AI Decision Support Saved Employees $327 Each: Real Wins From the 2026 Open Enrollment Season
By Chris Weinmann, Founder, OVI
Open enrollment is the most expensive decision most employees make all year — and 53% regret their choices afterward. But companies deploying AI decision support during the 2026 enrollment season are proving those regrets are preventable. Guided employees saved an average of $326.92 each, and the gap between AI-assisted and unassisted enrollees is widening across every measurable outcome.
Here is what the early data shows — and what HR leaders can learn from it.
Benefitfocus: 67% HDHP Adoption vs. 55% Without Decision Support
Benefitfocus published its 2026 plan-year decision support data from select client groups, covering enrollments during Q4 2025 for January 1, 2026 benefit effective dates. The results reveal a consistent pattern: employees who used integrated decision support made measurably different — and more cost-effective — benefit selections.
Among employees who engaged with decision support and selected a medical plan, 67% chose a high-deductible health plan, compared to 55% of non-users — a 12-point gap. The difference in HSA adoption was even larger: 64% of decision support users enrolled in a health savings account when selecting an HDHP, versus 42% among non-users. That 22-point spread matters because HSA enrollment is one of the strongest predictors of long-term healthcare cost management for both employees and employers.
Decision support users also contributed 8% more to their HSAs and enrolled at higher rates in voluntary benefits — 56% elected critical illness insurance (vs. 37%) and 55% chose accident insurance (vs. 36%).
Forty-four percent of employees who started the decision support workflow completed it and selected personalized options, an engagement floor that still delivered double-digit outcome improvements.
HealthJoy: $326.92 Saved Per Employee Through Guided Decisions
HealthJoy's 2026 report, independently validated by actuarial firm Axene Health Partners, quantified the dollar impact of AI-guided care decisions. Across 6,011 matched procedures, guided decisions cost 17.79% less than unguided ones — translating to $326.92 in annual savings per employee.
The savings were not evenly distributed. At the 90th percentile of high-cost claims, the per-procedure savings gap widened to $40.19 compared to $13.17 at the median — a 205% greater impact on the most expensive decisions. That pattern matters for HR leaders because it means AI decision support disproportionately reduces the tail-end claims that drive the most budget volatility.
The underlying problem is well-documented: 44% of members sit on suboptimal health plans, paying more than they need to or holding coverage that does not match their actual utilization. AI-driven guidance directly addresses this by matching plan features to individual spending patterns and health profiles.
Nava Benefits: 81% of Queries Resolved Without Human Intervention
Nava Benefits built an AI-native platform that connects producers, service teams, HR departments, and employees on a single system. The results attracted national attention — Alliant Insurance Services announced its acquisition of Nava, citing the platform's ability to transform how benefits are delivered at scale.
The standout metric: Nava's AI resolves 81% of employee support inquiries independently, earning a 4.5 out of 5 satisfaction rating. Complex quoting and renewal scenario modeling that previously took weeks now happens within minutes.
For open enrollment specifically, this autonomous resolution rate means HR teams spend less time fielding repetitive plan-comparison questions and more time on strategic benefits design. Nava's own research notes that HR staff spend as much as 57% of their time on administrative tasks — a burden that AI-powered benefits support directly reduces.
Cascade AI: 9x More Employee Engagement
At Shiseido, employees using Cascade AI's enrollment tools asked nine times more questions during open enrollment compared to the previous year when AI tools were not available. That finding, reported by WorldatWork, signals something important: AI is not replacing employee engagement with benefits — it is unlocking demand that was previously suppressed by friction.
When enrollment questions require scheduling a call with HR, reading a 40-page benefits guide, or submitting a support ticket, most employees default to their existing plan. Research from Nava Benefits confirms the scale of the problem: 66% of employees do not understand their benefits. Instant AI-powered Q&A removes that barrier, surfacing questions employees always had but never asked — and producing measurably better enrollment decisions when they do.
The Industry Opportunity: 87% Have Not Started
Despite these results, the adoption gap remains massive. According to data cited by NIS Benefits from Businessolver, only 13% of companies currently deploy AI tools for open enrollment. An Aon report found that AI-driven communication alone boosts on-time enrollments by 40%.
For HR leaders evaluating AI decision support, the 2026 data makes the case clearer than any projection could: guided employees choose better plans, save more money, and engage more deeply with their benefits. The companies profiled here are not running pilots — they are operating at scale with validated, third-party-audited results.
The window for the 2026 enrollment season is still open. For the 87% not yet using AI, the question is no longer whether to deploy it, but how quickly.
How much can AI decision support save employees during open enrollment?
HealthJoy data shows guided decisions save employees an average of $326.92 annually. Savings are largest on high-cost claims, where per-procedure savings are 205% greater than at the median.
Does AI decision support actually change the plans employees choose?
Yes. Benefitfocus data shows employees who used decision support chose HDHPs at a 67% rate versus 55% for non-users, and enrolled in HSAs at 64% versus 42%.
What percentage of companies use AI for open enrollment today?
Only 13%, according to Businessolver data. The vast majority of employers have not yet adopted AI decision support despite mounting evidence of its effectiveness.