This article builds on Manufacturing Judgment: How Professional Services Build Their Most Valuable Asset, which argued that professional-services firms have always produced two outcomes through client work. Every engagement delivers something visible to the client while quietly contributing to the development of professional judgment inside the firm. The same work that generates today’s revenue also helps create tomorrow’s partners.
That argument explains how firms create their most important capability. It does not yet explain why clients, regulators, investors and other stakeholders are willing to rely on it. A professional may reach an excellent judgment, but that judgment has little economic value unless someone is prepared to act on it. Professional-services firms therefore produce more than judgment. Over time, they also accumulate the confidence that allows their judgment to be used.
This is the second invisible asset of the profession. Professional-services firms manufacture judgment, but they accumulate trust. Judgment is the capability to decide under uncertainty. Trust capital is the institution’s accumulated capacity to make others willing to rely on that judgment. The first determines the quality of the answer. The second determines whether the answer can carry economic weight.
From Judgment to Reliance
Trust is often treated as a soft concept, associated with relationships, culture or reputation. Economically, it is much more concrete. One of the most influential definitions describes trust as a willingness to become vulnerable to the actions of another party, even when that party cannot be fully monitored or controlled. That is a remarkably accurate description of what clients do when they engage a professional-services firm. (An Integrative Model of Organizational Trust)
A board acts on a restructuring recommendation whose counterfactual can never be observed. A company relies on a tax opinion that may only be tested years later. An investor uses audited financial statements without being able to repeat the audit. A client shares commercially sensitive information with advisers who will often understand parts of its business better than its own management. In each case, the client or stakeholder accepts vulnerability because the work cannot be completely specified, monitored or independently verified.
Economists describe many of these services as credence goods. Their quality may remain difficult to evaluate even after the service has been delivered. A technically polished report may still contain weak judgment. A good outcome may reflect favourable circumstances rather than good advice, while a poor outcome does not necessarily mean the advice was wrong. The client therefore cannot solve the quality problem simply by inspecting the finished product. It must decide whose judgment it is prepared to rely on. (The Economics of Credence Goods: An Experiment on the Role of Liability, Verifiability, Reputation, and Competition)
The Economics of Trust
Trust makes exchange possible where contracts, monitoring and technical evaluation remain incomplete. It reduces the amount of verification required before a client acts. It supports repeat engagements, permits the delegation of more consequential decisions and allows a firm to introduce professionals whom the client has never met. In some markets, it can also support a price premium. Economic research has shown that where buyers cannot observe quality before purchasing, future returns to reputation can compensate providers for maintaining quality rather than taking a short-term gain by reducing it. (Premiums for High Quality Products as Returns to Reputations)
This does not mean that trust is the same as reputation. Reputation is a belief about past conduct. Brand is a signal that helps transmit that belief. Relationships create familiarity and access. Trust is the forward-looking decision to rely. A firm may have a famous brand without being trusted for a particular service, and a partner may have a strong relationship without the client trusting the wider institution. These assets reinforce one another, but they are not interchangeable.
Trust capital is therefore not simply another name for brand value or client relationships. It is the accumulated capacity of the institution to secure reliance before the quality of an outcome can be known. It produces economic returns because clients and stakeholders are willing to act with less direct control than would otherwise be possible. It also creates resilience. When a trusted firm makes an ordinary mistake, stakeholders may interpret it as an exception. A firm without accumulated trust is less likely to receive the same benefit of the doubt.
Trust Is Layered
The original notes behind this article drew a sharp distinction: judgment is individual, while trust is institutional. The distinction points in the right direction, but it is too absolute. Judgment is exercised by individuals, yet it is shaped by institutional knowledge, methods, review and culture. Trust also exists at several levels at the same time.
Clients may trust a particular partner because of years of personal experience. They may trust the firm because it provides quality review, specialist depth, continuity and recourse if something goes wrong. They may trust the profession because qualifications, ethical standards, regulation and legal liability constrain behaviour. Large professional-services firms combine all three layers. They turn personal credibility into institutional reach and reinforce it through a wider professional system.
