Product
AI Document Pipeline
Turn unstructured documents into structured, actionable data.
Book a free demo
Demo video
See how we work
A short look at our delivery process.
Syncs with the tools you already run
Salesforce • Zoho CRM • Microsoft Dynamics • HubSpot • Pipedrive • Zoho One • Google Sheets • Airtable •
About
AI Document Pipeline in plain terms
AI Document Pipeline is a fixed-bid AI build that turns unstructured documents into structured data. We build a document pipeline on Claude with retrieval, evaluation suites and full observability against your real documents — scoped, fixed, and delivered on a schedule you can plan around, with your team trained and running from day one.
Fixed scope and fixed price — no open-ended retainers
A clear timeline with milestones you can hold us to
Handover, documentation and training included
Features
What's included
The building blocks of every AI Document Pipeline engagement.
01
Claude-powered extraction
Structured fields pulled from contracts, forms, reports or emails.
02
Retrieval-augmented generation
Answers and extractions grounded in your own document set.
03
Evaluation suites
A test set that measures accuracy so changes don't silently regress.
04
Observability
Tracing, logging and cost metrics on every pipeline run.
05
Human-in-the-loop
Low-confidence results routed for review instead of guessed.
06
90%+ accuracy SLA
Measured on your documents, agreed before launch.
How it works
How a AI Document Pipeline engagement runs
A predictable path from kickoff to live.
01
Sample & define
We take a real document sample and agree the fields and accuracy target.
02
Build & evaluate
Pipeline built with an evaluation set scoring every change.
03
Integrate
Outputs land in your database, CRM or workflow tool.
04
Launch & monitor
Go live with dashboards for accuracy, throughput and cost.
Benefits
Why teams choose this
Outcomes, not hours.
Hours of manual keying removed
Documents become structured data automatically.
Measurable accuracy
An eval suite proves quality instead of hoping for it.
No black box
Full tracing and cost visibility on every run.
Fixed price
A fixed $20k–40k build against a defined scope.
Before / after
Before and after
Before
Staff manually retyping documents
No idea how accurate the model is
Silent regressions after prompt changes
Opaque AI spend
After
Automated structured extraction
An eval suite with a measured accuracy score
Every change scored against the test set
Per-run cost and latency dashboards
FAQ
Frequently asked questions
What documents can it handle?
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