Service
AI Systems & Document Automation
Custom pipelines that ingest, read, and route your documents automatically.
Custom pipelines that ingest, read, extract, and route your documents automatically — OCR, LLM extraction, validation, and human-in-the-loop review where it matters. Built on proven infrastructure (AWS, FastAPI, Textract, Claude) and engineered for the volume spikes your busiest season throws at it.
What's included
- OCR and document ingestion pipelines
- LLM-based extraction and classification
- Validation queues and human-in-the-loop review
- Built to handle seasonal volume spikes
- Integration with your existing case or practice management systems
Technologies
Who It's For
Best fit
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Legal & insurance firms
Case intake and claims processing where document volume spikes hard around a deadline and manual handling doesn't scale.
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Healthcare & financial services
Patient intake, prior authorization, mortgage and title paperwork — high-stakes documents where every field needs to be read, extracted, and routed correctly.
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Operations-heavy SMBs
Any business where staff time is going into reading and re-keying documents instead of the work that actually needs a person.
The Process
How it works
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Scope the pipeline
If you've run the Automation Readiness Audit, we build from that roadmap. If not, we scope the pipeline directly — ingestion, extraction, validation, routing.
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Build against real documents
OCR and LLM extraction, validation rules, and human-in-the-loop review queues, built and tested against your real documents, not sample data.
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Load-test for peak volume
Your busiest season is the test, not the surprise. The system is engineered for the spike, not just the average day.
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Ship & support
Production deployment, documentation, and monitoring in place before your season starts. Support available once it's live.
Common Questions
FAQ
- How accurate is the extraction?
- It depends on document quality and structure, but I design validation queues around whatever the model gets wrong, so a low-confidence field goes to a human, not into your system unreviewed.
- What happens to documents AI can't handle reliably?
- They route to a human review queue automatically. The system is honest about its own confidence rather than guessing silently.
- Can this handle a volume spike, like a filing season?
- Yes — the architecture is built for burst volume, not just steady-state traffic. I’ve built exactly this kind of seasonal, high-volume filing intake in production.
Next step