Service
Custom AI Integration
Classification, extraction, and analysis powered by GPT and Claude, built into your stack.
Custom AI integration builds GPT and Claude directly into your stack to classify, extract, summarize, and analyze the unstructured data you already have, from messy invoices to call transcripts to intake forms, with output validation and tight cost controls.
What it is
When the off-the-shelf AI tools do not fit, we build the integration. Classify support tickets, extract data from messy invoices, summarize call transcripts, parse intake forms. Built lean, monitored, and with clear cost controls.
Who it is for
Teams sitting on unstructured data (emails, PDFs, transcripts, reviews) that they wish were structured.
How it works
- 1
Scope the data
We find the unstructured data worth structuring (emails, PDFs, transcripts, reviews) and define the exact output you need.
- 2
Build and validate
We integrate the OpenAI or Anthropic API with prompt design, evaluation, and versioning, plus validation and fallback logic so bad output never slips through.
- 3
Control the cost
We monitor spend and rate limits and pick the cheapest model that hits the quality bar, often processing hundreds of documents for single-digit dollars a month.
What you get
- OpenAI or Anthropic API integration
- Prompt design, evaluation, and versioning
- Output validation and fallback logic
- Cost monitoring and rate-limit handling
Past results
- Receipt extraction across 700+ monthly PDFs at $4-9/mo total cost
- Email reply drafting with brand-tuned voice
- Amazon ASIN matching and AI weight estimation across a ~30,000-SKU auto-parts catalog
Related case studies
Custom AI Integration FAQ
Whichever performs best and cheapest for the task. We default to small, cheap models for classification and extraction, and reserve larger models for tone-sensitive work.
Output validation and fallback logic. The integration checks the structure of every result, and edge cases route to a human instead of failing silently.
Often a few dollars a month. One pipeline extracts data from more than 700 PDFs monthly for 4 to 9 dollars total. We monitor spend so it stays predictable.
The next step
Ready to stop doing work a robot should be doing?
15-minute call. No pitch. We tell you what to automate first and what we would charge to build it.