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What moving from eRecruiter to KI BMS actually looks like in 2026.

KI BMS is what people use when eRecruiter stops fitting. Below is the honest side-by-side - same product surface, different posture: hosted in Germany, no third-party trackers, one honest price - plus the migration mechanics that decide whether the switch lands in an evening or in a quarter.
eRecruiter is right when you want an established, mature DACH applicant management that has existed since 2001, that you can run as cloud or on-premise, and that can evaluate over 100 recruiting KPIs. For larger recruiting departments with their own reporting ambitions, and for organisations that need on-premise for regulatory reasons, that's a strong argument. KI BMS is right for modern teams up to 100 staff that want KI pre-sort with reasoning as a default, want to be productive in hours not weeks, and prefer public, monthly-cancellable prices. Both are DACH-centric and take GDPR seriously - they target different generations of buyers.
Switching
The switch goes in three rough phases: export from eRecruiter, import into KI BMS, and reorganise what came over. Most people allocate an evening for it. The export side is where the time goes - eRecruiter hands you a CSV/JSON dump and the field mapping isn't always obvious; once that's resolved the import is a couple of minutes. We don't paywall the import path or pretend it's a pro-only feature, and you can run both side-by-side while you decide.
eRecruiter has accompanied the DACH market since 2001 - an eternity on the software scale, and it shows in maturity. The mobile-optimised careers portal can be deeply adapted to corporate identity and embedded into your own website, including CV drag-and-drop, resume scan and data import from XING and LinkedIn. The feature set covers the full process from job posting to filling the role.
Two things stand out. First, reporting: over 100 recruiting KPIs are a different league than the core metrics a lean tool shows by default. Anyone running a recruiting team with real steering ambitions finds depth here. Second, the on-premise variant: eRecruiter can run not just in the cloud but also in your own data centre. For organisations that may not outsource anything for regulatory reasons, that's a hard selection criterion - and KI BMS simply can't serve it.
KI BMS was built a good two decades after eRecruiter and deliberately weights three things differently. KI pre-sort with reasoning is a default, not an optional module - every role has KI screening available, no surcharge. Onboarding is self-serve instead of a setup project: free tier, onboarding in minutes, no kickoff workshop. And prices are public and monthly-cancellable instead of quote-based with an annual contract.
That's no value judgment on eRecruiter, just a different buyer expectation. Whoever bought an ATS in 2001 reckoned with a setup project and an annual contract - that was normal and still is in larger organisations. Whoever, as a 40-person team in 2026, looks for an ATS wants to publish the first role this afternoon and be able to cancel next month if it doesn't fit. KI BMS is built for that second expectation.
Three questions lead to the right pick. First: do you need on-premise in your own house? Yes, then KI BMS is out and eRecruiter is the answer. Second: how deep is your reporting ambition? Evaluating many KPIs against each other regularly favours eRecruiter; core metrics plus KI pre-sort are enough, then KI BMS is leaner. Third: how fast do you want to start and how flexible do you want to stay? Start today, monthly cancellation, public prices - that's KI BMS.
Find the export option in eRecruiter's account settings. Most tools provide a CSV or JSON download. Save the dump locally - that's the source of truth for the next step.
Open the import tool in KI BMS. eRecruiter's field names rarely match KI BMS' 1:1; the import flags any unmapped columns so you can pair them up before anything commits.
Run the import. KI BMS shows a preview of the first parsed rows in the import dialog so you can sanity-check the column mapping + a sample of records before anything commits. If you're nervous about a large dump, import a small subset first, verify it landed the way you expected, then run the full file.
eRecruiter-specific UI metadata (custom views, saved filters, in-app annotations) doesn't transfer with the data export. Spend an evening rebuilding the views you used most - usually a 30-minute job once you've done it once.
Run both side-by-side for a couple of weeks if you want to be sure. When you're confident, cancel the eRecruiter subscription from their side. KI BMS keeps your export option self-serve in account settings - no lock-in either direction.
Switching from eRecruiter
Free plan, no credit card. We host in Germany. Export + delete are self-serve.
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| Ours KI BMS | Theirs eRecruiter | |
|---|---|---|
XING / LinkedIn import | ||
On-premise deployment possible | ||
Reporting depth (recruiting KPIs) | Core metrics | 100+ KPIs |
KI fit-score with reasoning | Not publicly stated | |
Careers portal + CV parsing | ||
Structured interviews + scorecards | ||
GDPR auto-anonymisation | GDPR-strong, details quote-dependent | |
Hosted in Germany | DACH (cloud) or your house (on-prem) | |
Free tier | 14-day trial | |
Setup time | Hours | Weeks with setup |
Pricing model | Public (€0 / €1 / €10 per month) | Quote-based |
Minimum term | None - monthly | Contractual, usually annual |