Who I work with
I help business owners, managers and the professionals who advise, assess or oversee them understand the hidden artificial intelligence embedded inside everyday software. When AI features arrive bundled into standard office applications, CRM platforms, and communication tools, they introduce complex operational questions that standard IT reviews often miss.
My independent, plain-English research cuts straight through vendor marketing claims. I explain exactly what these background features can access across your files and correspondence, what automated actions they are capable of performing on your behalf and who within your organisation is ultimately responsible for checking their work before relying on the outcome.
Business owners, small businesses and sole traders
Business owners, small businesses and sole traders often adopt AI without a conscious purchasing decision arriving bundled inside everyday email, accounting and communication tools.
- What businesses face: AI features that read customer messages, process payroll, summarise documents, and execute automated tasks—frequently with model training switched on by default.
- What I examine: I break down what these hidden tools can access, what your actual administrative settings control and what needs checking before you rely on automated recommendations.
Read more about plain-English AI explanations for businesses
Lawyers
Legal professionals advising clients on commercial agreements, compliance and dispute resolution need clear lines of accountability when automated systems make mistakes.
- What legal practice faces: Client confidentiality risks, cross-boundary data disclosures, automated decision-making exposure and unverified contractual assumptions regarding AI model training and data retention.
- What I examine: I provide independent analysis on information access, permission models, privilege boundaries and the specific evidence required to review, challenge or correct an AI-driven decision.
Insurers
Insurers, underwriters, brokers and loss adjusters evaluating business risk must understand how hidden operational dependencies affect claims and business continuity.
- What insurance review faces: Operational vulnerabilities tied to vendor lock-in, shadow AI adoption, unexpected data sharing and what happens when an essential AI service changes, fails or is abruptly withdrawn.
- What I examine: I connect AI capabilities with tangible risk exposure, evaluating the records available after an incident and how a business can maintain continuity when upstream dependencies break.
Consultants & Auditors
Advisory and audit teams tasked with assessing client systems need structured, rigorous frameworks to inventory and verify technical controls in practice.
- What audit & advisory faces: Fragmented administrative settings, compliance gaps under GDPR accountability principles and the wide gap between provider marketing promises and actual account configurations.
- What I examine: I deliver detailed briefings on capability scopes, data pathways and testing procedures, helping advisory teams ask precise questions and explain their findings with confidence.
Regulators & Public Bodies
Regulators, ombudsmen and public sector bodies examining systemic digital impacts require transparent and inspectable standards for algorithmic accountability.
- What public oversight faces: Opaque automated workflows, loss of human oversight, uneven cross-border data protection enforcement and difficulties tracing how an AI-generated outcome was reached.
- What I examine: I analyse the specific roles AI systems play in administrative workflows, what human intervention actually entails and what documentary evidence is necessary to question an outcome.