Compliance monitoring · Production

Fullscript reduces security investigations by 97% and saves 3,600 hours per year with n8n

The problem

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.

First attempt

Fullscript tried various low-code/no-code solutions before finding n8n.

Workflow diagram · grounded in source
1
Security monitoring triggers investigation
trigger
“Fullscript's Security Investigations and Monitoring System triggers a workflow to verify the account user”
2
Slack bot verifies data
integration
“A Slack security bot handles the data verification”
3
Workflow parses and analyzes all data
ai_action
“automates security investigations – parsing all available data, gathering feedback, and determining if the report requires further analysis – in a matter of minutes”
4
AI agent summarizes findings
ai_action
“the workflow then summarizes the findings with an AI agent”
5
Google Docs audit report
output
“produces a comprehensive report for audit in Google Docs, including suggested next steps”
6
Compliance call recording automation
ai_action
“Another n8n workflow has saved thousands of hours for the customer care team, reducing a tedious manual task down to a simple AI automation”
Reported 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.

Reported metrics
Security investigation reduction97%
Engineering time saved per year3600 hours
Investigation durationweeks to just half an hour
Compliance team hours savedhundreds, if not thousands, of hours
Show all 9 reported metrics
security investigation reduction97%
engineering time saved per year3600 hours
investigation durationweeks to just half an hour
compliance team hours savedhundreds, if not thousands, of hours
employees using n8nmore than 200
workflows in production23
workflows created at hackathonmore than 130
organization adoption ratemore than 30%
monthly call recordings reviewed pre-automation13,000
Reported stack
n8nSlackGoogle Docs
Source
https://n8n.io/case-studies/fullscript/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

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.

What tools did this team use?

n8n, Slack, Google Docs.

What results were reported?

Security investigation reduction: 97%; Engineering time saved per year: 3600 hours; Investigation duration: weeks to just half an hour; Compliance team hours saved: hundreds, if not thousands, of hours (source-reported, not independently verified).

What failed first in this deployment?

Fullscript tried various low-code/no-code solutions before finding n8n.

How is this compliance monitoring AI workflow structured?

Security monitoring triggers investigation → Slack bot verifies data → Workflow parses and analyzes all data → AI agent summarizes findings → Google Docs audit report → Compliance call recording automation.

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