The layers matter because trust is never completely fungible. Ability and therefore trustworthiness are specific to a particular domain. A firm’s reputation in audit does not automatically establish trust in cybersecurity. A strong local tax relationship does not automatically transfer to a global transformation programme. Even within one client, trust may sit with a named partner, a particular team, a member firm, the global brand or some combination of all four. (An Integrative Model of Organizational Trust)
Trust Is Not the Same Across Services
The economic architecture of trust differs across professional services. In consulting, the client purchasing the work is usually the principal party expected to rely on it. In tax, the client relies on the advice, but tax authorities and the wider public also have an interest in the integrity of the profession. In audit, the company appoints and pays the firm, while the ultimate purpose is to increase the reliability of information used by investors and other stakeholders. The audit report communicates whether the financial statements are presented fairly and can therefore be relied upon by their users. (Investor Bulletin: Why Audits Matter)
This creates an important tension. The behaviours that deepen client trust can sometimes weaken public trust. An auditor who is highly responsive to management but insufficiently independent may strengthen the commercial relationship while damaging the reason the audit exists. A tax adviser can win client confidence through aggressive advice while weakening trust with regulators. Professional-services firms do not manage one undifferentiated stock of trust. They manage overlapping trust relationships whose interests do not always align.
That makes independence, professional scepticism and the willingness to say no economically important. The objective is not to maximise trust in the sense of making every stakeholder feel comfortable. It is to make reliance well founded. Healthy professional trust includes challenge, verification and constraints. An institution that is trusted without being questioned may be dangerous. An institution that can show why its judgment deserves reliance has accumulated something far more durable.
How Trust Accumulates
Trust cannot be manufactured on demand, but firms can build the conditions through which it accumulates. Every reliable engagement adds a small amount of evidence. Every difficult conversation handled with integrity strengthens expectations about future behaviour. Every quality review, independence check, client-acceptance decision and remediation process demonstrates that the institution is prepared to incur costs to protect the reliability of its work.
These are credible commitments because they restrict short-term commercial freedom. Independence rules can prevent profitable work. Quality reviews consume experienced time. Risk management rejects attractive clients. Professional standards require documentation, challenge and escalation that may make delivery slower. The International Ethics Standards Board for Accountants explicitly links ethics and independence standards to public trust, while the UK Financial Reporting Council monitors governance, leadership, ethical requirements, client acceptance, engagement performance and remediation as components of firm-wide quality management. These activities are normally classified as overhead, risk or compliance. Economically, much of them is trust infrastructure. (About IESBA; Systems of Quality Management Monitoring)
A recent economic model develops the adjacent concept of social capital as an asset shaped by culture and individual investment. In that model, trust is an output of social capital, while legal enforcement and market incentives can complement or substitute for it. Professional-services firms add another important layer: accumulated judgment. Clients rely because they believe the institution is capable, because past behaviour supports that belief, because governance constrains misconduct and because someone remains accountable when the answer is wrong. Trust accumulates where capability, integrity and credible institutional commitments reinforce one another over time. (A Theory of Social Capital and Trust)
An Uneven Balance Sheet
Calling trust capital does not mean it belongs on a financial balance sheet or can be measured as one firm-wide number. It behaves like capital because firms invest in it today to create future economic benefits. It can be accumulated, maintained, deployed and consumed. It can also depreciate when experienced people leave, quality systems weaken, incentives reward the wrong behaviour or a common brand expands faster than the institution underneath it.
The stock is unevenly distributed. One office may possess deep trust in a local market while another relies mainly on the global name. One service line may borrow credibility from a regulated audit practice even though its own work follows very different quality systems. A recently acquired firm may bring strong relationship trust but little attachment to the new institution. A global network may share a brand while accountability and legal liability remain concentrated in local member firms.
This is why trust can be both transferable and stubbornly local. A respected institutional name allows an unfamiliar professional to enter a client conversation with an initial presumption of competence. That is trust capital being deployed. Yet the presumption remains conditional. It will weaken if the individual, service line or member firm fails to confirm it or. The institution can lend trust, but it cannot permanently substitute inherited reputation for current performance.
