The word absolute belongs to a long intellectual tradition concerned with completeness, independence and the limits of qualification. Derived from the Latin absolutus, the past participle of absolvere, it carries the senses of being released, unrestricted or complete. In ordinary usage, something absolute may be understood as unconditional, not dependent upon comparison, or not limited by a particular qualification. In philosophy, the concept has acquired more exacting meanings, particularly in discussions of ultimate reality, independent existence and the relationship between what is conditioned and what is not. These uses differ, but they share an interest in the possibility of considering something beyond the immediate limitations of a particular perspective.
Intelligence has a different, though complementary, history. The English word entered use in the late fourteenth century, drawing upon Old French intelligence and Latin intelligentia, meaning understanding, knowledge and the power of discernment. Its original emphasis was not upon the quantity of information possessed, but upon the capacity to comprehend. Over time, the word came to encompass the interpretation and communication of information, the exercise of intellectual ability and the organised acquisition of knowledge for the purpose of informed action. Its many modern meanings retain a relationship between what is known, how it is understood and what can reasonably be concluded from it.
The combination absolute intelligence brings these two histories together, but its meaning should not be assumed to be fixed or universally agreed. The expression has been used in differing modern philosophical and artificial-intelligence contexts and no single, universally accepted origin for the compound phrase can responsibly be established from the available record. This article therefore does not attribute its invention to a particular person or institution. Instead, it examines the intellectual significance of its constituent ideas and explains the specific interpretation adopted by GENERAL INTELLIGENCE PLC in its consultancy framework for chartered financial analysts.
Within that framework, absolute does not mean infallible, omniscient or capable of eliminating uncertainty. Financial markets do not permit such claims and responsible analysis must remain open to evidence that contradicts even its strongest conclusions. The term expresses a different ambition: to examine an investment proposition as comprehensively as practicable, without allowing artificial divisions between financial, economic, technological, regulatory and behavioural considerations to obscure its true character. It describes a method of enquiry directed towards completeness of consideration, rather than a promise of absolute knowledge.
This distinction is fundamental to the framework. An analyst cannot know everything that may affect an investment and no intelligence system can guarantee that every material relationship will be identified in advance. But an analyst can seek to understand the proposition more fully, identify the assumptions upon which it depends, examine the relevant evidence more systematically and establish which uncertainties remain unresolved. ABSOLUTE INTELLIGENCE® gives a name to that disciplined aspiration.
From intelligence to the architecture of understanding
The intellectual history of intelligence extends well beyond the modern scientific study of cognition. Philosophers have long considered the relationship between reason and knowledge, the distinction between appearance and underlying reality and the capacity of the mind to move beyond immediate observations towards more comprehensive understanding. Scientific enquiry has repeatedly demonstrated the value of connecting phenomena that initially appear unrelated, revealing explanatory structures that cannot be discerned by examining each observation in isolation.
Modern psychology brought a more systematic empirical approach to the subject. In 1904, Charles Spearman published “General Intelligence,” Objectively Determined and Measured, a landmark contribution to the investigation of human cognitive ability. His work examined the relationship between performance across different mental tasks and proposed a general factor that might help explain why these performances were associated. The subsequent study of general intelligence developed through a variety of models, methods and debates; it did not produce a single definition of intelligence that resolves every philosophical or practical question.
The distinction between general intelligence and absolute intelligence is therefore important. General intelligence has a recognised history within psychological research and later became significant in the development of artificial intelligence, particularly in discussions of systems capable of operating across a wide range of tasks. Absolute intelligence, by contrast, has no comparable single technical definition that is universally adopted across disciplines. Its significance in this framework must consequently be established by its stated purpose, not by presenting it as an established scientific category.
The modern development of artificial intelligence has sharpened the distinction between possessing a particular capability and developing a more comprehensive understanding. A computational system may extract information, summarise reports, identify patterns or generate forecasts with extraordinary speed. Yet the ability to complete a task does not automatically establish that the system has understood the wider circumstances in which its output will be used. A pattern may be real but immaterial; a correlation may be statistically strong without establishing causation; a conclusion may appear compelling while depending upon an incomplete evidential base.
The resulting question is institutional as well as technical. How can specialised capabilities, human expertise, accumulated knowledge and computational power be organised into a coherent process of understanding? How can an organisation ensure that information is not simply accumulated, but examined in context, challenged when necessary and applied to the decisions for which it is relevant? How can it distinguish the appearance of analytical completeness from a defensible account of what is actually known?
