Step 1
Audit call
Half an hour on your document types, volumes, and how the work gets done today. You'll leave knowing where automation is worth it.
Services
Messy documents in. Clean, structured data out.
Five stages, the audit call through to ongoing maintenance. You only fund the work that earns its keep.
Detect · validate · score
How I build a document pipeline
Step 2
Build the prototype
Extraction running on your real documents. You see the output before we spend more.
Step 3
Business logic & guardrails
Rules, confidence scores, and human review for the weird cases, so bad data doesn't slip through quietly.
Step 4
Deployment
Live in your stack: APIs, tables, CRM, or ERP, with monitoring from day one.
Step 5
Ongoing maintenance
Fixes when something breaks. Help spotting the next document worth automating.
What I do
Four ways I can help
I start with the simplest approach and add complexity only where the documents actually need it. If a rule-based fix gets you most of the way, I'll say so, and we skip the LLM.
Document Extraction Pipeline
Systems that pull structured data out of PDFs, invoices, lab reports, contracts, and email attachments. They hold up against the layout variation and format drift that break simpler tools once you're in production.
Integration & Support
I connect extraction pipelines to whatever runs downstream: Excel, databases, APIs, internal tools. As your document types and volumes change, I stay on to keep it running.
RAG & Internal Chatbots
Once your documents are structured, the usual next question is whether your team can just ask them things. I build retrieval systems and internal chatbots grounded in your own content, with citations back to the source document, so answers stay checkable instead of made up.
IDP Diagnostic & Action Plan
If your document pipeline is failing, I audit your current approach, identify the failure points, and deliver a written action plan with execution steps. Fixed price.
Still processing documents by hand?
Book a free 30-minute audit call. Let's figure out how much time you'd get back by automating the work.
