REFLECTIVE INTELLIGENCE® is an artificial intelligence consultancy framework provided by X from GENERAL INTELLIGENCE PLC to general reinsurance brokers. It addresses the strategic, technical, commercial and institutional questions that arise when a reinsurance broker is considering the development, acquisition or application of increasingly capable artificial intelligence. Its purpose is to establish where artificial intelligence can create genuine and durable commercial value within a reinsurance brokerage, how that value may best be realised and where a different, simpler or more established approach may be preferable.
The framework is informed by the research into artificial intelligence undertaken by X from GENERAL INTELLIGENCE PLC. That research considers the development of machine intelligence from scientific, technical, organisational, economic and institutional perspectives, including emerging computational capabilities, artificial intelligence architectures, reasoning systems, intelligent agents, evaluation, safety, governance and regulation. The purpose of this work is not to follow technological fashion, but to understand the significance of developments as the field evolves and to distinguish demonstrated capability from aspiration, material progress from transient enthusiasm and strategic significance from technological novelty.
Our starting proposition is simple: artificial intelligence is a means, not an end.
For a reinsurance broker, that proposition has particular significance. Reinsurance is an information-intensive and judgement-intensive business in which commercial value is derived not merely from the possession of information, but from the ability to interpret it, place it, negotiate upon it and apply professional judgement to uncertain and consequential circumstances. REFLECTIVE INTELLIGENCE® therefore begins with the business objective, the source of the value being sought and the decision that needs to be made; not with the technology itself.
RESEARCH AND INTELLIGENCE
X from GENERAL INTELLIGENCE PLC undertakes independent, research-informed analysis of artificial intelligence and its implications for organisations, markets and institutions. Our research extends beyond currently available products and platforms. We examine developments in the underlying science and technology, the evolution of computational architectures and intelligent systems, emerging methods of reasoning and learning, the development of increasingly autonomous systems and the governance and regulatory questions that accompany them.
For general reinsurance brokers, this research is considered in the context of the particular characteristics of the reinsurance market: complex and incomplete information, specialist knowledge, professional judgement, contractual and technical interpretation, exposure to uncertainty, long-standing client and market relationships and the responsibility associated with advising clients and arranging the transfer of risk. Particular attention is therefore given to the relationship between technological capability and practical significance. A new capability may be technically important without being commercially useful to a broker; conversely, a relatively modest development may have substantial consequences when combined with appropriate information, expertise, infrastructure or changes in the way the business operates.
We therefore examine evidence from scientific literature, technical research, recognised standards, regulation, operational experience and other relevant sources. Where evidence is incomplete or competing interpretations exist, uncertainty is identified rather than concealed. This provides the intellectual foundation upon which REFLECTIVE INTELLIGENCE® approaches strategic and commercial questions.
STRATEGY
REFLECTIVE INTELLIGENCE® assists general reinsurance brokers in determining the appropriate strategic role of artificial intelligence within their businesses.
This may include assessing where artificial intelligence could create commercial advantage, identifying and prioritising potential applications, evaluating organisational readiness, considering alternative approaches and determining the circumstances in which an artificial intelligence initiative should proceed.
Particular attention is given to the relationship between artificial intelligence and the broker's underlying business model. A technically impressive capability is of limited value if it does not strengthen the economics, competitiveness, resilience, client proposition or long-term prospects of the enterprise.
For a reinsurance broker, this requires consideration of the distinction between information and understanding, between processing and judgement and between automation and contribution. Artificial intelligence may increase the speed or scale at which information can be processed without necessarily improving the quality of the resulting commercial decision. It may also alter the economics of activities that have historically depended upon specialist human effort. The relevant question is therefore not simply what artificial intelligence can perform, but what its contribution means for the business and for the role of the broker within the reinsurance market.
A sound artificial intelligence strategy must consider not only where the technology should be adopted, but where it should not.
INDEPENDENT ASSESSMENT
REFLECTIVE INTELLIGENCE® provides independent assessment of proposed artificial intelligence initiatives and the assumptions upon which they depend.
For a general reinsurance broker, this may involve examining a proposed artificial intelligence product, platform, system, model or business application; the problem it is intended to address; the benefits expected from it; and the conditions necessary for those benefits to be realised.
Depending upon the circumstances, this may include consideration of information quality and provenance, analytical capability, accuracy, reliability, robustness, security, confidentiality, privacy, integration, intellectual property, regulatory considerations, supplier dependency, cost and the longer-term consequences for the business.
