Capabilities that modernise your assurance – plus two advisory lines that govern the tools you already have and turn stakeholder engagement into risk intelligence. Every engagement includes knowledge transfer, so your team owns what we deliver.
We design and build always-on control monitoring: data feeds from your source systems, blended and scored, with exception logic that surfaces breaches automatically and routes them to the right auditor – moving you from periodic samples to full-population coverage
Practical, governed LLM and vision AI across the audit lifecycle – document and policy review, risk assessment, fraud indicators, QA and reporting. We deploy it safely for regulated environments, with a human in the loop by design.
We automate the audit operating model – follow-ups, request management, incident summarisation and reporting – so your team spends its time on judgement, not admin. Built on the Microsoft and Alteryx stack you already run.
We reconstruct how a process actually runs from its event data – not how the flowchart says it does. Expose variants, rework loops and control gaps, and quantify the case for change with evidence, not anecdote.
Business-built Alteryx workflows, Power Automate flows, Power BI models and Python scripts now run critical processes – usually outside any formal development lifecycle. We review the estate for logic errors, hidden control weaknesses, key-person risk and missing documentation, and put the governance in place to keep it audit-ready. Assurance over the tools, not just building with them.
Audit teams meet the business on a schedule – but those meetings are often run ad hoc: sessions slip, notes never get written up, and the insight ends up scattered across individual notebooks and laptops. We build a single tracker for the whole relationship model – stakeholders, tasks, follow-ups and notes in one place – with an AI layer reading across the notes to surface emerging risks and recurring themes. It turns everyday stakeholder contact into a live input for audit planning and risk assessment: the soft-signal complement to continuous controls monitoring.