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    AI-Enabled Internal Audit & Assurance.

    From annual sampling to continuous, evidence-led assurance, with the audit trail generated as work happens.

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

    Internal audit with full-population testing instead of sampling.

    Internal audit is constrained by the hours available to read documents. Where the data allows, we move testing from sample to population and let the auditor spend their judgement on the exceptions.

    Working papers and source references are generated as work proceeds, so the audit trail is a by-product rather than a separate exercise.

    key benefits
    Risk-weighted planning drawn from real organisational data
    Full-population testing where the data allows
    Consistent working papers and finding severity
    One assurance map across all three lines
    § 02what we can do

    The work, itemised.

    01Risk-weighted audit planning from operational data
    02Full-population testing design where data permits
    03Working paper standardisation and automation
    04Finding severity framework and report drafting standard
    05Action tracking with evidence at closure
    06Assurance mapping across the three lines
    § 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

    Ready to discuss ai-enabled internal audit & assurance?

    Get in touch with our team to learn how we can support your organisation.

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