The automation gap
Enterprise companies have invested millions in AI automation. SMBs have largely been left behind — not because the technology isn’t there, but because implementation has been too complex and too expensive. That’s changing fast.
What we automate for clients
Lead qualification
We hook n8n or Make into a CRM and run new leads through a GPT-4 classification flow. Sales teams stop wasting time on cold leads.
Invoice & document processing
Using document AI (Google Document AI or Azure Form Recognizer), we extract structured data from PDFs and push it straight into accounting software.
Customer support triage
Fine-tuned models route support tickets by urgency and category before a human ever sees them.
The stack we use
- n8n for workflow orchestration
- OpenAI API for text classification tasks
- Vercel AI SDK for building chat interfaces
- Supabase for storing structured outputs
What it costs
A typical automation project runs $8k–$25k depending on complexity, with time-to-ROI usually under 3 months.