I am a Fellow of the ICAEW, a Registered Auditor and Partner at Sygma Chartered Accountants, with more than twenty years' experience across accountancy, audit, tax, financial statements, finance systems, business advice and professional review. I have been involved with, advised and prepared financial information for more than 1,000 businesses. I am now applying that experience to AI testing and evaluation, particularly where finance-domain knowledge, critical judgement and real-world business context matter.
My career has been built around preparing and reviewing accounts and financial statements, applying extensive tax knowledge, auditing financial information, advising businesses, making decisions from imperfect evidence and taking responsibility for the quality of professional work. That makes AI evaluation a natural extension of skills I already use every day.
Extensive experience preparing and reviewing accounts, financial statements and financial information, together with tax, audit, controls, evidence, materiality and professional judgement. I have worked with and advised more than 1,000 businesses across my career.
Advising finance teams and owner-managed businesses, implementing finance software and systems, improving workflows and helping people adopt technology without creating unnecessary complexity.
Years of advising directors and organisations means understanding the decision behind the question, explaining trade-offs clearly and recognising when technically correct advice is not commercially useful.
Audit and senior accountancy work are built around challenge. Does the evidence support the conclusion? What has been omitted? Are the assumptions reasonable? Is the explanation internally consistent? Would I be comfortable relying on this output in the real world?
Those are fundamentally useful questions when evaluating AI systems, especially in finance and professional-services use cases.
Used to testing claims against evidence, reconciling inconsistencies and probing what sits behind a conclusion.
Comfortable identifying where a process can go wrong, what needs oversight and where human review still matters.
Experienced in explaining complex findings to clients, teams and decision-makers in straightforward language.
I care whether a system is useful, trusted and practical — not simply whether it can produce an impressive demo.
I use and test AI extensively in practice, build AI-enabled workflows and tools, and am developing a deeper specialism in AI governance, assurance and implementation. The point is not to present myself as a machine-learning engineer; it is to bring senior domain expertise and professional judgement into AI work where those qualities are valuable.
Assess outputs, identify weak reasoning, test difficult or ambiguous prompts, review finance-domain accuracy and provide structured feedback that improves model quality.
Useful where models are being trained or tested on accounting, tax, financial statements, financial reporting, audit, controls, business advice or wider professional-services scenarios.
Experience implementing software and improving finance processes means I naturally look at usability, adoption, human oversight and whether the technology actually makes the work better.
I am interested in AI testing, evaluation and expert-review opportunities, particularly where accounting, tax, financial statements, audit, finance or professional judgement are relevant. Flexible, project-based and part-time work is particularly suitable.
