AI that takes on concrete tasks.Not "AI-powered" as a label.
We have been building sourcing software for DACH since 2014. The AI in Talentwunder has five clearly scoped jobs. Each one replaces manual recruiter work. Not the recruiter's judgement.
11 years of DACH experience · 5 concrete AI jobs · Boolean + AI · No black box
What does AI in recruiting actually do?
AI in recruiting takes on tasks that used to be manual: turning CVs into structured profiles, prioritising candidates by likelihood of changing jobs, explaining why a profile fits a role, generating Boolean queries from natural language, and suggesting personalised outreach drafts. Talentwunder bundles these five jobs in one surface, with traceable reasoning instead of black-box ranking.
Which AI vendor runs underneath is not your problem. The output is.
The five concrete AI jobs
Every job is visible in the product. You can trace its effect in the UI.
- 01
Enrich data
CVs and public signals are turned into structured, searchable fields. No PDFs living inside an attachment.
Job 01
- 02
Set priorities
Sort by likelihood of changing jobs, activity signals, and relevance. Not by the order results appear in the source network.
Job 02
- 03
Explain relevance
"Why this profile" shows the match logic in plain text. Skills, experience, location, activity. Weighted and visible.
Job 03
- 04
Search and outreach
From Boolean query to personalised message draft. Both in the same tool, both grounded in the same profile data.
Job 04
- 05
DACH sourcing agents
Task-specific automation that knows German job titles, XING particularities, and DACH compliance.
Job 05
Common questions for this page
The most relevant answers at a glance. The full catalogue lives in the FAQ.
- Five things: (1) it turns CVs into structured profiles, (2) it prioritizes candidates by change probability and activity, (3) it explains why a profile is relevant, (4) it supports both search and outreach messaging, and (5) it powers agents built for DACH sourcing workflows.
- Both. Experts who need AND, OR, NOT, brackets and wildcards get the full Boolean syntax. Teams who want natural-language search use the AI mode. Same platform, same results, different input.
- A Super Profile is a consolidated candidate profile that merges information from every network a person is visible on into a single structured record. Skills, roles, employer history, activity signals. One place, one format, no manual stitching.
- Four signals per company and candidate: Loyalty (employee retention), Competitiveness (attractiveness), Career (career momentum), Diversity (diversity indicators). They help with prioritization and outreach strategy.