Letter to David Postings. - CEO of UK Finance.
Dear Mr Postings,
AI CONSULTANCY FRAMEWORKS FOR THE UK BANKING AND FINANCE INDUSTRY
I am writing on behalf of X from GENERAL INTELLIGENCE PLC, a Scottish company established in 1896, to introduce a substantial portfolio of artificial intelligence consultancy frameworks developed for organisations operating across banking, financial services, insurance and the wider economy.
UK Finance occupies a particularly important position within the British financial-services industry. As the collective voice of banking and finance, its work encompasses institutions whose future competitiveness will be shaped not simply by their adoption of artificial intelligence, but by the quality of the intelligence, judgement, institutional knowledge and decision-making capabilities through which that technology is applied.
It is in this context that I believe the work of GENERAL INTELLIGENCE PLC may be of considerable interest to you and, potentially, to your members.
1. A different approach to artificial intelligence
The starting point for our work is a distinction that we consider fundamental: artificial intelligence is a technology; intelligence is an organisational capability.
The acquisition or deployment of increasingly sophisticated technology does not, in itself, make an organisation more intelligent. Nor does the ability to process greater quantities of information necessarily result in better decisions, more effective risk management, improved customer outcomes or greater long-term value.
For a financial institution, the central questions are therefore considerably broader than which artificial intelligence systems to purchase or deploy. They include:
- How effectively does the institution understand its customers, markets, counterparties and operating environment?
- How does it convert information into reliable insight and sound commercial judgement?
- How effectively does it identify emerging risks, changing circumstances and previously unrecognised opportunities?
- How does it preserve institutional knowledge while improving the quality and consistency of decisions?
- How should human expertise, artificial intelligence and delegated authority operate together?
- How does it ensure that technological investment strengthens rather than weakens governance, accountability and operational resilience?
- How can intelligence become a sustained institutional advantage rather than a collection of disconnected technological applications?
These are questions of institutional design, strategy, governance and commercial performance. They are also questions that will become increasingly important as artificial intelligence changes the economics, competitive structure and operating models of financial services.
Our governing proposition is straightforward:
Artificial intelligence is a means, not an end.
The objective is not to introduce technology for its own sake. It is to improve the capacity of an organisation to understand, decide, act, learn and create lasting value.
2. The consultancy framework portfolio
GENERAL INTELLIGENCE PLC has developed 30 named consultancy frameworks, each designed around a particular conception or application of intelligence and its relevance to a defined industry, professional discipline or commercial environment.
The frameworks provide structured approaches through which organisations can examine their strategy, customers, products, operations, data, technology, risk, governance, growth and transformation.
They are not presented as 30 separate artificial intelligence products, foundation models or deployed software systems. They are consultancy frameworks intended to inform strategic thinking, organisational development, technological choices and the practical application of intelligence.
The portfolio includes the following frameworks of particular relevance to banking and financial services.
3. Frameworks for banking, financial markets and financial services
SUPERINTELLIGENCE® — Financial technology
SUPERINTELLIGENCE® is concerned with the strategic and institutional implications of artificial intelligence for financial technology businesses.
The framework examines how financial technology organisations can develop and sustain competitive advantage through the intelligent application of data, technology, capital and specialist knowledge.
Its principal areas of consideration include business strategy, product development, technology architecture, proprietary data, customer experience, operational efficiency, financial economics, governance, risk and organisational transformation.
A central question is whether a technological capability produces a defensible commercial advantage, or whether it merely increases the cost and complexity of operating in an increasingly competitive market.
The framework also considers the relationship between financial technology companies and established financial institutions, including the opportunities and dependencies created by new digital services, platforms and infrastructure.
X® — Building societies
X® has been developed for the building society sector, where the relationship between institutional intelligence, mutual ownership and long-term member value is particularly important.
Building societies possess extensive information about their members, their financial circumstances, housing requirements, savings, borrowing and communities. The opportunity is to develop a more coherent understanding of this information and use it to improve the quality of institutional decisions.
The framework considers member intelligence, mortgage lending, savings, customer relationships, product development, credit and financial risk, operational performance, local and community knowledge, governance and institutional memory.
It recognises that a building society's responsibilities extend beyond the optimisation of individual transactions. Its mutual character requires an understanding of the long-term interests of members and the institution as a whole.
INTELLIGENCE® — Retail banking
INTELLIGENCE® is concerned with the development of institutional intelligence within retail banks.
Retail banks operate across an exceptionally broad range of customer relationships, financial products, transactions and services. Their information resources can provide a deeper understanding of household finances, customer needs, payment behaviour, savings, borrowing, mortgages, fraud and changing economic circumstances.