Fragile, Resilient and Difficult to Read
Trust is often said to take years to build and seconds to destroy. Research on the asymmetry of trust provides some support for that intuition: negative events generally have a greater impact on trust than positive events, although the effect depends partly on prior beliefs and context. (Trust, the Asymmetry Principle, and the Role of Prior Beliefs)
Arthur Andersen remains the extreme professional-services example. By the time the US Supreme Court overturned the firm’s criminal conviction, its clients and people had already left. The legal decision could not revive the institution because the trust and operating organisation on which it depended no longer existed in a meaningful form. (Arthur Andersen LLP v. United States, 544 U.S. 696; The Significant Meaninglessness of Arthur Andersen LLP v. United States)
Yet the simple formulation is incomplete. Trust capital can also absorb substantial shocks. A 2025 study of 110 reputation-damaging events involving the US Big Four found that client losses were generally short-lived and economically negligible. A separate negligible 2026 study found a more visible local effect: the private-client market share of a Big Four office fell by an average of 5 per cent in the year after a public-client restatement. Together, the findings suggest that trust does not disappear mechanically after every failure. Deep accumulated trust, limited alternatives, switching costs and market structure can all buffer the commercial effect. They may also conceal it. (The Consequences of Reputation-Damaging Events for Big Four Auditors; The Impact of Auditor Reputation Impairments on Private-Client Market Share)
This creates a measurement problem for boards. A firm may be consuming trust capital without immediately losing clients. Retention can reflect confidence, but it can also reflect contractual inertia, market concentration or the absence of a credible alternative. Conversely, a highly visible failure can cross a threshold when it reveals not an isolated mistake but a deeper problem with competence, integrity or governance.
PwC Australia’s tax-leaks scandal became economically destructive not only because confidential information was misused, but because the response raised wider questions about leadership, culture and institutional accountability. The government consulting practice, which employed approximately 1,400 people, was ultimately sold to Allegro Funds for A$1. The difference between a shock that is absorbed and one that becomes systemic often lies in what the event appears to reveal about the institution behind it. (PwC: The Cover-up Worsens the Crime; PwC Australia Cuts Another 300-Plus Jobs in Wake of Leaked Tax Plan Scandal)
AI and the Price of Plausibility
Artificial intelligence makes this distinction more important. AI does not manufacture professional judgment by itself. It expands access to knowledge, accelerates analysis and increases the supply of technically plausible output. Experienced professionals may use those capabilities to exercise better judgment. Less experienced users may produce convincing answers without recognising where the reasoning is weak.
The evidence already illustrates the risk. A 2025 global study by the University of Melbourne and KPMG found that 66 per cent of employees using AI had relied on its output without critically evaluating the information, while 56 per cent reported making mistakes in their work because of AI. The study also found that only around half of employees regularly engaged critically with AI at work. (Trust, Attitudes and Use of Artificial Intelligence: A Global Study 2025)
KPMG itself subsequently demonstrated that this problem is not confined to inexperienced employees or organisations without formal AI controls. Its October 2025 client-facing report, Total Experience: Redefining Excellence in the Age of Agentic AI, presented case studies of how organisations around the world were supposedly using agentic AI. A GPTZero investigation found that only five of its 45 citations accurately matched their sources. Another 28 contained paraphrased titles or fabricated elements, while 12 were too vague or flawed to verify. Around half of the claims supported by those citations appeared to be false or misattributed. (Chasing the Hallucinations: KPMG’s AI-Powered Attempt at Redefining Excellence)
The Financial Times independently examined the report and found inaccurate or unsupported claims about organisations including UBS, NHS Greater Manchester, Swiss Federal Railways and Transport for London. KPMG removed the report from its websites and began an internal investigation. Its response made the case particularly revealing: KPMG said its guidelines for responsible AI use required human oversight to validate content and the independent verification of sources. Those were precisely the controls that had failed before an authoritative report carrying the KPMG name was published. (KPMG Report Contained AI Hallucinations on Benefits of AI)
The incident exposes the deeper institutional risk. A firm can possess sophisticated technology, experienced professionals and extensive quality policies, yet still convert plausible AI output into an authoritative publication without adequately verifying it. Trust capital may initially make such material more likely to be accepted because clients and readers assume that the institution has already performed the necessary checks. When that assumption proves wrong, AI does not merely produce an inaccurate answer. It allows the firm to spend trust accumulated through decades of other work.
