Contract Data Extraction

Contract data extraction with an audit trail back to the source page.

Stop rekeying contracts into your ERP — we encode the extraction field by field, with human approval before anything writes to Sage or Business Central.

  • AI implementation services
  • Latest addendum wins by rule
  • Per-field audit trail to the source page
  • Human approval before the ERP write

Built with the leading AI platforms

NVIDIAAnthropic
Peter Enestrom, founder of Zaigo

Led by Peter Enestrom and the Zaigo AI & engineering team

YaleColumbia UniversityMicrosoft

The broken Friday

Billing quietly runs off last year’s PDF.

From finance and operations teams we have sat inside: PE-backed services companies and distributors whose contract source of truth is a PDF library, not the ERP.

  • Contracts and addendums in SharePoint, rekeyed into the ERP

    Every addendum changes the rates, and someone keys the new price sheet into Sage or Business Central by hand — billing prices from whatever was keyed last.

  • Nobody is checking invoice prices against the contracted price sheet since she left

    A consolidated supplier PDF lands monthly, split by hand into location sub-invoices. The contract-price check belonged to one person — she left, and it left with her.

  • Price updates that arrive at renewal, as a spreadsheet

    Supplier pricing updates show up as an Excel file at contract renewal, with no formal change-notification requirement in between. Whatever drifts mid-contract, nobody sees.

  • Reports that arrive as documents and get re-keyed

    Tank-terminal inventory and status reports land as documents, keyed into the system by hand — at one global chemical distributor running roughly $500M of revenue across multiple ERPs.

  • Delivery changes trapped in the customer-service inbox

    Shipping documents and delivery changes sit as PDF attachments in the customer-service inbox, never reaching the ERP — the system of record is quietly wrong.

What manual costs

The errors are quiet. The drift compounds.

Reported operating examples show where manual work adds up. Your audit establishes the workload, error rates, and costs in your business.

70Pages in one consolidated monthly supplier PDF, split by hand
~34Location sub-invoices keyed from that PDF every month
2 yearsBetween supplier price updates — an Excel file at renewal, nothing in between

From anonymized engagements — PE-backed hospice care, chemical distribution

How it works

Data extraction services for PDFs, emails, and no-API systems.

We encode the extraction field by field. The rules — which addendum wins, which field maps where — become the system, and every extracted value carries a pointer back to the exact source page.

  1. 01

    Map the contract library

    We inventory where contracts live — SharePoint libraries, inbox attachments, scans — trace the addendum chains, and write down which fields your ERP consumes. You keep the map.

    Contract library
  2. 02

    Encode the extraction

    Extraction rules are built field by field against your documents, with confidence scores and a per-field audit trail back to the source page. Latest addendum wins by rule.

    Field by field
  3. 03

    Approve exceptions only

    Humans see only fields the rules cannot resolve — an approval queue, not rekeying. Approved fields write to Sage or Business Central with the source pointer attached.

    Exception queue
Not another tool

New OCR won’t fix a contract that was never encoded.

Extraction vendors lead with accuracy claims; buyers arrive burned and want proof on their own files, not a demo set. Contract abstraction services want the whole library migrated before billing sees a benefit.

Our AI reads every contract and addendum against rules we encode — only the fields your ERP consumes, each auditable back to the exact source page. The encoded extraction runs in parallel with your manual process, compared line by line, before anyone relies on it.

Peter Enestrom, founder of Zaigo
Who builds it

Led by Peter Enestrom.

Co-Founder — leads AI & Engineering

Pete Enestrom

Every engagement is led personally by Pete, working with the Zaigo AI & engineering team from the two-week audit through the production handover. The person who scopes the work is the person who builds it.

Education
Yale & ColumbiaGraduate
Background
Microsoft & IntelFormer
Experience
Exited FounderVenture-Backed

Background

Questions

Asked by controllers and finance leads.

The straight answers, before you book anything.

What’s holding your business back?

A workflow ready for automation. An AI product you want to build. A problem that has sat on the roadmap for years. Let’s talk about what it would take to solve it.

Talk to Zaigo