Case Study
AI Agents & Payments Infrastructure
Internal AI agents that speed up project delivery, plus a Stripe-based payments tool that saves the client thousands of dollars on invoices.
Client
Industry
Construction / Professional Services (multi-country)
Engagement
AI agents, automations and fintech tooling
URL
Internal tools (client name public)
01
Overview
Alongside the client's core platforms we built an internal AI and automation layer: agents that handle document-heavy work, automations for outreach and internal processes, and a custom payments tool built on the Stripe SDK.
02
What We Built
AI Agents
- Project requirements agent: turns raw client input into structured requirements
- Project review agent: automated review of project deliverables
- PDF intelligence: OCR (Tesseract) and document pipelines that read PDFs, run research and produce reports
- RAG search: Pinecone-backed retrieval over internal documents
Automations
- Outreach automations and internal process automations (n8n) removing repeated manual work
Payments Infrastructure
- Custom invoicing/payments tool built on the Stripe SDK, streamlines client invoice payments end to end
03
Technical Highlights
- OCR + PDF processing pipeline (Tesseract, PDF libraries) feeding AI agents
- Vector search with Pinecone for document retrieval
- FastAPI services running the agent layer alongside the Node.js platform stack
- Payments built directly on Stripe SDK rather than off-the-shelf billing
04
Results
- Thousands of dollars saved internally on client invoice processing
- Requirements and review work that took hours now handled by agents
- Outreach and internal processes run hands-off via automation
05
Stack
- Python
- FastAPI
- Pinecone
- Tesseract
- n8n
- Stripe
- PostgreSQL
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