Modernizing Payer Operations Without Disrupting the Entire Enterprise
Healthcare payers face growing pressure to modernize operations while managing legacy systems, fragmented workflows, resource constraints, and regulatory complexity. But for many organizations, large-scale replacement projects can introduce too much risk, cost, and disruption.
In a new Healthcare IT Today interview, Imagenet Chief Technology Officer Brian Yavorsky discusses how payers can take a more targeted approach to modernization. The conversation explores where AI, automation, and workflow technology can create practical operational value, especially in exception-heavy areas that create manual work, delays, rework, and added burden for payer teams.
How Targeted Modernization Can Reduce Risk
Many payer environments are supported by deeply interconnected systems and specialized workflows. While these environments may still function, they can also make change difficult. Replacing or reworking too much at once can disrupt the processes payers rely on every day.
In the Healthcare IT Today interview, Brian explains why a more selective approach can help payers make meaningful progress without putting the broader operating environment at risk. Rather than pursuing a large-scale replacement, organizations can identify specific points of friction and apply AI, automation, and workflow technology where they can create measurable impact.
AI and Automation Are Most Valuable Where Exceptions Create Burden
For many payers, the greatest opportunity is not in the workflows that already move smoothly through established systems. It is in the exceptions.
Exception-heavy workflows are often where manual work, delays, rework, and human error enter the process. These areas can create disproportionate burden for operations teams, especially when staffing and technical resources are already constrained.
Brian discusses how AI can serve as a practical layer of intelligence that helps support these exception-heavy processes without replacing core systems or removing human oversight. In highly regulated healthcare environments, the goal is not simply to remove people from the process. It is to reduce unnecessary labor, improve quality, and help experienced teams manage complex work with better tools.
Modernization Should Be Measured by Operational Impact
The interview also explores how payers can evaluate modernization efforts based on operational impact. Depending on the workflow, organizations may look at reduced manual touches, faster turnaround times, fewer errors, lower rework rates, stronger SLA performance, improved first-call resolution, lower average handle time, or reduced administrative cost.
Across use cases, the larger goal is the same: improve quality earlier in the process, before issues become more expensive, more complex, or more visible to members and providers.
Watch the Full Interview
For a deeper look at how healthcare payers can modernize operations with AI and automation without disrupting the enterprise, watch Brian Yavorsky’s full interview on Healthcare IT Today.