These questions provide the intellectual foundation for ABSOLUTE INTELLIGENCE®. The framework does not claim that completeness can be achieved in an absolute philosophical sense. It treats completeness as a professional discipline: the deliberate effort to identify relevant dimensions of a problem, examine their relationships, test assumptions and make the remaining uncertainties explicit.
The investment proposition as a whole
Chartered financial analysts operate in an environment in which the quality of a decision may depend upon relationships extending far beyond conventional financial data. A company's reported performance may be influenced by technological developments, the actions of competitors, changes in regulation, the structure of its supply chain, shifts in consumer behaviour or the availability of capital. A valuation depends upon assumptions about the future, while the strength of those assumptions may depend upon information that originates outside the company's financial statements. An investment proposition is therefore rarely complete merely because every line of a financial model has been populated.
The challenge is not that financial analysis lacks rigour. It is that rigorous analysis within individual disciplines may still produce an incomplete understanding when those disciplines remain disconnected. Financial modelling, industry research, technology assessment, management analysis, economic forecasting and risk evaluation each provide valuable perspectives. Their findings acquire greater significance, however, when the relationships between them are understood and their implications are examined collectively.
ABSOLUTE INTELLIGENCE® approaches the investment proposition as an interconnected structure of evidence, assumptions and possible outcomes. It seeks to examine the economic foundations of a business, the sources and durability of its competitive advantage, the behaviour of its management, its capital allocation, its technological position, its regulatory environment, its valuation and the principal conditions under which the investment thesis might fail. The depth of enquiry should be proportionate to the nature of the decision. Completeness does not require every possible fact to be assembled; it requires the analyst to establish which facts and relationships are material and to investigate them with appropriate care.
This approach becomes particularly significant when a business is undergoing structural change. Historical financial performance may remain accurate as a description of the past while providing an inadequate guide to future economics. A new technology may alter the cost structure of an industry, change the distribution of value between participants or render an established competitive advantage less durable. Regulation may change the economics of a business model, while shifts in customer behaviour may alter the assumptions embedded within a revenue forecast. Such developments may be visible in individual sources of information before their full financial implications become apparent.
The absolute perspective seeks to connect these early indications with the investment proposition as a whole. It asks not merely what the available evidence says, but what that evidence means for the assumptions upon which value depends. Its purpose is to improve the analyst's ability to recognise change, understand its possible consequences and determine whether the original investment case remains defensible.
From information abundance to analytical completeness
The modern analyst works within an informational environment that differs fundamentally from that of earlier generations. Corporate disclosures, market prices, economic indicators, regulatory publications, research papers, earnings calls, industry commentary, scientific developments and alternative datasets are available in volumes that continue to expand. Artificial intelligence can increase the quantity of material that may be examined and reduce the time required to find, classify, compare and synthesise it. Yet these capabilities do not remove the central problem of investment research: determining which information deserves to influence a decision.
Information abundance can create several forms of analytical weakness. Material evidence may remain hidden within large collections of documents. Repeated statements may be mistaken for independent corroboration. Attention may be drawn towards information that is easy to retrieve or quantify rather than information that is economically important. An analyst may possess a detailed understanding of a company's reported performance while lacking a sufficient understanding of the technological or competitive developments that could alter its future prospects.
ABSOLUTE INTELLIGENCE® treats these as problems of analytical architecture. The objective is to establish a disciplined relationship between the investment question, the evidence required to address it, the sources from which that evidence may be obtained and the reasoning through which conclusions are formed. Artificial intelligence can support this process by locating relevant material, identifying changes across reporting periods, comparing companies, surfacing contradictory evidence and connecting information from disciplines that are often examined separately.
The resulting advantage should not be measured simply by the number of documents reviewed or the speed of their processing. A system that examines a million documents without identifying the decisive issue may be less useful than an analyst who recognises the significance of a single overlooked fact. Computational scale matters because it can make more comprehensive enquiry practicable; it does not, by itself, establish that the resulting judgement is sound.
Analytical completeness is thus a question of coverage, coherence and critical examination. Has the analyst investigated the principal drivers of value? Are the material assumptions explicit? Have relevant alternative explanations been considered? Is contradictory evidence properly weighted? Are the conclusions proportionate to the reliability of the data? What important information remains unavailable? Artificial intelligence can help address these questions, but the standards by which answers are judged must be determined through investment discipline rather than technological convenience.
