Benefits & Total Rewards

    Optimize the second-largest line item on your P&L

    Model plan design trade-offs, optimize HSA/FSA strategies, provide personalized enrollment decision support, and monitor benefits compliance — turning total rewards from cost center to retention lever.

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    Benefits Models
    ACA
    Compliant
    AI
    Enrollment Guide

    Challenges We Solve

    Common pain points that structured decision models eliminate.

    Benefits Overspend

    Plan costs rise 6-8% annually with little visibility into drivers. Model plan design trade-offs, identify cost optimization levers, and forecast utilization by segment.

    Enrollment Confusion

    Employees pick the wrong plans and leave value on the table. Decision support models recommend optimal plan-benefit combinations based on individual needs.

    Compliance Gaps

    ACA affordability, COBRA administration, ERISA fiduciary duties — regulatory requirements multiply. Automated compliance scanning with remediation workflows.

    Retention Disconnect

    Competitive total rewards data is stale by the time you act. Benchmark packages against real-time market data and model the retention impact of benefit changes.

    Use Cases

    How teams use DecisionLedger to make better decisions.

    VP of Total Rewards

    Models plan design trade-offs across medical, dental, and HSA options before renewal season — comparing cost impact, employee satisfaction, and utilization projections side by side.

    Saved $1.2M annually by optimizing plan design before renewal lock-in

    Benefits Manager

    Uses the open enrollment decision support model to provide personalized plan recommendations for each employee based on family size, expected utilization, and tax advantages.

    Employee plan satisfaction scores increased 28% after guided enrollment

    CHRO

    Runs the total rewards retention model to benchmark compensation and benefits packages against market data, identifying where the company is losing talent to competitors on total rewards.

    Identified that dental and HSA gaps were driving 15% of voluntary turnover

    Measurable Impact

    Based on platform benchmarks across early adopters.

    Plan Design Cycle

    Broker-driven renewals

    Model-backed optimization

    Data-driven design

    Benefits Cost

    6-8% annual increases

    Targeted optimization levers

    $1.2M saved annually

    Enrollment Quality

    Employees guess wrong

    AI-recommended plans

    28% satisfaction increase

    Compliance Monitoring

    Annual ACA review

    Continuous scanning

    Real-time compliance

    Connects With

    Workday BenefitsADP BenefitsbswiftBenefitfocusPlanSource

    Featured Models

    Pre-built decision models ready to run with your data.

    Benefits Compliance Radar

    Scans benefits program for compliance risks across ACA, ERISA, HIPAA, COBRA, and state mandates, scoring each area and recommending remediation.

    Risk Matrix
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    Benefits Data Quality

    Scores benefits data quality across enrollment, claims, and eligibility feeds, detecting anomalies and estimating cost of poor data quality.

    Anomaly Detection
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    Benefits Equity Subsidy

    Scores equity of employer subsidy structures across income tiers, identifies regressive subsidy patterns, and recommends progressive alternatives.

    Weighted Sum (MCDA)
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    Hsa Fsa Optimizer

    Optimizes HSA/FSA contribution strategies based on employee demographics, expected utilization, and tax advantages.

    Linear Programming
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    Open Enrollment Decision Support

    Predicts best-fit plan per employee household using utilization, risk tolerance, and budget preferences; outputs plan comparisons and OOP ranges.

    Weighted Sum (MCDA)
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    Plan Design Tradeoff

    Models plan design changes and estimates premium and member OOP impact.

    Scenario Modeling
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    Total Rewards Retention

    Connects benefits richness to retention and offer acceptance risk by job family.

    Weighted Sum (MCDA)
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    Voluntary Benefits Optimizer

    Scores and ranks voluntary benefit offerings (pet insurance, legal, identity theft, etc.) using multi-criteria decision analysis based on employee demographics and market benchmarking.

    Weighted Sum (MCDA)
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    How It Works

    Three steps to structured, auditable decisions.

    1

    Analyze Total Rewards

    Benchmark compensation and benefits against market data. Model the total cost of rewards packages across employee segments and geographies.

    2

    Optimize & Design

    Run plan design trade-off models, optimize HSA/FSA strategies, and score voluntary benefit adoption scenarios against cost and retention impact.

    3

    Enroll & Monitor

    Provide personalized enrollment decision support, track utilization trends, and monitor compliance with automated ACA and ERISA scanning.

    Replace Your Stack

    Benefits is your second-largest expense after payroll. When's the last time someone modeled whether you're getting ROI on any of it?

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    Broker-driven renewals

    Accepting rate increases because your broker says 'that's the market' — without counter-models

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    Benefits admin platforms

    Enrollment systems that process elections but can't analyze whether plans are optimal

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    Spreadsheet plan comparisons

    Side-by-side cost tables that miss utilization patterns and retention impact

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    Annual benchmarking surveys

    Stale compensation data from 12 months ago that doesn't reflect current market

    All in one governed platform

    Start with Benefits & Total Rewards today

    7-day free trial. Start making governed decisions today.