Early Adopter Program

Job titles you can rely on.

Job Title Harmonizer matches every position title to your job architecture, your own or a public standard like ESCO or O*NET. AI proposes the match, you confirm it, and clean results go back into your source system or org.manager.

One job, ten titles. One title, ten jobs.

Local naming, reorgs and manager-defined titles quietly erode your job architecture.

The result?

Compensation & Benefits can't benchmark, workforce planning can't model future needs, and manual cleanup only holds for a few weeks.

Job Title Harmonizer brings every title back in line with your approved job architecture.

How the Job Title Harmonizer works …

The AI suggests the closest match, but the decision is always up to you.

IdentifySelect the target population you want to harmonize.
AI suggestsAI recommends the closest catalog match with a confidence score and a readable justification.
ReviewThe responsible reviewer confirms or overrides. Nothing changes without approval.
ExportConfirmed results leave as CSV, for import into your source system or use in org.manager.

... and where it pays off

Data consistency

Continuous screening of positions keeps titles from drifting.

For: Catalog owners, HR IT

Pay transparency

Comparable jobs as the foundation for grading and pay transparency reporting.

For: Comp & Ben

Mergers & acquisitions

Map acquired positions onto your existing architecture, deal by deal.

For: HR IT, architecture owners

Built to be trusted

Human in the loop. Every match is confirmed or overridden by a person.
No personal data needed. A position title is the minimum; org unit, description or grade improve results.
Your catalog, or a public one. Use ESCO, O*NET or your own job catalog. You don't need one to start.
Hosted in Microsoft Azure. You can choose the data center region.
Not used for training. Your data is never used to train AI models.
German and English. Job titles in both languages are supported

Shape it with us: Early Adopter Program

A small group of customers gets early access and can help decide what comes first – API-based integration, building a first job architecture from your existing positions, and pay transparency reporting. Participation is free of charge.

Initial conversation about your use case and available data.
You provide suitable test data.
Together we evaluate the AI recommendations and iterate on data, configuration and results.

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