Particular consideration may also be required where artificial intelligence is intended to support activities involving professional judgement. The presence of a capable system does not in itself transfer responsibility from the broker to the system. The appropriate allocation of responsibility between people, systems and institutions must remain clear, particularly where an artificial intelligence capability may influence the assessment, presentation, negotiation or management of risk.
The purpose is to establish whether the proposed application is capable of delivering the outcome sought and whether the investment, complexity and organisational commitment required are justified.
COMMERCIAL VALUE
Artificial intelligence can require substantial expenditure as well as significant commitments of management attention, technical capability and organisational resources.
REFLECTIVE INTELLIGENCE® provides a framework for evaluating such decisions in the context of the long-term value of the reinsurance brokerage. We consider anticipated commercial benefits alongside acquisition and operating costs, technical dependencies, implementation requirements, organisational consequences, uncertainty, risk and the opportunity cost of alternative uses of capital and management attention.
For a broker, commercial value may arise through improvements in the quality, speed or economics of information and decision-making; through better use of specialist knowledge; through improved client service; through greater operational capacity; or through the development of new capabilities. Such benefits must, however, be distinguished from activity which merely increases technological complexity without producing a corresponding commercial contribution.
Our research into emerging artificial intelligence capabilities also enables investment questions to be considered against the direction of technological development rather than solely against the capabilities available at the point of decision. A significant investment may become less attractive if the underlying capability is likely to change materially, while a modest investment may become strategically important if it establishes an appropriate foundation for future development.
The relevant question is not whether a proposed artificial intelligence capability is sophisticated, fashionable or technically impressive. It is whether the investment is capable of making a worthwhile and enduring contribution to the brokerage.
TECHNOLOGY AND APPLICATION
REFLECTIVE INTELLIGENCE® enables general reinsurance brokers to evaluate artificial intelligence technologies against their actual commercial and operational requirements rather than against supplier claims or prevailing technological fashion.
Assessment may include artificial intelligence models and their capabilities, performance, reliability, resilience, security, privacy, explainability, architecture, integration, intellectual property, supplier dependency and total cost of ownership. It may also require consideration of the direction in which the underlying technology is developing. Understanding what is likely to change can be as important as understanding what is available today, particularly where a significant investment would create long-term technological dependencies.
Artificial intelligence may have application across the activities of a reinsurance broker, including research and market intelligence, information analysis, exposure and portfolio analysis, client information, placement preparation, contract and wording analysis, document and correspondence processing, workflow, knowledge management, decision support and other activities in which machine intelligence may improve the quality, speed or economics of work.
Applications are assessed according to their contribution to the business rather than their novelty. A conventional technology, a better process, a reorganisation of responsibilities or no technological intervention at all may produce a better result. That conclusion is entirely consistent with the REFLECTIVE INTELLIGENCE® approach.
The appropriate technology is the one capable of meeting the legitimate objective with an acceptable balance of value, complexity, reliability and risk.
GOVERNANCE AND PROFESSIONAL RESPONSIBILITY
For general reinsurance brokers, the introduction of increasingly capable artificial intelligence can create questions of accountability, confidentiality, control, security, professional responsibility and institutional resilience.
REFLECTIVE INTELLIGENCE® considers the governance arrangements necessary to ensure that significant artificial intelligence capabilities remain properly understood, controlled and accountable. Depending upon the circumstances, this may include decision rights, human oversight, risk assessment, testing, monitoring, documentation, information controls, incident management and criteria for reviewing, modifying or discontinuing an artificial intelligence initiative.
The governance implications of artificial intelligence cannot always be separated from its technological development. Our research therefore considers emerging questions of safety, evaluation, accountability, regulation and institutional control alongside developments in capability.
For a reinsurance broker, governance must also preserve the professional responsibilities upon which the business depends. Artificial intelligence should assist the exercise of professional judgement where appropriate, but should not create uncertainty as to who is responsible for a decision, an analysis, an advice or an outcome.
Governance should provide effective control without imposing unnecessary complexity or inhibiting legitimate commercial development.
INDEPENDENT CHALLENGE
A central purpose of REFLECTIVE INTELLIGENCE® is to provide informed and independent challenge before significant technological, commercial or organisational commitments are made.
We examine whether the business problem has been properly defined, whether the anticipated benefit is supported by evidence, whether credible alternatives have been considered, whether the proposed solution is unnecessarily complex and whether the brokerage will retain meaningful control over its investment and resulting capability.
For general reinsurance brokers operating in markets characterised by technical complexity, uncertainty and long-established professional relationships, independent challenge can be particularly important where technological expectations are moving faster than established commercial evidence.
The appropriate conclusion may be to proceed, to proceed differently, to investigate further, to defer or not to proceed.
Independence requires the willingness to reach any of these conclusions.
