Expertise
Workflow Automation
Most operational work is moving data between systems that do not talk to each other. Automating it is less about AI than about handling the failure cases: the duplicate, the malformed record, the API that is down, and knowing which of those a human needs to see.
In practice
In practice: capturing and enriching leads automatically, reading documents into structured records, and keeping systems in sync without anyone retyping anything.
What it gets used for
- Lead capture and enrichment
- Reading documents into structured data
- Keeping CRM records in sync
- Scheduled operational reporting
Stack
n8nFastAPIPythonWebhooksPostgreSQL
See it running
The projects and case studies show this work in production, with the architecture and the results.