The framework examines how such information may be translated into more effective customer service, product design, financial decision-making, risk assessment and operational performance.
It also considers the appropriate relationship between automated systems and professional judgement, particularly where decisions have material consequences for individuals and households.
The objective is not simply to make retail banking more automated. It is to make the institution more capable of understanding and serving its customers.
GENERAL INTELLIGENCE® — Asset management
GENERAL INTELLIGENCE® addresses the application of intelligence to the asset-management industry.
Asset managers operate in an environment characterised by complex information, changing market conditions, competing investment perspectives and the need to exercise disciplined judgement under uncertainty.
The framework considers investment research, asset allocation, portfolio construction, client requirements, market intelligence, risk, performance, operations and institutional learning.
It examines how organisations can improve the relationship between information, investment analysis and decision-making, while maintaining appropriate professional responsibility and investment governance.
The wider question is how an asset-management business can develop an enduring institutional capacity to understand markets, assess opportunities and allocate capital intelligently.
GENIUS® — Investment banking
GENIUS® has been developed for investment banking, where the quality of judgement, analysis and execution can have substantial commercial consequences.
The framework considers the application of intelligence across mergers and acquisitions, corporate finance, capital markets, securities, trading, research, financing and the preparation and analysis of complex financial documentation.
It also examines the importance of confidentiality, information integrity, regulatory obligations, conflicts of interest, transaction risk and professional accountability.
Artificial intelligence may materially increase the speed and analytical reach available to investment banking organisations. The strategic challenge is to ensure that these capabilities improve the quality of advice, analysis and execution rather than simply increasing the volume of activity.
HYPERINTELLIGENCE® — Commercial banking
HYPERINTELLIGENCE® is concerned with the development of intelligence within commercial banking institutions.
Commercial banks hold extensive information relating to businesses, sectors, transactions, cash flow, credit, liquidity, payments and the wider economy. Considered collectively and appropriately, these information resources may provide a deeper understanding of the financial circumstances and changing requirements of commercial customers.
The framework examines commercial credit, lending decisions, working capital, liquidity, customer relationships, sector analysis, economic intelligence, fraud, operational risk and portfolio concentrations.
It also considers how banks can improve their understanding of the businesses they finance, including the changing risks and opportunities facing small and medium-sized enterprises, larger corporates and international businesses.
The ambition is to strengthen the institution's capacity to understand commercial activity and make better-informed decisions.
SENTIENT® — Financial advisory
SENTIENT® addresses the application of intelligence within financial advisory organisations.
Financial advice is fundamentally concerned with understanding individual circumstances, objectives, obligations, preferences and changing needs. The framework examines how technology and information can support advisers in developing a more complete understanding of their clients while preserving the professional judgement and accountability upon which effective advice depends.
Its areas of consideration include client intelligence, financial circumstances, suitability, planning, investment and retirement objectives, risk, communication, professional knowledge and the quality of ongoing advice.
The framework does not suggest that technology should replace the adviser. Its purpose is to consider how intelligent systems may improve the information available to professionals and enable them to devote more attention to the quality of their advice and client relationships.
SUPERHUMAN® — Risk management
SUPERHUMAN® considers the application of advanced intelligence to risk management.
Financial institutions face interconnected risks across credit, market, liquidity, operational, conduct, technology, cyber security, financial crime and third-party dependencies. These risks are increasingly influenced by complex relationships that may be difficult to identify through conventional analytical approaches alone.
The framework examines how organisations can extend their capacity to identify, understand, assess and monitor risk, including emerging threats, concentrations, dependencies and systemic vulnerabilities.
It also addresses the risks created by artificial intelligence itself: model dependency, data quality, concentration, opacity, operational resilience, accountability and the possibility that the use of technology may introduce new forms of institutional vulnerability.
The objective is to improve the institution's capacity to anticipate and manage risk, not merely to automate existing risk-management processes.
ABSOLUTE INTELLIGENCE® — Chartered financial analysts and investment analysis
ABSOLUTE INTELLIGENCE® is concerned with the quality, reliability and independence of investment analysis.
The framework considers the testing of investment theses, the examination of assumptions, the identification of contrary evidence, continuous monitoring and the development of institutional learning.
It addresses an important distinction between the accumulation of investment information and the exercise of sound investment judgement. More data, faster analysis and increasingly sophisticated models do not necessarily produce more reliable conclusions.
The framework therefore places particular emphasis on evidence, intellectual discipline, independent assessment, governance and the ability to recognise when an investment proposition is no longer supported by the available facts.
