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bswift Launches AI-Powered Benefits Analytics Dashboards to Help Employers Control Rising Healthcare Costs

With employer healthcare costs continuing to climb, HR technology providers are racing to deliver tools that give benefits leaders clearer insight into how employees actually use their plans.

Benefits administration platform bswift is the latest vendor to push deeper into analytics. The company announced a set of advanced benefits analytics dashboards designed to help employers monitor enrollment behavior, understand decision-making patterns, and identify opportunities to reduce unnecessary benefits spending.

The new dashboards aim to replace traditional spreadsheet-heavy reporting with near real-time visibility into employee benefits activity, enabling HR and benefits teams to adjust communication strategies, refine plan designs, and guide employees toward more cost-effective choices.

In an era where healthcare costs continue to escalate, that kind of insight is becoming essential.

The Cost Pressure Driving Benefits Analytics

Employers are facing unprecedented financial pressure around healthcare coverage.

According to research from the Kaiser Family Foundation, average annual premiums for family health coverage reached nearly $27,000 in 2025, placing increasing strain on corporate benefits budgets.

While plan costs continue to rise, many organizations still lack granular insight into how employees evaluate benefits options, where confusion occurs during enrollment, and which patterns ultimately drive utilization and claims costs.

The new analytics tools from bswift are designed to close that visibility gap.

Rather than relying on retrospective reports, the dashboards surface behavioral signals during the enrollment process itself, giving HR teams an opportunity to intervene while decisions are still being made.

“As costs rise, clients need constant optimization—not static reports,” said Ted Bloomberg, CEO of bswift, in the announcement. “These dashboards help employers spot issues faster and run their benefits programs with tighter cost discipline.”

Turning Employee Behavior Into Actionable Insights

At the core of the new release is a shift from static benefits reporting to behavior-driven analytics.

The dashboards aggregate signals from employee interactions across the enrollment process, helping employers understand how workers weigh trade-offs between cost, coverage levels, and plan options.

This information can help HR leaders answer questions that traditional reporting rarely addresses, such as:

  • Which benefits options employees are most likely to misunderstand

  • Where enrollment friction leads to service requests or administrative costs

  • How communication strategies affect plan adoption

  • Which coverage options employees prioritize when making trade-offs

According to bswift, these insights can ultimately help organizations optimize benefits design, improve employee satisfaction, and reduce avoidable spending.

“Cost control in benefits doesn’t come from a single headline metric,” said Matt Waldrup, EVP of Product at bswift. “It comes from understanding how employees make trade-offs and where confusion leads to inefficiency.”

Real-Time Enrollment Visibility

One of the central components of the new analytics suite is a dashboard focused on enrollment adoption and participation trends.

During the annual enrollment window, HR teams can monitor employee activity in near real time—tracking plan selections, participation levels, and engagement patterns as they unfold.

That visibility allows benefits administrators to adjust communication campaigns while enrollment decisions are still in progress. For example, if adoption of a new health plan option lags expectations, HR teams could deploy targeted messaging or additional educational content before the enrollment period closes.

Once enrollment ends, the dashboard transitions into a multi-year trend analysis tool, enabling employers to monitor shifts in plan selection, participation patterns, and long-term adoption behavior.

These insights can help organizations refine plan offerings and identify opportunities for cost optimization in future enrollment cycles.

Using AI to Understand Employee Decision-Making

A second dashboard focuses on insights generated through Emma EnrollPro, bswift’s AI-driven decision support experience.

During guided enrollment, employees interact with the platform by answering questions about their healthcare needs, financial priorities, and coverage preferences. Those interactions generate structured data that helps employers understand how employees evaluate benefits options.

The new dashboard aggregates those insights across the workforce, revealing trends in employee preferences and decision-making factors.

Unlike traditional employee surveys—which often struggle with low response rates—these insights are collected during the actual decision-making process, making them both highly relevant and broadly representative.

For HR leaders, the result is a more accurate picture of how employees interpret benefits information and what ultimately drives their choices.

That data can then inform changes to plan design, communication strategies, or educational resources aimed at guiding employees toward more appropriate coverage selections.

Emma Intelligence: The AI Layer Behind the Platform

The analytics dashboards are powered by Emma Intelligence, bswift’s AI-native technology framework that runs across the company’s broader benefits platform.

Emma Intelligence supports several capabilities within the ecosystem, including:

  • Guided enrollment and decision support

  • Benefits support chat experiences

  • Analytics and reporting insights

  • Internal service tools for benefits teams

The system is built around the company’s Mindful AI framework, which outlines principles for responsible AI deployment within HR technology.

Those principles emphasize augmenting human decision-making rather than replacing it, protecting employee privacy by default, deploying AI only where there is clear operational value, and designing systems that remain adaptable as AI technology evolves.

The approach reflects a broader shift in HR technology, where vendors are increasingly embedding AI into workflows while maintaining strict governance around employee data and compliance.

A Growing Focus on Benefits Intelligence

The release also reflects a broader trend in the HR technology market: benefits analytics is becoming a strategic capability rather than a reporting function.

As healthcare spending continues to rise, employers are demanding more sophisticated insight into the drivers behind their benefits costs.

Traditional benefits administration platforms historically focused on enrollment management and compliance. Today, however, many vendors are adding advanced analytics and AI-driven decision tools designed to help organizations actively manage benefits performance over time.

For employers, the goal is not simply to administer benefits but to optimize them continuously—balancing employee experience, cost control, and long-term health outcomes.

bswift’s latest dashboards represent another step in that evolution, giving HR teams a clearer view into the behavioral patterns that ultimately shape benefits utilization and spending.

And in a benefits landscape where costs continue to escalate, that visibility may prove just as valuable as the benefits themselves.

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