The meaning of absolute intelligence in financial analysis
The designation ABSOLUTE INTELLIGENCE® must be understood against the limitations of financial knowledge. Investment decisions are made under conditions of uncertainty. Markets respond to new information, expectations, incentives, liquidity, policy decisions and human behaviour. Companies adapt, competitors react and technologies alter the economics of established industries. The significance of a fact may change as circumstances develop, while relationships that appeared durable may weaken or disappear.
An absolute perspective cannot eliminate these conditions. It cannot establish the future as a known quantity or convert an investment forecast into a certainty. Nor should the term be interpreted as a claim that one analytical method can supersede all others. Investment analysis necessarily involves judgement about which evidence matters, which assumptions are reasonable, which risks deserve the greatest attention and how competing possibilities should be evaluated.
Instead, absolute expresses an aspiration to examine the whole investment proposition rather than accepting the limitations imposed by fragmented information, inherited analytical boundaries or established organisational routines. It encourages the analyst to investigate what lies outside the immediately visible financial picture, to connect specialised findings with the underlying economic proposition and to recognise where additional enquiry may materially alter the conclusion.
The distinction is between an absolute claim and an absolute perspective. An absolute claim would imply a finality that financial analysis cannot legitimately provide. An absolute perspective is a disciplined attempt to consider the relevant dimensions of a decision as comprehensively as the evidence and resources permit. It acknowledges that the enquiry may remain incomplete, that conclusions may need to change and that the most important finding may be the recognition of an uncertainty that cannot yet be resolved.
This interpretation gives the designation its practical meaning. ABSOLUTE INTELLIGENCE® is not concerned with producing the appearance of certainty. It is concerned with reducing avoidable incompleteness in the analysis of investment propositions. Its ambition is to make better use of evidence, identify important relationships more systematically and strengthen the reasoning through which the analyst reaches a conclusion.
The investment thesis as a structure of assumptions
Every investment thesis rests upon assumptions, whether or not they are explicitly acknowledged. Expectations about revenue, margins, growth, capital intensity, management performance, competitive behaviour and valuation all depend upon a view of how a business and its environment will develop. Some assumptions are supported by extensive evidence; others rely upon inference, historical analogy or judgement about circumstances that have not previously occurred.
The value of an investment thesis depends partly upon the relationship between these assumptions. A valuation may be sensitive to a particular growth rate, but the credibility of that rate may depend upon technology adoption, market structure, regulation or the capacity of management to execute a strategy. An apparently attractive return may rely upon several favourable conditions occurring together. An investment may remain compelling under a range of reasonable scenarios, or it may prove highly vulnerable to a small change in one underlying assumption.
ABSOLUTE INTELLIGENCE® seeks to make these relationships explicit. The thesis should be treated as a structured argument whose foundations can be examined, challenged and monitored. The analyst should identify the conditions that must hold for the proposition to remain attractive, the evidence that supports those conditions and the developments that would weaken or invalidate them. This converts research from a static statement of conviction into an ongoing process of verification.
Artificial intelligence can help maintain that process. It can monitor changes in corporate disclosures, compare subsequent results with original assumptions, identify developments in relevant markets and surface evidence that may contradict the established thesis. It can also help construct alternative explanations, allowing the analyst to examine whether observed developments are best explained by the original investment case or by a competing account of the evidence.
The responsibility for interpretation remains with the analyst. A change in language may be immaterial; a forecast deviation may reflect temporary conditions; an adverse development may already be reflected in the market price. The analytical task is not simply to detect change, but to determine whether that change alters the economic argument sufficiently to affect judgement. The absolute perspective makes the underlying assumptions more visible so that the analyst can reconsider them intelligently as circumstances evolve.
Independent challenge and the discipline of doubt
Completeness of analysis requires more than collecting evidence in support of an initial conclusion. Investment professionals can become attached to a thesis through repeated work, organisational commitment, the influence of colleagues or the psychological attraction of a coherent narrative. Once conviction has formed, subsequent information may be interpreted in ways that preserve the original view. The result can be an analysis that becomes progressively more elaborate while growing less responsive to contradictory evidence.
