal due diligence or strategic judgement.

    AI Risk Management Capabilities

    Portfolio Risk Overview

    See AI risk exposure across your entire client base at a glance. Identify concentrations and prioritise attention.

    Sector Benchmarking

    Compare client risk scores using the relevant industry sector baseline. Identify outliers who are more or less exposed than peers.

    Board-Ready Reporting

    Generate professional PDF reports with colour-coded risk indicators and detailed analysis for stakeholder presentations.

    Targeted Interventions

    Use risk scores to prioritise advisory services, training, or strategic interventions where they'll have the most impact.

    Who Benefits from AI Risk Management?

    Accountants & Advisors:Protect client relationships by proactively identifying AI risks and positioning advisory services
    Consultants & MSPs:Add AI risk assessment to your service offering and differentiate from competitors
    Private Equity & Investors:Screen portfolio companies and acquisition targets for AI disruption exposure
    Banks & Lenders:Incorporate AI disruption risk into credit analysis and portfolio monitoring
    Insurance Underwriters:Assess policyholder exposure to AI-driven business model risks

    Frequently Asked Questions

    How often should I reassess AI risk?

    We recommend annual reassessments for most portfolios, with more frequent reviews for high-risk sectors or during significant AI market developments.

    Can I integrate AI risk data into my existing systems?

    Yes, you can export all analysis data to CSV for integration with CRM, portfolio management, or reporting systems.

    How do you ensure assessment quality?

    Our assessments use real-time web search, sector-calibrated baselines, and structured scoring methodologies validated against industry expertise.

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