Three ways to trust a vendor… and the risk you accept with each

There is an often-overlooked habit in pharmaceutical R&D that deserves more scrutiny than it usually gets. We talk about vendor oversight as though it is mainly a question of execution. Did we perform the audit? Was the report written? Were the findings closed? Was the paperwork complete? Those questions matter, of course, but they can also distract from the more important one. When, exactly, did we decide what level of risk we were willing to accept?

That is the real question sitting underneath most vendor oversight programmes, and in many organisations it is never asked plainly enough. The timing of the audit is treated as an administrative choice, or a practical consequence of timelines, procurement, or operational urgency. In reality, it is far more than that. The timing of the audit tells you what sort of confidence the organisation wants, what sort of risk it is prepared to carry, and whether QA has been invited to shape the decision or merely document its consequences.

This matters because the same pattern appears again and again across preclinical research, clinical development, and computerised systems. The technical details vary, but the logic is strikingly similar. A vendor is needed. Time is tight. Operational teams move forward. QA joins the picture later. An audit happens, but by then the meaningful decision has already been made. The organisation is no longer asking, “Is this the right vendor?” It is asking, “How do we make this work now?” That is not oversight in its strongest form. It is damage limitation in formal clothes.

If we strip the issue back, there are really three broad ways a sponsor can decide to trust a vendor. Not three variations of the same thing, but three distinct positions on risk.

Oversight Model 1

The first is the most cautious and, for some sponsors, the most defensible. A pre-qualification audit is performed before the vendor is selected or before the work is awarded. The sponsor looks at the systems, the procedures, the facilities, the controls, the responsibilities, the records structure, and the broader maturity of the quality management system. The purpose is not merely to ask whether the vendor seems credible. It is to establish whether the organisation appears capable, in design, of generating data the sponsor can rely upon. If the work is particularly sensitive, high value, novel, or strategically important, that initial audit is then followed by an early oversight audit once the research has started and real records and data exist. That second step matters because it closes the gap between theory and practice. It tests not just whether the vendor has a quality system on paper, but whether that system is actually operating when pressure, timelines, human behaviour, and the realities of daily work come into play.

This is the strongest model because it tackles both dimensions of trust. First, can the vendor do the work in a controlled and credible way? Second, are they actually doing it that way when it counts? For the sponsor, this gives the highest level of confidence and the earliest possible opportunity to detect weaknesses before questionable data become embedded in a programme or, worse, in a dossier. It is not hard to see why highly risk-averse organisations, or those dealing with particularly critical data, prefer this model.

But let’s be honest about the trade-offs. It costs more. It takes planning. It requires earlier QA involvement. It may slow vendor appointment. It may frustrate operational teams that believe they already know who they want to work with. It also demands that the organisation accepts a basic truth that some find inconvenient: speed of selection and strength of control do not always move in the same direction. Where that tension exists, leadership has to choose. Too often, it pretends it can have both without compromise.

Oversight Model 2

The second model is to perform only a pre-qualification audit. This is still a meaningful step and, in many situations, a sensible one. It is especially useful where the vendor is new to the sponsor, little reliable information is available, or the sponsor wants some independent confidence before awarding work. A pre-qualification audit can reveal whether the architecture of control exists at all. It can expose obvious weaknesses in governance, documentation, training, data handling, subcontracting, change control, deviation management, computerised systems, or management oversight. It can prevent the sponsor from entering into a relationship based purely on reputation, convenience, or assumptions.

That is valuable, and it should not be dismissed. In fact, many organisations would improve their risk position significantly simply by making sure this step happened earlier and more consistently. But the limitation is obvious. A pre-qualification audit shows intention and design, not performance under live conditions. It shows what the vendor says should happen, what their systems appear capable of supporting, and how well their controls have been described. What it does not show is whether those controls survive contact with reality. It cannot tell you, with the same degree of confidence, how people behave in the flow of real work, how records are generated under pressure, whether informal workarounds exist, or whether the quality system is robust in practice rather than impressive in presentation.

This is where many oversight strategies become vulnerable without fully admitting it. Sponsors leave the audit believing they have reduced uncertainty, and to some extent they have. But they may also have created false reassurance. A well-structured QMS is not the same thing as reliable execution. A polished vendor presentation is not evidence of data integrity. A facility tour is not proof that procedures are being followed in the way the sponsor assumes. That does not make pre-qualification unhelpful. It means it should be seen for what it is: an assessment of potential, not proof of consistent performance.