ABSOLUTE INTELLIGENCE® therefore places independent challenge at the centre of the analytical process. The purpose is not to manufacture disagreement, but to test whether the investment proposition can withstand the strongest reasonable objections. What is the most vulnerable assumption? Which evidence would most seriously undermine the thesis? What alternative explanation accounts for the observed facts? What would a well-informed opposing analyst identify as the principal weakness? Which risks appear small individually but become material when combined?
Artificial intelligence can assist by generating alternative hypotheses, searching for contradictory evidence, comparing different interpretations and testing the internal consistency of an argument. Its value is particularly apparent when it can be directed to question an established view rather than simply elaborate it. A system that continually confirms the analyst's assumptions can accelerate confirmation bias as readily as it can increase productivity.
The quality of challenge depends upon the quality of the questions and the evidence considered. Artificial disagreement is no more useful than artificial certainty. A credible challenge must be capable of identifying a substantive weakness, establishing its relevance and explaining why it affects the investment conclusion. Equally, the absence of a convincing objection does not prove that the thesis is correct. It means only that the argument has survived the challenge applied to it.
The discipline of doubt is therefore a professional strength. The analyst must be prepared to distinguish conviction from attachment and to revise a conclusion when the evidence requires it. An investment process becomes more intelligent not when it avoids error altogether, but when it makes errors less likely to persist unnoticed and creates a more reliable basis for reconsidering decisions.
Artificial intelligence and the authority of the analyst
The development of artificial intelligence changes the practical scale of analytical work. It can assist with the examination of corporate documents, financial data, market information and specialist research at a speed and breadth that would be difficult for an individual analyst to achieve independently. It can help identify patterns, compare evidence, explore scenarios, retrieve institutional knowledge and maintain observation of developments that may affect an investment thesis.
These capabilities may change the distribution of professional effort. Less time may be required for repetitive information gathering and preliminary comparison, while greater attention can be directed towards defining the problem, evaluating the strength of the evidence, interpreting uncertainty and determining the implications for the investment decision. The analyst's role becomes more concerned with the architecture of enquiry: identifying which questions matter, what evidence is necessary, which analytical methods are appropriate and where independent challenge is required.
This is not a reduction in professional responsibility. It increases the importance of the analyst's ability to evaluate the output of computational systems. A model can produce plausible explanations based on flawed assumptions; a language system can generate a convincing account that contains unsupported claims; and a statistical relationship can be mistaken for a causal mechanism. Such errors may be difficult to identify when an output is fluent, consistent and apparently comprehensive.
The Chartered Financial Analyst profession already places importance upon diligence, independence, objectivity and a reasonable basis for investment analysis. CFA Institute's Standard V(A), Diligence and Reasonable Basis, requires analysis and recommendations to be supported by appropriate research and investigation, while its guidance recognises that the limitations of quantitative models and the quality of information sources must be considered. ABSOLUTE INTELLIGENCE® is conceived as a consultancy framework that complements this professional discipline by examining how advanced computational capability may support more comprehensive enquiry without displacing independent judgement.
The distinction between a tool and an authority is crucial. Artificial intelligence may expand the evidence available to the analyst, suggest alternative interpretations and expose weaknesses in an argument. The investment professional must still establish whether the evidence is reliable, whether the reasoning is defensible and whether the conclusion is appropriate to the decision. As computation becomes more capable, the importance of intellectual independence becomes greater rather than smaller.
The institutional intelligence of investment analysis
Investment research is often organised around individuals, sectors, securities and specialist functions. Such divisions provide expertise and accountability, but they can also make it difficult to connect knowledge that has material significance across the institution. A technological development identified by one analyst may have consequences for several industries; a macroeconomic change may alter the assumptions supporting numerous investment theses; and a historical decision may contain lessons that remain unavailable to the team examining a comparable situation years later.
ABSOLUTE INTELLIGENCE® extends the idea of analytical completeness beyond the individual professional to the investment institution. It considers how knowledge can be preserved, connected and made available in a form that supports future decisions. The objective is not to remove specialist boundaries or create an undifferentiated body of information. It is to ensure that the organisation can access relevant knowledge across those boundaries when the investment question requires it.
Artificial intelligence can assist in making research more discoverable, comparing earlier and current investment theses, retrieving the reasoning behind past decisions and identifying recurring assumptions across sectors or market cycles. It may also help preserve dissenting views and the conditions under which an earlier conclusion was reached, allowing future analysts to understand not merely what the institution decided, but why it decided it.