As plausible answers become cheaper to produce, the client’s verification problem becomes harder rather than easier. The important question is no longer simply whether AI can generate an answer. It is who has tested the answer, who is prepared to challenge it and who remains accountable when it is wrong.
This gives established professional-services firms a potentially powerful advantage. They can wrap AI-enabled work in human review, quality management, traceability, professional standards and institutional accountability. In the same global study, 83 per cent of respondents said they would be more willing to trust an AI system when assurance mechanisms were present. These included reliability monitoring, human oversight, clear accountability, responsible-AI policies, international standards and independent assurance. Trust capital may therefore become the permission layer that allows AI-supported judgment to be used in high-stakes situations. (Trust, Attitudes and Use of Artificial Intelligence: A Global Study 2025)
The advantage also creates risk. A firm can use yesterday’s trust to accelerate adoption of systems whose reliability clients cannot independently assess. If institutional review becomes weaker while the brand continues signalling confidence, AI does not create trust capital. It consumes it. The long-term winners may not be the firms producing the largest volume of AI-enabled output, but those that can convert AI-supported capability into justified reliance without allowing the speed of production to outrun the strength of their trust infrastructure.
Governance as Trust Infrastructure
Governance exists to allocate decision rights, resolve conflicts, monitor performance and hold leaders accountable. In professional-services firms it has another fundamental economic function. It determines whether the institution behaves consistently enough for clients and stakeholders to rely on its judgment across partners, offices, service lines and generations.
This changes how many familiar costs should be understood. Quality management, independence, ethics, risk, professional standards, partner review and regulatory engagement do not merely protect the firm from failure. They help create the conditions under which the market accepts its work. Cutting them may improve the current year’s margin while weakening the asset that supports future revenue. The tension becomes particularly important when partner remuneration, debt service, acquisition targets or external ownership increase pressure for short-term financial performance.
The same applies to incentives. A firm cannot credibly claim that trust is its most important asset while rewarding revenue regardless of client quality, pricing aggressive advice more highly than professional challenge or treating control functions as obstacles to commercial performance. Governance preserves trust capital when economic rewards, professional obligations and institutional consequences point broadly in the same direction. When they diverge, the firm may continue reporting strong financial results while quietly drawing down the confidence on which those results depend.
Trust Cannot Be Acquired at the Speed of Revenue
The distinction also matters for professional-services consolidation. Financial capital can acquire revenue, headcount, offices and client contracts quickly. It can acquire a respected local name and borrow the credibility attached to it. What it cannot guarantee is that personal and local trust will migrate to the new institution at the same speed.
This is the deeper issue behind the Transferability Problem. A shared brand can make trust more scalable, but it also creates contagion. Every acquired firm gains access to the reputation of the platform while every failure can potentially draw on the reputation of the whole. Integration therefore concerns more than systems, processes and cost synergies. It determines whether the platform is building common trust infrastructure or merely placing a common logo over trust relationships that remain local. (The Transferability Problem: Why Professional-Services Roll-Ups May Be Discovering That Institutional Trust Is Harder to Scale Than Revenue)
Private equity does not automatically weaken trust, just as partnership ownership does not automatically preserve it. The relevant question is whether the ownership and governance model continues to fund credible commitments whose benefits emerge over a longer period than the current owners may intend to remain invested. Trust capital follows a slower cycle than transaction capital. Any model that depends on their moving at the same speed contains an assumption that boards and investors should make explicit.
