PBSA 2026 brought a noticeable shift in the conversation around artificial intelligence and background screening. Rather than focusing on broad predictions, screening leaders were discussing how technology should be applied as it becomes part of more screening processes.
That discussion was especially visible in verification, where screening companies are anticipating increased volume, managing complex workflows, and looking for ways to improve efficiency without compromising quality or control.
Based on the conversations we had, four themes stood out.
People were asking less about what AI might eventually do and more about how it should be used now.
Screening involves a series of connected activities, from researching employers and validating contact information to managing outreach, routing orders, identifying changes, and reviewing results. Some of those activities may be well suited to automation. Others become more complicated when circumstances do not follow the expected path.
The important question isn’t what can be automated, but where automation fits, what it needs in order to work effectively, and whether it can support a sustainable process as volume and complexity grow.
Interest in new capabilities was paired with a clear condition: quality cannot be traded for speed.
In screening, a faster process isn't necessarily a better one. If it creates rework, obscures an exception, or produces information that cannot be trusted, it hasn't improved the outcome.
Technology should make it easier to produce a reliable result, not simply a faster one.
Another theme was less about AI than about the experience screening organizations expect from their technology and service partners. Expectations around consistency, responsiveness, and communication remain high.
When something changes, screening organizations want to know as early as possible so they can understand the impact and communicate with their own customers. The concern isn't necessarily change itself. It is being asked to absorb too much change, too quickly, without enough context or notice.
As screening systems become more connected, visibility and communication become part of how a dependable process works. Knowing what is happening and when others need to know about it is part of delivering a consistent experience.
Greater acceptance of AI does not diminish the value of expertise, context, or judgment. It clarifies where those qualities matter most.
Technology can handle recurring steps and help teams manage volume. People are still needed to interpret unusual circumstances, respond to complexity, make responsible decisions, and build trust with the organizations they serve.
That human connection matters most when a process does not follow the expected path. At those moments, screening teams need context and judgment alongside the technology.
The conversations at PBSA pointed to a clearer standard for innovation. Screening leaders are not looking for technology simply because it is new. They are looking for approaches that fit the process, meet the needs of the screening teams using them, and improve the experience for those who depend on them.