back_office_ops · workflow
SanctifAI builds Human-AI collaboration platform using n8n
SanctifAI needed a horizontally scalable, distributed, and composable way to integrate human workers into AI agent workflows without building or maintaining a custom in-house codebase.
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 · Customer creates workflow
Customers create unique workflows and assign workforces to specific tasks in the Customer Portal.
Tools used
n8n
Outcome
n8n became the core of SanctifAI's products, enabling access to 400 diverse and highly specialized workforces. The first n8n workflow was built in little over two hours — three times faster than writing Python controls for LangChain — and product managers can now build and test directly without engineering bottlenecks.
What failed first
SanctifAI evaluated LangChain tools but found they lacked the flexibility needed to incorporate the custom logic required by the platform.
Results
Time savedlittle over two hours
Volume400
Grounding & classification
Source type: vendor customer story
22 fields verified against source quotes.
agentic workflowai agentfailure mode describedhuman review describedmetric backednamed customerproduction runtime claimedsource backedtools describedvendor confirmedworkflow describedsoftwarecycle time reductionemployee productivityvendor customer storyback office opsagentic task executionhuman review queue