ALTERNATIVE INTELLIGENCE® — Alternative investment analysis
ALTERNATIVE INTELLIGENCE® examines the development of information advantage within alternative investment organisations.
The framework considers how investors can identify relationships, second-order effects, weak signals and developments that may not be immediately apparent through conventional analysis.
It is concerned with the quality of research, the testing of assumptions, the interpretation of complex information and the identification of risks and opportunities that may be overlooked by prevailing market opinion.
Its central distinction is that information is not intelligence and conviction is not evidence.
4. Further frameworks across financial services and insurance
The portfolio also includes frameworks developed for the wider financial-services and insurance markets. These are relevant to the broader financial ecosystem, including insurers, reinsurers, brokers, underwriters and specialist financial intermediaries.
They include:
- ADAPTIVE INTELLIGENCE® — general insurance, with emphasis on organisational learning, changing risk conditions and the continuing reliability of an insurer's understanding.
- APPLIED INTELLIGENCE® — insurance underwriting, focusing on the quality of evidence, risk assessment, pricing, terms, referrals and defensible underwriting decisions.
- AUGMENTED® — insurance, examining how intelligent systems may strengthen the capabilities of insurance professionals across underwriting, claims, pricing, distribution and portfolio management.
- AUTHENTIC INTELLIGENCE® — specialist insurance, examining authenticity, provenance, evidence and the assessment of potentially manipulated or synthetic information.
- AUTONOMOUS® — life assurance, considering institutional autonomy, delegated authority, governance and accountability.
- AUTOTELIC® — yacht insurance, examining the relationship between the purpose, use and operation of insured vessels and the intelligence required to understand their risks.
- BIONIC INTELLIGENCE® — managing general agents, focusing on the relationship between delegated authority, specialist underwriting knowledge, technology and institutional control.
- EMBODIED INTELLIGENCE® — personal accident insurance, considering the relationship between individual circumstances, evidence, claims and the assessment of human risk.
- ENTERPRISE INTELLIGENCE® — enterprise-wide organisational intelligence, examining how information and insight are translated into coordinated decisions and action.
- EXPONENTIAL INTELLIGENCE® — redundancy insurance, considering the implications of accelerating economic and technological change for employment-related risk.
- FRONTIER INTELLIGENCE® — offshore energy insurance, addressing complex infrastructure, engineering, environmental, operational and supply-chain risks.
- GENERAL INTELLIGENCE® — asset management, as described above.
- GENUINE INTELLIGENCE® — specialist insurance, with emphasis on authenticity, provenance, valuation, custody and the integrity of information.
- INFINITE INTELLIGENCE® — kidnap and ransom insurance, examining intelligence in the context of prevention, human security, crisis response and the management of complex threats.
- NEURAL INTELLIGENCE® — general insurance agencies, considering organisational learning, professional capability, customer relationships and the effective use of information.
- REAL INTELLIGENCE® — fine art and specie insurance, focusing on identity, authenticity, provenance, condition, valuation, ownership, location and custody.
- RECURSIVE INTELLIGENCE® — reinsurance, examining how institutions learn from differences between prediction and actual experience, including underwriting, claims, accumulation and systemic risk.
- REFLECTIVE INTELLIGENCE® — reinsurance broking, considering independent assessment, the justification for technological investment, alternatives, dependencies and governance.
- SINGULARITY® — general insurance, addressing emerging risks, changing insurability, portfolio accumulation and the implications of technological developments for insurance institutions.
- TRUE INTELLIGENCE® — financial planning, focusing on the relationship between client circumstances, professional judgement, financial objectives and the quality of advice.
- UNIVERSAL INTELLIGENCE® — specialist insurance for film and television production, considering intellectual property, provenance, authorship, contractual obligations and technology-related production risks.
Taken together, these frameworks provide a broad portfolio of sector-specific approaches to the application of intelligence across financial services and associated industries.
5. Why this matters to the future of UK banking and finance
The financial-services industry is likely to be among the most consequential environments in which artificial intelligence is developed and applied.
Banks and other financial institutions possess extensive information resources, sophisticated analytical capabilities, established governance structures and significant responsibilities to customers, businesses, markets and the wider economy.
They also face a number of challenges that cannot be resolved by technological adoption alone.
Institutional knowledge and decision-making
Financial institutions must ensure that knowledge is retained, understood and made available to those responsible for decisions. The departure of experienced employees, organisational restructuring and the increasing complexity of financial products can all weaken institutional memory.
