AI Benefits Configuration

Benefits that fit how your team actually spends

Toduba reads 18 months of claim history and reshapes your flexible benefit mix for next year, inside the same budget.

100% budget allocated
Health 38%
Transport 22%
Wellbeing 18%
Childcare 13%
Learning 9%

The Problem

Most HR teams renew benefits without knowing what employees actually used

Claim data exists in your insurer's portal. Budget limits are known. But when it's time to configure next year's mix, decisions still rely on gut feeling and last year's vendor pitch.

The result: underclaimed categories stay oversized. Popular benefits stay underfunded. Employees feel the gap, HR teams don't see it until renewal season starts again.

Toduba closes this loop. No new data collection, no change in benefit vendor, no additional IT integration. Just a model that reads what already happened and tells you what to do differently.

How It Works

From claim export to configuration recommendation in three steps

1. Read Claim history by category 18-month window 2. Model Preference signals per segment category utilization patterns 3. Recommend Budget-neutral mix for next year
01

Read

Export 18 months of claim data from your existing insurer portal. Toduba ingests category-level spend per employee cohort, no personally identifiable data required.

02

Model

The preference engine identifies utilization patterns by benefit category and workforce segment. It distinguishes habitual use from one-off claims to surface reliable signals.

03

Recommend

A revised benefit mix is output in your existing configuration format. Budget totals are preserved. You review and approve before anything changes with employees.

Capabilities

Built for mid-size employers configuring benefits annually

Budget-neutral modeling

Recommendations never exceed your declared budget envelope. Reallocation happens within the same total spend, not as an argument for more funding.

Category-level utilization signals

See which benefit categories are systematically underclaimed versus oversubscribed. Identify drift before it compounds across renewal cycles.

Segment-aware recommendations

Benefit preferences differ by workforce segment. Toduba surfaces segment-level divergence so HR can make informed choices about whether to differentiate the mix.

Configuration export

Output is formatted for direct use in your HR information system or benefits administration platform. No manual re-entry, no translation layer required.

Annual refresh cycle

Designed around the HR calendar, not a continuous data stream. Run analysis once per year ahead of renewal. Configuration remains stable until the next cycle.

GDPR-compliant processing

Data is processed on EU infrastructure under a standard data processing agreement. Category-level aggregation removes individual identifiability before any model runs.

Use Cases

The right fit for different roles in benefits decision-making

HR Teams

Prepare for renewal with data you already have

HR teams spend weeks preparing for benefits renewal with spreadsheets and vendor conversations. Toduba compresses that preparation into a structured analysis that starts with what employees actually claimed, not what vendors propose.

See how HR teams use Toduba
Total Rewards

Align benefit mix with total rewards strategy

Total Rewards leaders need to justify benefit configuration decisions to finance and leadership. Toduba provides a defensible model: here is what the workforce used, here is what the model recommends, here is why the mix should shift.

See how Total Rewards uses Toduba

Join the early access program

Toduba is accepting its first design partners from mid-size employers in Europe. No commitment required for the pilot phase.

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