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    AI-Enabled Risk Function.

    From colour-coded heatmaps to quantified exposure, with controls, incidents and scenarios on one shared record.

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    APPLICABLE FRAMEWORKS · EU AI Act · GDPR · NIS2 · DORA
    § 01the assessment

    Risk assessment with AI in the loop, and evidence at every step.

    Risk functions are asked for numbers and answer with colours. We rebuild the register around quantified exposure, distributions, value-at-risk and loss-exceedance curves, fed continuously by incidents, audit findings and supplier data.

    Controls are consolidated so a single test satisfies every framework that depends on it, and reporting is generated rather than assembled.

    key benefits
    Monetary exposure the CFO recognises
    One control tested once, mapped to every framework
    Scenario models re-run on demand with versioned assumptions
    Committee reporting generated from live data
    § 02what we can do

    The work, itemised.

    01Risk taxonomy and register redesign
    02Quantification model design and calibration
    03Control library consolidation and cross-framework mapping
    04Scenario and stress-testing framework
    05Incident and loss data capture feeding exposure estimates
    06Committee and board reporting automation
    § 03why work with us

    Practitioners, not a methodology

    Partners with fifteen-plus years post-qualification who have run these functions at group level.

    We did it to ourselves first

    We rebuilt our own firm around AI and shipped Pritect out of it, so the argument is tested on our own P&L.

    Gated, not open-ended

    Three phases and two decision gates. Nothing is committed beyond the phase in progress.

    Measured in board language

    Cost avoided, cycle time reduced, work self-served, not licences deployed.

    § 04instructing us

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