compliance_monitoring · workflow
Fullscript reduces security investigations by 97% and saves 3,600 hours per year with n8n
Fullscript's AI/ML engineering team was a bottleneck for employee-led AI workflow creation, while security account investigations took weeks or months and compliance teams manually reviewed 13,000 call recordings per month.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Security monitoring triggers investigation
Fullscript's Security Investigations and Monitoring System triggers a workflow to verify the account user.
Tools used
n8nSlack · partnerGoogle Docs · partner
Outcome
With n8n, Fullscript reduced security investigations by 97%, saving 3,600 hours of engineering time per year and cutting investigation time from weeks to half an hour. The compliance workflow saved hundreds if not thousands of hours for the customer care team. More than 200 employees now use n8n with 23 workflows in production.
What failed first
Fullscript tried various low-code/no-code solutions before finding n8n.
Results
Time saved3600 hours
Volume97%
Grounding & classification
Source type: vendor customer story
33 fields verified against source quotes.
agentic workflowai agentsummarizationcall recordingfailure mode describedmetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedhealthcareautomation ratecycle time reductionemployee productivitytime savedvendor customer storyback office opscompliance monitoringincident managementautonomous resolutionextract classify route