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KI BMS: the alternative to Lead-Table

What moving from Lead-Table to KI BMS actually looks like in 2026.

Switching
ATS
KI recruiting
Comparison
Finn Glas
Finn GlasCo-Founder + Engineering
·February 19, 2026·
2 min read

KI BMS is what people use when Lead-Table 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.

At a glance

Lead-Table and KI BMS target the same audience: German HR teams that want modern, KI-assisted recruiting. Lead-Table leans into active sourcing and pipeline visualisation. KI BMS is broader: careers page + public application form included, KI fit-score with reasoning as a default, GDPR retention windows built in, public clear pricing. If your recruiting is mostly inbound (public role -> application arrives), KI BMS is the more natural fit. If it's mostly outbound (you source actively), look at both.

Switching

What moving from Lead-Table actually looks like

The switch goes in three rough phases: export from Lead-Table, import into KI BMS, and reorganise what came over. Most people allocate an evening for it. The export side is where the time goes - Lead-Table 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.

KI BMS vs Lead-Table: feature comparison

Ours
KI BMS
Theirs
Lead-Table
Auto-mails on stage change
KI fit-score with reasoning
Kanban pipeline
Active sourcing tools
Talent pool
Careers page included
Limited
Public application form
Per-candidate GDPR retention
Public pricing
Free tier
Hosting region
GermanyGermany
API + webhooks + MCP
API yes

When to pick which

Pick KI BMS when

Recruiting is mostly inbound: you publish a role and applications arrive via the careers page + LinkedIn.
You want to see prices publicly before signing up.
Per-candidate retention + auto-anonymisation should be a built-in default.
A public free tier you can try without contact is important to you.

Pick Lead-Table when

Active sourcing is the main channel: you live in LinkedIn and need tools that pull profiles into the ATS.
You've planned a sales cycle with the vendor and value hands-on onboarding.

Where the two tools overlap

Both tools do what a modern ATS has to do today: create roles, collect applications, drag-and-drop pipeline, KI pre-sorting with reasoning, auto-mails on stage change, GDPR-compliant retention. On that axis we play even.

Where we differ is focus. Lead-Table builds out of the active-sourcing workflow first - their strongest story is 'LinkedIn profile to application'. KI BMS builds out of the inbound workflow first - our strongest story is 'public role to pre-sorted application'. Both are legitimate. Which fits better depends on where your applications come from today.

Pricing - public vs on request

Lead-Table doesn't publish prices on its website at the time of this article. KI BMS does it the other way: €0 / €1 / €10 per month, all on the pricing page, all cancellable monthly. If you read public pricing as a trust signal, we have less friction here.

Step by step
1

Export from Lead-Table

Find the export option in Lead-Table'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.

Account settings → Export / Download data
Pick the broadest format the tool offers (usually JSON)
2

Map fields in KI BMS

Open the import tool in KI BMS. Lead-Table's field names rarely match KI BMS' 1:1; the import flags any unmapped columns so you can pair them up before anything commits.

Account settings → Import
Resolve the mapping prompts the tool surfaces
3

Run the import

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.

4

Re-create your views, tags, saved searches

Lead-Table-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.

5

Cancel Lead-Table when you're confident

Run both side-by-side for a couple of weeks if you want to be sure. When you're confident, cancel the Lead-Table subscription from their side. KI BMS keeps your export option self-serve in account settings - no lock-in either direction.

Switching from Lead-Table

The five questions we get most often before someone moves their data over.

Start with KI BMS

Free plan, no credit card. We host in Germany. Export + delete are self-serve.

Finn Glas

Written by

Finn Glas

Co-Founder + Engineering

Finn is one of the Co-Founders. He owns the engineering side, the infrastructure, and most of the late-night fixes that ship before anyone notices.

finn.glas at aicuflow dot comLinkedInWebsite