Oversight Model 3

The third model is to skip pre-qualification and perform an early qualification or oversight audit only after the work has started and some study data or records have been generated. There are good reasons why organisations drift into this model. Sometimes the vendor is already in use before QA is involved. Sometimes the study needs to start quickly. Sometimes procurement and operations have moved ahead because the internal process for vendor approval feels too slow or too disconnected from project reality. Sometimes there is confidence, fair or otherwise, that the vendor is broadly acceptable and that an early audit during execution will provide enough assurance. In these circumstances, the audit becomes an attempt to assess both the design of the QMS and the quality of early outputs at the same time.

There is a real strength in this approach, and it should not be ignored. Unlike a pre-qualification audit alone, it allows the sponsor to judge the vendor in the light of actual behaviour and actual records. That can provide a more grounded and more convincing picture of reliability. You are no longer relying solely on policy statements and procedural intent. You can see whether the documented controls have translated into traceable, contemporaneous, consistent practice. In some cases, that gives a more meaningful answer than a pre-award audit ever could.

Yet this model carries a more serious structural risk. By the time deficiencies are found, the work is already under way. The clock is already running. Data may already exist that are costly, difficult, or politically inconvenient to challenge. The sponsor’s practical freedom has narrowed. If major weaknesses are found in system design, training, documentation control, sample handling, instrument management, or data review, the response is no longer simply to choose a different vendor. The response becomes remediation, mitigation, negotiation, or retrospective justification. The sponsor is dealing not with hypothetical risk, but with realised exposure.

That is the point many organisations do not fully confront. These three models are not just different audit schedules. They are different ways of deciding when uncertainty should be reduced and when risk should be owned. The later the first meaningful audit takes place, the more the organisation relies on hope, assumptions, prior familiarity, or operational confidence to bridge the gap. Sometimes that gamble pays off. Sometimes it does not. But it is still a gamble, whether or not anyone uses that word.

What makes this especially important is that organisations often behave as though they have chosen their model deliberately when in fact they have inherited it by default. In preclinical research, the strongest position may be fully understood in theory, yet bypassed in practice because teams want work started quickly or believe a known vendor is “low risk.” In clinical development, attention may cluster around the most visible providers while laboratories or specialist analytical services generating critical data attract less scrutiny than their impact deserves. In CSV, the same pattern becomes almost painfully clear. Systems are identified, shortlisted, favoured, and sometimes even installed before QA is brought in. At that point, vendor qualification can become a documentation exercise attached to a conclusion already reached elsewhere. The organisation still performs the steps, but the true decision-making window has passed.

This is why I think the conversation needs to move beyond audit mechanics and into decision governance. The real issue is not whether sponsors know audits are possible before or during work. Most do. The issue is whether the organisation has created a joined-up process that forces an explicit conversation about risk, timing, and consequences before momentum takes over. If that conversation does not happen, the oversight model will be determined by urgency, convenience, personalities, and internal power dynamics. QA will then be asked to strengthen a position it did not help design.

A better approach starts with clarity. There are, broadly, three ways to trust a vendor, and each comes with a different price. If you want the highest confidence, especially where the data are pivotal, novel, hard to replace, or strategically important, you need both a pre-qualification view and an early reality check once work begins. If you need an earlier decision on whether a vendor appears fit to appoint, but the overall risk is lower or resources are tighter, a pre-qualification audit may be enough, provided the organisation is honest about what it still does not know. If work has already started, or if practical constraints mean live evidence is more valuable than pre-award theory, an early qualification audit can still provide strong insight, but only if the sponsor recognises that its room to manoeuvre is smaller and its exposure is greater.

That is the challenge I would put to readers this month. Stop asking only whether your vendor oversight programme is compliant, documented, or complete. Ask instead what assumptions it relies on, when it first becomes capable of changing a decision, and whether the timing reflects deliberate risk ownership or organisational drift. Because once the work has started, once the data exist, and once the operational commitment is made, oversight still matters, but it is no longer shaping the choice in the same way.

The uncomfortable truth is that some audits are designed to inform a decision, while others are designed to catch up with one. Strong organisations know the difference. Better ones act on it.