Russell Parrott - Independent Author and Researcher | AI Governance for Business
Professional advisers are increasingly asked to explain AI-influenced decisions: why a customer was refused, how a claim was assessed, what data a system accessed, who reviewed the result, and what can be done if it is wrong.
The difficult part is rarely the technology. It is turning technical assurances, policies and vendor claims into a clear account that a client, customer, regulator or court can understand.
- What my work covers
- Research and practical explanations
- The wider question of AI governance
- Independence and approach
I do not build, sell or implement AI. I help advisers ask the questions that matter.
Much of my work begins with a practical problem: AI is increasingly built into everyday business applications, often without the people using those applications fully understanding what the technology does, what information it can access or what authority it has been given.
These capabilities can bring considerable benefits, from reducing routine work and improving customer communication to helping businesses analyse information and make decisions. But those benefits need to be understood alongside questions about control, responsibility, evidence and dependence on technology providers.
My aim is to make these issues understandable in plain English, so that businesses and the professionals working with them can ask better questions, examine the available protections and make informed decisions.
What my work covers
AI governance is not simply about whether an organisation has an AI policy or complies with regulations. It is also about what happens when AI is used in practice, who controls it and whether important protections can be demonstrated.
My writing examines questions such as:
- Benefits:What does an AI capability offer, who benefits and what are its limitations?
- Information:What can AI access, use, retain or share, and under whose authority?
- Control:Who decides which capabilities are available, what they are allowed to do and when they should be restricted?
- Responsibility:Who is accountable when AI contributes to an error, an unwanted action or a disputed decision?
- Evidence:What records are available to establish what happened, explain an outcome or challenge a decision?
- Continuity:What happens when a provider changes its technology, withdraws a feature or restricts access to an essential service?
These questions matter to sole traders and small businesses, but also to lawyers, insurers, accountants, auditors, consultants, public bodies and other professionals who must understand how their clients or organisations use AI.
Research and practical explanations
My research examines the AI capabilities already operating within familiar business services, including email, collaboration tools, social media, customer management systems and online commerce platforms.
Rather than treating AI as a separate technology that a business deliberately chooses to adopt, this work considers how it may already be present in the applications on which that business depends.
The resulting articles, explanations and briefings connect technical capabilities with everyday business concerns. They examine what provider documentation says, what controls are available, what those controls actually cover and which questions remain unresolved.
For professional audiences, the emphasis is on understanding the underlying issues well enough to hold informed conversations, identify matters requiring further examination and explain the implications to clients, colleagues or other affected parties.
The wider question of AI governance
My work also examines the relationship between AI governance, political power, commercial interests and geopolitics.
Governments and technology companies influence the rules, standards and infrastructure on which businesses increasingly depend. Their decisions can affect access to services, the protections available to users and the ability of organisations to obtain evidence or challenge outcomes.
This raises questions extending beyond the operation of an individual AI feature. Who sets the rules? Who can change them? What protections exist for organisations with little influence over their technology providers? And can those protections still operate when commercial or geopolitical circumstances change?
Alongside this analysis, I develop and publish original AI governance reference standards, tests and frameworks addressing control, accountability, traceability, independent oversight and business resilience.
The underlying principle is straightforward: important claims about AI governance should be capable of examination and verification rather than accepted solely because a provider, organisation or regulator says the necessary protections exist.
Independence and approach
I work independently as a sole trader. My research and writing are not produced on behalf of an AI provider, technology vendor or consultancy.
The purpose is not to encourage businesses to adopt every new AI capability, nor to suggest that AI should automatically be avoided. It is to support informed choices based on a clearer understanding of benefits, limitations, authority and responsibility.
My published work includes practical business explanations, longer analytical articles and independently developed governance tests. Research and reference publications are also made available through public repositories, including Zenodo, where they can be cited and examined.
The objective throughout is to make AI governance understandable, useful and open to scrutiny, particularly for the people and organisations who must live with the consequences of decisions made elsewhere.