Closing Thoughts
Professional-services firms do not simply sell expertise, and they do not simply manufacture judgment. They create institutions around judgment so that clients, regulators, investors and the public are prepared to rely on it. That willingness to rely is not a vague by-product of a good brand. It is an economic asset built through repeated performance, credible constraints, accountability and time.
Judgment and trust follow different production systems. Judgment develops through experience, reflection, challenge and increasingly the intelligent use of AI. Trust accumulates as stakeholders repeatedly observe that judgment being exercised competently and with integrity inside an institution prepared to stand behind it. Judgment can improve quickly. Trust usually cannot. Judgment can move with an individual. Institutional trust must survive beyond one individual.
Together, the two ideas provide a more complete description of what a professional-services firm actually is. It is an institution that manufactures judgment and accumulates trust. Artificial intelligence changes how the first asset is created and increases the importance of the second. The central competitive question may therefore become not which firm can produce the most answers, but which institution can make reliance on those answers justified.
What This Means for Boards
Boards of professional-services firms routinely monitor revenue, profitability, utilisation, partner income, retention and technology investment. Few discuss trust with the same economic precision. If trust capital is one of the institution’s defining assets, the first question is where it actually resides. How much sits with individual partners, local offices, service lines, the national firm, the global brand or the profession itself? Which parts would remain if a key partner left, a member firm failed or the ownership structure changed?
Boards should also distinguish trust from commercial inertia. Are clients staying because they actively rely on the institution, or because switching is difficult? Which service lines are building their own trust capital and which are borrowing credibility from other parts of the firm? Whose trust matters in each business model: the paying client, regulators, investors, lenders, the public or several of them at once? Where can strengthening one relationship weaken another?
The next questions concern accumulation and consumption. Which activities create evidence that the firm’s judgment deserves reliance? Which quality, independence and review mechanisms function as trust infrastructure? Are margin initiatives removing cost or drawing down institutional confidence? Do partner incentives reward decisions that preserve future trust when those decisions reduce current revenue? Which near misses, overrides, complaints, inspection findings, independence breaches or employee concerns might reveal deterioration before client losses appear?
Artificial intelligence adds a further layer. Who is prepared to stand behind an AI-supported answer? Can the firm explain how it was produced, tested, challenged and approved? Does the institution’s accountability remain as strong when less human work is visible? Is the firm using trust capital to support responsible innovation, or using yesterday’s reputation to make today’s opacity easier to accept?
These questions reach beyond reputation management. They go to the heart of how the institution creates economic value and preserves its permission to operate. Manufacturing future judgment may become one of the board’s most important responsibilities. Protecting the conditions under which others are willing to rely on that judgment may be equally important.
Sources
- Manufacturing Judgment: How Professional Services Build Their Most Valuable Asset
- An Integrative Model of Organizational Trust
- The Economics of Credence Goods: An Experiment on the Role of Liability, Verifiability, Reputation, and Competition
- Premiums for High Quality Products as Returns to Reputations
- Investor Bulletin: Why Audits Matter
- About IESBA
- Systems of Quality Management Monitoring
- A Theory of Social Capital and Trust
- Trust, the Asymmetry Principle, and the Role of Prior Beliefs
- Arthur Andersen LLP v. United States, 544 U.S. 696
- The Significant Meaninglessness of Arthur Andersen LLP v. United States
- The Consequences of Reputation-Damaging Events for Big Four Auditors
- The Impact of Auditor Reputation Impairments on Private-Client Market Share
- PwC: The Cover-up Worsens the Crime
- PwC Australia Cuts Another 300-Plus Jobs in Wake of Leaked Tax Plan Scandal
- Trust, Attitudes and Use of Artificial Intelligence: A Global Study 2025
- Chasing the Hallucinations: KPMG’s AI-Powered Attempt at Redefining Excellence
- KPMG Report Contained AI Hallucinations on Benefits of AI
- The Transferability Problem: Why Professional-Services Roll-Ups May Be Discovering That Institutional Trust Is Harder to Scale Than Revenue