Recruitment platform — 200 production workflows, data integrations 25× faster
StepStone needed to tie together data from multiple sources — job listings, analytics, CRM — across their recruitment platform. Previously each new data source integration required two weeks of engineering work to connect.
Started with individual scripts per integration — fragile, nobody maintained them after the original author left. n8n gave engineering and business teams a shared visual layer they could both work on.
200+ mission-critical production workflows.
New data source integrations now take 2 hours instead of 2 weeks — 25× faster. Engineering capacity freed for product work. 'We can speed up the integration of data sources 25×. It takes a maximum of two hours to connect various APIs.' — StepStone tech team.
Frequently asked questions
What did this team achieve with this AI workflow?
200+ mission-critical production workflows.
What tools did this team use?
n8n, Job listing APIs, CRM, Analytics platform.
What results were reported?
Time saved: 25× faster integration; Volume: 200 workflows; Running since: Feb 2025 (source-reported, not independently verified).
What failed first in this deployment?
Started with individual scripts per integration — fragile, nobody maintained them after the original author left.
How is this data ops AI workflow structured?
Data sources → N8n → Analytics platform → CRM.