Technology has revolutionized how organizations manage third-party risk, but finding the right balance between automation and human oversight remains a critical challenge. You want to have technology complete administrative, tedious, or repetitive tasks, but can you trust it?
As compliance programs evolve, understanding when to let technology handle decisions is essential and can be the difference between an efficient program and one that either creates unnecessary bottlenecks, or exposes your organization to unacceptable risk.
The Evolution of Automation in Risk Management
Many organizations have moved beyond Excel spreadsheets, shared drives and paper forms to sophisticated platforms that can screen thousands of vendors/customers, automate low-risk approvals, and integrate seamlessly with other business systems. This technological leap hasn't just made programs faster - it's fundamentally changing what's possible with limited resources. New regulations and obligations mean compliance functions still need to do more with less.
However, automation isn't simply about speed. It's about applying a risk-based, defensible approach that ensures human attention goes where it matters most. When thousands of third parties flow through your system each week, and you’ve only a small compliance team, automation becomes essential, just for survival. One of the greatest misconceptions is that technology is there to eliminate human judgment. Those on the cutting edge are looking beyond the zero-sum game of human substitution, choosing instead to look through the lens of augmentation.
Where Automation Excels
Low-Risk Processing
The most obvious starting place for automation is handling low-risk third parties. When a vendor meets predefined criteria indicating minimal risk - perhaps a small transaction value, no access to sensitive data, and clean screening results - the system should move that relationship through approval with minimal human intervention. Though this isn't about cutting corners. It's about recognizing that not all relationships will warrant the same level of scrutiny.
The key to successful parsing lies in establishing robust guardrails around automated decisions. These controls ensure that even automated approvals happen within acceptable parameters, with clear criteria that trigger human review when something doesn't fit the expected pattern.
Screening and Initial Assessment
Rather than looking through a binary lens of “approved” or “not approved”, teams are instead looking for the incremental wins when deploying technology. And it excels at the repetitive, rules-based tasks that consume countless hours of human time.
Using technology to automate watchlist screening, sanctions checks, and adverse media searches can process volumes that no team could handle manually. Similarly, preliminary risk scoring based on standardized questionnaires can quickly categorize vendors, allowing compliance teams to focus their expertise on borderline cases and high-risk relationships.
Depending on your risk appetite and those guardrails, you may not be able to fully automate. However, depending on the industry and geography, most of a company’s vendors/customers should be lower risk. In some industries, it could be 50% of the population is low risk, and in others, it can be 90 percent that are low risk; aerospace and defense can be much riskier than education and retail. At least some portion of the population can go through an accelerated, automated fast-track that has been adequately vetted.
The key is to ensure your experts are still plugged into the overall equation. Rather than having them do the repetitive, monotonous steps, have them focus on the complex and critical ones – where years of experience are needed to interpret nuance.
Workflow Management
Moving parties through various approval stages, sending automated reminders, tracking deadlines, and maintaining audit trails are all tasks where automation provides clear value. These functions don't require judgment; they require consistency and reliability, which technology delivers better than manual processes. Tools with robust automation capabilities can be configured in sophisticated ways that consider variables such as questionnaire responses, locations, API data feeds and countless additional factors.
When Human Judgment Remains Essential
Complex Risk Assessment
Certain situations demand experience and real-world learnings that technology cannot replicate. When screening results aren't clear-cut (maybe a name match might be a false positive, or adverse media requires context to evaluate), experienced professionals should be the ones to make that call. The nuances of understanding whether a news article indicates genuine risk or simply reflects competitive market dynamics, often requires industry knowledge and contextual understanding. While AI and large language models are undoubtedly learning and progressing, ask yourself if it’s really worth the risk.
High-Risk Relationships
Third parties that pose significant risks due to their access, location, industry, or transaction value require human oversight throughout the relationship lifecycle. Working with high risk partners often involves strategic decisions about risk tolerance, mitigation measures, and ongoing monitoring that go beyond what algorithms can determine.
Escalations and Exceptions
No matter how well-designed your automated workflows, situations will arise that don't fit neatly into predefined categories. When the system flags something unusual, or when stakeholders request exceptions to standard processes, people must evaluate whether the request is reasonable, what additional controls might be necessary, and whether proceeding aligns with the organization's risk appetite.
Designing for the Right Balance
Start with Risk Modeling
Your automation strategy should begin with risk modeling that considers your team's realistic capacity. If you design a system where too many relationships trigger manual review, you'll either create bottlenecks that frustrate the business or find that reviews become cursory because staff lack time for thorough assessment. Neither outcome serves your program's objectives.
Consider the volume of third parties entering your system and the resources available to review them. If you have thousands of low-risk vendors but only two compliance professionals, your automation must handle the routine cases efficiently so your people can focus on what truly matters.
Build in Escalation Pathways
Even heavily automated systems need clear escalation routes. When automated screening hits certain thresholds, encounters unusual patterns, finds a sanctioned entity, or other high-risk indicators, the system should seamlessly route those cases to appropriate reviewers. These pathways ensure that automation accelerates routine decisions while human judgment addresses complexity.
Maintain Appropriate Oversight
Automation doesn't mean "set it and forget it." Periodic reviews of automated decisions help ensure the system continues to perform as intended. Sampling automated approvals, reviewing outcome metrics, and adjusting risk criteria based on lessons learned keeps the program aligned with your organization's risk profile.
The Resource Reality
Organizations today face the constant pressure of increased regulatory scrutiny. Automation helps bridge the gap between what needs to be accomplished and available headcount, but it's not a complete substitute for skilled professionals. Instead, think of technology as a force multiplier that extends what your team can accomplish.
A well-designed system might automatically approve 50-90% of low-risk third parties, allowing your compliance team to dedicate their time to the remaining parties that truly warrant their expertise. This approach delivers better risk management than attempting to give a cursory review to every vendor or customer because the volume overwhelms available resources.
Integration and Seamlessness
The effectiveness of your automation depends partly on how well it integrates with your organization's broader technology ecosystem and other platforms that are accessed daily. API connections that communicate approval status to procurement systems, integration with training platforms, and seamless data flow between screening tools and your other enterprise-wide platforms all contribute to a program that works with your business rather than creating additional friction.
The fewer separate systems and logins required, the more likely people will actually use the tools properly. When technology integrates smoothly into existing workflows, it becomes an enabler rather than an obstacle.
Looking Forward
As artificial intelligence continues to advance, the line between what technology can handle and what requires people to make decisions will shift. However, the fundamental principle remains; automation should handle the routine and rules-based decisions, freeing experienced people to apply their judgment where it matters most.
The most successful programs won't be the most automated - they'll be the ones that thoughtfully balance technology's efficiency with human insight's irreplaceable value. Your goal isn't to eliminate people but to deploy them strategically, ensuring that the right decisions receive the right level of attention.
Regular reassessment of where you've drawn these lines helps ensure your program evolves with changing circumstances. What worked when you managed 500 third parties may need adjustment at 5,000. What made sense with a two-person team may need reconsideration when you can dedicate a dozen professionals to the program.
The question isn't whether to automate; It's how to automate thoughtfully, maintaining the human judgment that technology can enhance but never fully replace.
Designing an effective third-party risk management program requires understanding your organization's unique risk profile, resources, and operational realities. The right balance between automation and human oversight isn't universal—it's specific to your circumstances and should evolve as your program matures.
To listen to the full source conversation, check out Using AI in the Due Diligence Industry