For HR Teams

Benefits intelligence for people leaders

Stop relying on annual surveys to guess what your workforce needs. Toduba gives HR teams a continuous read of employee preferences, so every renewal decision is grounded in data, not intuition.

Request a demo How it works

The Challenge

Where HR teams lose time and credibility

Mid-size HR teams face a familiar bind: too many benefit variables, not enough reliable data, and a renewal cycle that arrives before last year's feedback has been properly analysed.

Data gap

Surveys that arrive too late

Annual engagement surveys close months before the renewal window. By the time results are processed, the team is already committing to the next year's package without current signal.

Manual work

Configuration taking weeks

Assembling benefit tiers across health, pension, and flexible spending accounts means cross-referencing multiple spreadsheets, broker quotes, and provider portals simultaneously.

Credibility

Difficulty justifying choices

When leadership asks why the budget was allocated as it was, HR must rely on general industry benchmarks rather than workforce-specific data. The recommendation lacks a quantified basis.

The Solution

Continuous preference intelligence, not point-in-time surveys

Toduba reads passively available signals: claim utilisation patterns, flexible spending choices, and enrolment decisions. It builds a living model of what each workforce segment values, updated with each renewal cycle.

  • Preference segments built from 24 months of claim and enrolment history
  • AI-generated configuration recommendations with budget impact projections
  • One-click export ready for board presentation or broker submission
  • GDPR-compliant data handling with Italian DPA framework alignment
See it in action
Preference signal by segment 24-month claim and enrolment read Health Pension Flexible Wellbeing Senior staff 94% 78% 34% 61% Mid career 83% 62% 72% 45% Early career 56% 28% 91% 77% Caregivers 97% 67% 82% 39% High preference (75%+) Moderate (40-74%) Low (<40%) Generated by Toduba AI Updated 2026-07-14

How It Works

From data ingestion to board-ready recommendation

Toduba connects to your existing HR and insurance data in three steps, then delivers a ranked recommendation that your team can adjust, approve, and export.

01

Connect your data sources

Link your HR information system, insurance claim exports, and flexible spending data via secure API or CSV upload. Toduba normalises and anonymises the data before analysis begins.

02

Review the preference model

Within 48 hours Toduba surfaces a segmented preference map grouped by tenure, life stage, and role family. HR can inspect each segment, annotate findings, and flag outliers before the model is finalised.

03

Generate and approve the configuration

Toduba generates a ranked set of benefit configurations against your stated budget. Select the preferred scenario, adjust individual levers, and export the final recommendation directly to your broker or board deck.

See Toduba working with your data

Book a 45-minute personalised demo and let a benefits specialist walk you through the full preference modelling and configuration workflow.