PRINCIPLES
The REFLECTIVE INTELLIGENCE® framework is founded upon five principles: long-term owner value, contribution, judgement, simplicity and ordinary decency.
Long-term owner value is the governing commercial objective. Artificial intelligence should strengthen the enterprise over time rather than merely produce an attractive immediate proposition.
Contribution concerns the proper allocation of responsibility between people, machines and institutions. Decisions should reflect evidence, capability, performance and purpose, while recognising that professional judgement remains an essential component of a reinsurance brokerage.
Judgement concerns the distinction between information and understanding. Artificial intelligence may assist analysis and decision-making, but the existence of greater computational capability does not remove the need for professional responsibility or informed human judgement.
Simplicity is a commercial discipline. The simplest arrangement capable of achieving the required outcome with acceptable reliability and risk is ordinarily preferable.
Ordinary decency establishes an essential boundary to commercial rationality. Honesty, proper conduct, legitimate confidentiality, responsibility and fair dealing are fundamental to durable institutions and to the professional relationship between brokers, clients and markets.
PROPORTIONATE ENGAGEMENT
The scale of consultancy should reflect the significance and complexity of the decision under consideration.
REFLECTIVE INTELLIGENCE® may be applied through a focused strategic assignment, independent assessment, investment evaluation, technology review, application assessment, governance review or continuing strategic advice.
We favour the smallest engagement capable of answering the question properly. The scope, objectives, responsibilities, outputs, timetable and commercial terms are established in proportion to the matter under consideration.
The initial requirement is to understand the reinsurance brokerage, the artificial intelligence question being considered, the decision that needs to be made and any material commercial, technical, regulatory or institutional constraints. The appropriate scope of consultancy can then be determined.
THE TEST
The REFLECTIVE INTELLIGENCE® framework ultimately asks:
- What creates long-term value?
- What genuinely contributes to it?
- What requires judgement?
- Is artificial intelligence the appropriate means?
- Can the objective be achieved more simply?
- What are the enduring costs and risks?
- Can the proposed course of action be properly governed and controlled?
- Would the decision remain sound if technological fashion were removed from consideration?
REFLECTIVE INTELLIGENCE® is not an exercise in finding reasons to deploy artificial intelligence. It is a framework for determining where artificial intelligence can create genuine and durable advantage within the general reinsurance brokerage.
GENERAL REINSURANCE BROKING
REFLECTIVE INTELLIGENCE® is particularly applicable to general reinsurance brokers developing, acquiring or evaluating artificial intelligence capabilities.
For such businesses, artificial intelligence can affect the management and interpretation of information, the economics of operations, the quality and speed of analysis, client service, market intelligence, placement activity, knowledge management and the allocation of professional effort. Decisions concerning artificial intelligence may therefore have consequences extending well beyond the technology itself.
The significance of these decisions is amplified by the pace of development. A reinsurance broker considering an artificial intelligence investment must assess not only present capability but the direction of technological progress, the durability of its assumptions and the possibility that emerging developments may alter the commercial proposition.
REFLECTIVE INTELLIGENCE® brings these considerations together. It combines independent research into artificial intelligence with strategic, technical and institutional analysis to help general reinsurance brokers determine what matters, what is commercially justified and what should be done.
The emphasis is on the relationship between technology, judgement, commercial value and institutional responsibility. We consider whether the proposed application addresses a substantive business requirement, whether its expected benefits are credible, whether the underlying technology is appropriate and whether the resulting capability can be operated with sufficient reliability, security, accountability and economic discipline.
The conclusion may be to proceed, to modify the proposition, to investigate further or not to proceed. The purpose of the consultancy is not to promote artificial intelligence, but to help general reinsurance brokers make better decisions about when and how it should be used.
X FROM GENERAL INTELLIGENCE PLC
REFLECTIVE INTELLIGENCE® forms part of the wider artificial intelligence research and consultancy activities of X from GENERAL INTELLIGENCE PLC.
Our work is founded upon the proposition that meaningful understanding of artificial intelligence requires both intellectual breadth and practical judgement. Research establishes what is changing and why it matters; consultancy determines what those developments mean for a particular organisation and what, if anything, should follow.
For general reinsurance brokers, REFLECTIVE INTELLIGENCE® provides a means of bringing those two disciplines together: independent understanding of artificial intelligence and disciplined commercial judgement about its application.
The name reflects the purpose. Increasingly capable machines may extend the capacity of an organisation, but the quality of the resulting institution depends upon how that capability is understood, governed and applied. The objective is therefore not simply greater intelligence, greater automation or greater technological capability. It is better judgement about what should be done.