In healthcare admin, exceptions aren't edge cases. They're the job.
AMA survey data shows physicians and their teams spend about 13 hours per week on prior auths alone, and 60% of practices report that three staff members are typically involved in completing a single request. IDC research noted that traditional automation tools were never built to handle the dynamic, exception-heavy nature of these workflows.
Here's the thing about AI tools. They handle predictable volume well. What they're not good at is knowing when they've entered an exception. And that's exactly the part that never shows up in pilots.
Every prior auth has a wrinkle. Every patient situation has context.
You can't really evaluate an AI tool without knowing what percent of your actual workflow is exceptions. Most organizations don't know that number.
Xillium supports the exception-heavy workflows automation alone does not resolve. What that looks like in practice is on our Solutions page.
