7 in 10
leaders say fast and nimble is their primary competitive strategy.
Deloitte 2026
HR MODERNIZATION FOR DACH
For Heads of HR, Talent Acquisition leaders, and Recruiting-as-a-Service teams that want to accelerate candidate pipelines with AI without losing quality, approval, or compliance awareness.
GDPR & EU AI Act aligned · Human-in-the-loop · vendor-neutral · works-council ready
Sourcing sprint
Review-ready pipeline
Scorecard
Signals
Human review
HR teams are expected to deliver AI ROI without violating GDPR or the EU AI Act, and often on a tool stack that does not work together.
7 in 10
leaders say fast and nimble is their primary competitive strategy.
Deloitte 2026
1.6×
tech-first AI approaches are more likely to fall short of ROI expectations.
Deloitte 2026
<5%
of HR teams believe they have reached maximum HR tech impact.
Mercer 2025
AI-ready HR is not a tool choice. It is a process, governance, and operating-model challenge.
We start with roles, decisions, data flows, and operating model.
Humans keep control of quality, communication, and decisions.
Recommendations follow your target state, not a vendor partnership.
Portfolio
Start focused with a pilot before you scale. Each service is concrete enough for an initial scope and flexible enough for real organizations.
Service
A clear read on your HR processes, tools, compliance risks, and automation potential — with roadmap and quick wins.
Service
Vendor-neutral selection and simplification of your HR tech stack — fewer tools, better integration.
Service
From hours of profile research to review-ready candidate lists: AI-assisted sourcing workflows with human approval.
Service
EU AI Act and GDPR readiness for HR tools — with Quickscan, mapping, documentation, and works-council involvement.
Service
So modernization actually sticks: implementation, adoption, change, and continuous improvement.
Framework
Transparency beats transformation fog. You see early what work should happen in what order.
Make processes, tools, data flows, risks, and bottlenecks visible.
Prioritize, sharpen requirements, and design realistic target workflows.
Build workflows, enable teams, and improve measurable impact.
Sourcing Automation
Good sourcing means understanding the role, defining the search space, reading profiles, comparing signals, and preparing outreach. We turn that work into an AI-assisted workflow that consistently reviews thousands of permitted profile signals against your criteria and prepares a reasoned shortlist for human review.
20-30 min.
to a review-ready sourcing list in a pilot run
2,000-9,000
profile signals depending on source, role, and data quality
1 scorecard
so criteria are applied consistently instead of by gut feel
Role scorecard and search logic
AI-assisted profile review
Shortlist with rationale per candidate
Outreach drafts for approval
ATS/CRM export-ready structure
Data minimization and channel review
The timing and profile range are pilot benchmarks, not a blanket performance promise. Source, role profile, integrations, usage rights, and data quality determine the actual scope.
Quickscan
In about two minutes, get a snapshot of your AI, GDPR, and modernization maturity — plus a concrete next step.
Interactive
Answer ten questions. Your result appears immediately; email is optional if you want the summary sent to you.
Question 1 / 10
We help HR teams identify AI use cases, assess risks, document decisions, define human oversight, and involve Legal, data protection, and works councils. Jungbrunnen HR does not provide legal advice — we provide implementation-ready documentation and workflows your legal and data-protection teams can review.
Different stakeholders need different entry points. The common denominator is HR that works in a modern and reviewable way.
Strategy, governance, and modern HR delivery.
More sourcing capacity without lowering quality.
Responsible sourcing workflows with review.
Fewer manual handoffs, better data flows.
Documentation, transparency, and audit trails.
Newsletter, playbooks, tool comparisons, events, and HR automation templates — curated for DACH instead of global hype.
Next step
A focused first conversation is enough to clarify the role, data sources, review logic, compliance questions, and the most useful entry point.