Intelligent systems may provide opportunities to preserve and extend institutional knowledge, but their value depends upon the quality of the underlying information and the processes through which it informs decisions.
Risk, resilience and accountability
The application of artificial intelligence creates opportunities to improve analytical capability, but it also introduces new dependencies and potential concentrations of risk.
Institutions must understand not only what a system can do, but how it operates, where its information originates, what assumptions underpin its outputs, where its limitations lie and who remains accountable for decisions.
Customers and members
The financial-services industry has a responsibility to understand the people and businesses it serves. The intelligent use of information may improve customer service, product suitability, access to finance and the quality of financial relationships.
However, these opportunities must be balanced against privacy, fairness, transparency, security and the need to maintain confidence in financial institutions.
Capital allocation and long-term value
The scale of investment in artificial intelligence makes the quality of investment decisions particularly important.
Boards and executive teams must distinguish between technological activity and genuine economic value. The relevant questions concern productivity, customer outcomes, risk, revenue, costs, competitive advantage and the long-term strength of the institution.
The competitiveness of the British financial-services industry
The United Kingdom has an important opportunity to develop a distinctive position in the intelligent application of technology across financial services.
That opportunity should encompass more than access to technology developed elsewhere. It should include British intellectual property, specialist expertise, sector-specific knowledge, consultancy capability and the institutional capacity to apply artificial intelligence effectively.
In our view, the development of these capabilities deserves consideration as part of the wider discussion about the future competitiveness of British banking and finance.
6. The wider intellectual-property portfolio
The consultancy frameworks form part of a broader intellectual-property portfolio developed by GENERAL INTELLIGENCE PLC.
The company describes this portfolio as comprising 30 UK trade marks in Class 42, together with more than 100 additional intelligence-related intellectual-property assets.
The portfolio includes names and concepts relating to intelligence, artificial intelligence, general intelligence, superintelligence and associated fields.
The frameworks represent an attempt to give practical, sector-specific expression to these ideas through structured consultancy approaches.
The company has invested in developing an extensive body of written material examining intelligence in its human, institutional and artificial forms. Its website, https://x.uk/, contains more than 700 pages of material addressing these subjects and their potential applications.
This work has been developed independently over a substantial period. It reflects the company's belief that the future of intelligence will be determined not only by advances in technology, but also by the quality of the institutions that develop, govern and apply it.
7. A possible point of engagement with UK Finance
I appreciate that UK Finance is an industry representative organisation rather than a consultancy procurement body. I am not writing on the assumption that UK Finance would itself commission or adopt these frameworks.
Rather, I believe there may be value in bringing the work to your attention because of its relevance to several areas central to the organisation's remit: artificial intelligence, digital transformation, innovation, banking competitiveness, operational resilience, financial risk and the future of financial services.
I would particularly welcome consideration of whether the frameworks might be of interest to the appropriate colleagues within UK Finance, including those responsible for digital technology and innovation, banking policy, financial markets, payments, commercial finance and operational resilience.
There may also be value in considering whether the work could contribute to wider industry discussion about the distinction between the adoption of artificial intelligence and the development of institutional intelligence.
If considered appropriate, I would be pleased to provide the individual framework materials and supporting documentation for examination by the relevant members of your team.
I would also welcome the opportunity to explain the portfolio in greater detail and to discuss its possible relevance to UK Finance and its members.
8. Concluding observations
The banking and finance industry is entering a period in which the relationship between technology, information, intelligence and institutional capability will become increasingly important.
The institutions that benefit most from artificial intelligence may not necessarily be those that adopt the greatest number of systems or make the largest technological investments. They may instead be those that develop the strongest capacity to understand their circumstances, exercise independent judgement, make sound decisions and learn continuously.
That requires a broader conception of intelligence than technology alone can provide.
GENERAL INTELLIGENCE PLC has sought to address this opportunity through a portfolio of 30 consultancy frameworks, supported by a wider body of intellectual property and research. We believe that the work has potential relevance across the British financial-services industry and merits consideration by an organisation with UK Finance's breadth of representation and influence.
Our position is that artificial intelligence should strengthen the intelligence of the institutions that use it. It should improve the quality of decisions, reinforce accountability, support professional expertise and contribute to sustainable economic value.
Artificial intelligence is a means, not an end. Institutional intelligence is the ambition. Independent judgement is the discipline. Long-term value is the objective.
I would be grateful if you would consider this introduction and, if appropriate, arrange for the material to be brought to the attention of the colleagues best placed to assess its relevance.
Thank you for your time and consideration.
Yours sincerely,
X from GENERAL INTELLIGENCE PLC