Institutional memory must nevertheless be distinguished from an archive. The retention of documents does not guarantee that the reasoning within them remains accessible or useful. Nor should historical experience be treated as a set of instructions that can be applied mechanically to present circumstances. Markets change, business models evolve and apparent similarities may conceal materially different conditions. The purpose of institutional memory is to improve the quality of future enquiry, not to replace it.
A more intelligent institution is therefore one that can combine individual expertise with shared knowledge, preserve the basis of consequential decisions and learn from outcomes without allowing hindsight to distort the assessment of earlier judgement. Its capability is cumulative: the organisation can develop a more complete understanding because it is better equipped to connect what it knows, recognise what it has not understood and refine the methods through which it reaches conclusions.
The principles of ABSOLUTE INTELLIGENCE®
The principles underlying ABSOLUTE INTELLIGENCE® establish a disciplined relationship between technological capability and investment purpose. Long-term owner value requires the analysis to remain directed towards the interests of the ultimate owner of capital, rather than the convenience of the institution or the novelty of the technology. Contribution requires demonstrable improvement in the quality of enquiry, judgement or decision-making. Simplicity demands that unnecessary complexity should not be introduced where it adds no material value. Ordinary decency recognises that investment intelligence operates within a human and institutional environment in which integrity, fairness and responsible conduct remain essential. Political neutrality requires the analyst to distinguish the evidence relevant to an investment from ideological preference or predetermined conclusions.
These principles are not decorative statements. They provide criteria against which proposed uses of artificial intelligence should be evaluated. A technically impressive application may fail the test of contribution if it does not improve a material part of the investment process. A complex system may be inferior to a simpler method if its additional sophistication does not justify the cost, uncertainty or difficulty of maintaining it. A commercially attractive use of technology may be inappropriate if it compromises professional independence or creates conflicts with the interests of the owners of capital.
The principles also establish an important freedom: the freedom not to deploy artificial intelligence where it is unnecessary. The objective is not to maximise the use of technology, but to improve the quality of investment intelligence. In some circumstances, better data, clearer responsibilities, improved research methods or a more disciplined decision process may offer greater value than an advanced model. In others, artificial intelligence may substantially extend the range and quality of analysis. The appropriate answer must follow from the investment purpose and the evidence, not from an assumption that technological adoption is inherently desirable.
The framework consequently treats technology as a means of improving professional capability. Its measure of success is the contribution it makes to more rigorous analysis, stronger challenge, better-informed decisions and long-term owner value.
ABSOLUTE INTELLIGENCE® at GENERAL INTELLIGENCE PLC
ABSOLUTE INTELLIGENCE® is an artificial intelligence consultancy framework provided by X from GENERAL INTELLIGENCE PLC for chartered financial analysts. It addresses the strategic, technical and institutional dimensions of intelligence within professional financial analysis, with a particular emphasis upon the relationship between comprehensive enquiry, computational capability and independent investment judgement.
The framework begins with the nature of the investment decision rather than with a predetermined selection of technologies. It considers the questions that must be answered, the evidence required, the assumptions upon which the thesis depends and the relationships that may materially affect its validity. It then examines how artificial intelligence may strengthen discovery, comparison, challenge, monitoring and institutional learning, while retaining a clear distinction between information, evidence, analysis and judgement.
ABSOLUTE INTELLIGENCE® is concerned with the integrity of the entire analytical process. It seeks to make the investment proposition more explicit, the supporting evidence more accessible, competing interpretations more visible and the conditions for reconsideration more clearly defined. Its ambition is to help the analyst examine a proposition more comprehensively without confusing extensive analysis with certainty or allowing machine-generated conclusions to become a substitute for professional responsibility.
The framework recognises that the appropriate use of artificial intelligence will differ according to the analyst's responsibilities, the investment philosophy of the organisation, the resources available and the nature of the decision under consideration. Some applications may improve the consistency and speed of routine analysis; others may materially extend the investigation of complex or unfamiliar questions. The framework does not presume that every activity should be automated or that every technological intervention will improve outcomes. Its purpose is to identify where a more capable intelligence architecture can make a demonstrable contribution.
