Prepare
Bring imperfect reward data
Import payroll, benefits, retirement and equity files. AI-assisted mapping helps turn inconsistent columns into a controlled reward model.
AI-native total reward communication
Turn reward data into a story employees understand.
Import fragmented pay and benefit data, resolve it with AI-assisted controls, then publish a personal reward experience employees can actually use.
UK and US-readyHuman-approvedAPI and CSV workflows
Your total reward
2026 statementTotal reward
$146,820
$8,460 more than last year
Base pay$112,000
Bonus$14,500
Benefits$12,840
Retirement$7,480
Your reward insight
Your employer's retirement contribution added $7,480 to your package this year — 5.1% of your total reward.
Grounded in approved statement data
Ready to publish
1,248 statements
From payroll export to employee clarity
The controlled way to make reward personal.
Less spreadsheet wrangling for HR. Fewer unexplained totals for employees. One governed workflow between the two.
Approve
Catch issues before employees do
Validate totals, review exceptions and approve a frozen statement population before a single employee is notified.
Explain
Make the package feel valuable
Give each employee a clear, branded story with useful explanations grounded in their approved reward figures.
Launch a statement cycle without launching a project.
A focused workflow for reward teams — not another system of record to spend a year implementing.
- 01
Connect the data
CSV today, with partner and HRIS workflows ready.
- 02
Map and validate
Resolve fields, surface exceptions and reconcile totals.
- 03
Review and publish
HR stays in control of the final audience and numbers.
- 04
Measure engagement
See who opened, explored and understood their reward.
Simple, aligned pricing
A small platform fee. Then pay for what you publish.
Start without a six-figure software commitment. Your annual price grows with the number of employees who receive a statement.
Example · 500 employees
$3,000 platform + 500 × $6 = $6,000/year
One charge per employee, per reward cycle. Correcting a draft before publication does not create another charge.
Annual platform fee
From $3,000
Per published statement
From $6
- AI-assisted data mapping and validation
- Branded employee statement experience
- Human approval before anything is published
- Audit trail and statement lifecycle controls
- Drafts and pre-publish re-runs included
Volume pricing is available above 1,000 statements. Complex integrations are scoped separately.
Governance by design
AI can help. It never gets the final say.
Reward data deserves more than a clever prompt. Every AI-assisted action sits inside permissions, validation and human approval controls.
01
Tenant isolation
Every organisation and employee population stays scoped.
02
Human approval
AI assists the work; authorised people publish the truth.
03
Immutable releases
Published statements remain tied to an approved snapshot.
04
Complete audit trail
Track imports, reviews, approvals and delivery events.