The designation ABSOLUTE INTELLIGENCE® expresses this particular consultancy ambition. It should not be interpreted as a claim to have originated the wider phrase, as a universally accepted scientific definition or as a promise of infallible analysis. The intellectual history of the component ideas is broader than any individual organisation. The identity of the consultancy framework lies in its defined application to chartered financial analysis and in the principles through which that application is understood.
For GENERAL INTELLIGENCE PLC, the central issue is how to organise human and machine capability around the demands of serious investment enquiry. The framework seeks to help create an analytical environment in which more of the relevant evidence can be considered, assumptions can be examined more rigorously, contradictory information can be surfaced and institutional knowledge can be applied more effectively. The objective is not a more technologically elaborate analyst, but a more capable investment professional operating within a more intelligent institution.
The absolute intelligence test
The test of ABSOLUTE INTELLIGENCE® is whether the investment professional can develop a more complete and defensible understanding of the proposition being evaluated.
- Has the analysis investigated the principal drivers of value?
- Have the relevant financial, economic, technological, competitive and regulatory considerations been brought together where material?
- Are assumptions explicit and capable of challenge?
- Has contrary evidence been considered seriously?
- Does the analyst understand the limitations of the data and models used?
- Are the remaining uncertainties recognised rather than concealed behind an appearance of precision?
The institutional test is equally important.
- Can relevant knowledge be accessed across the organisation without losing context?
- Can the reasoning behind earlier decisions be reconstructed?
- Can the institution distinguish a sound process from a favourable outcome?
- Can it learn from experience without allowing historical patterns to become substitutes for present judgement?
- Can artificial intelligence strengthen the analyst's independence rather than create dependence upon outputs whose reliability is insufficiently understood?
Finally, the framework must be tested against its declared purpose.
- Does the use of technology improve the quality of the investment process in a manner proportionate to its cost and risk?
- Does it contribute to long-term owner value?
- Does it reduce avoidable analytical incompleteness without introducing unnecessary complexity?
- Does it leave the institution better equipped to question its assumptions, respond to new evidence and act with professional discipline?
These questions are more demanding than a measure of processing speed, the volume of information examined or the sophistication of a model. They require an assessment of the relationship between analytical capability and the decision it is intended to support. They also require the willingness to conclude that a technology adds insufficient value, that further evidence is needed or that the available information does not justify a confident conclusion.
The absolute perspective is therefore not a claim to absolute knowledge. It is a standard of enquiry: a sustained effort to examine the investment proposition in its relevant entirety, make the basis of judgement explicit and recognise the limits of what can reasonably be concluded.
The enduring proposition
The history of intelligence reflects a persistent effort to understand how knowledge becomes comprehension and how comprehension supports action. The idea of the absolute introduces a further question: whether an object of enquiry can be considered beyond the limitations imposed by a partial perspective. These are broad intellectual traditions rather than a single established theory of absolute intelligence. Their combination within ABSOLUTE INTELLIGENCE® is consequently best understood as a defined professional philosophy, not as a claim that the expression possesses one universally agreed historical or scientific meaning.
For chartered financial analysis, the philosophy has a clear practical significance. An investment proposition may be evaluated through many specialised disciplines, yet its true character emerges through the relationships between financial performance, competitive position, technology, management, capital allocation, regulation, valuation and uncertainty. The quality of judgement depends upon the extent to which these dimensions are considered together, the strength of the evidence supporting the conclusion and the willingness to revise that conclusion when circumstances change.
Artificial intelligence can extend the reach of this enquiry. It can assist the analyst in examining more information, connecting evidence across disciplines, challenging established assumptions and maintaining a more continuous view of developments that may affect an investment thesis. These capabilities can be valuable, but they do not establish the significance of every pattern, guarantee the correctness of a forecast or remove the responsibility to exercise independent judgement. The greater the capacity to generate analysis, the greater the importance of determining which conclusions are justified.
ABSOLUTE INTELLIGENCE® provides a framework through which chartered financial analysts can consider these possibilities in relation to their professional responsibilities and the long-term interests of the owners of capital. Its purpose is to strengthen the connection between evidence and judgement, to reduce avoidable incompleteness in investment enquiry and to support the development of institutions capable of learning more effectively from their decisions.
The ambition is comprehensive analysis without the pretence of certainty; technological capability without technological dependence; independent judgement supported by an expanded evidential field; and investment decisions directed towards durable value rather than the appearance of analytical sophistication.