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Making a $100M group
legible

A global digital media group, hundreds of employees, decades of history, mid-restructuring. The operating logic that actually ran the business lived in a handful of heads and thousands of unread documents. Our job: make it visible, fast, so the owners could decide with facts.

667
contracts converted, read and distilled
434
agreements structured into one term sheet
11
financial reports reconciled into one P&L truth
Weeks
from data-room zip to decision-ready picture

The problem

The group was profitable but opaque. Revenue attribution lived in conflicting spreadsheets. Contract obligations were scattered across hundreds of PDFs nobody had read end to end. The real margin drivers were known to exactly the people whose departure would erase that knowledge. A restructuring was coming, and every decision needed a picture that did not exist.

What we did

  • Document intelligence at scale. Converted 667 archive PDFs to analyzable text, including OCR on hundreds of scans, then extracted fourteen structured fields per agreement.
  • Financial forensics. Reconciled eleven yearly reports into one coherent P&L, surfacing where the numbers disagreed and finding a multi-million dollar variance along the way.
  • Knowledge extraction. Dozens of leadership interviews and recordings synthesized into a living knowledge base: who knows what, what depends on whom, and the unwritten why behind key decisions.
  • The single fact that changed the plan. The mapping surfaced that most of the group's margin depended on one revenue mechanism nobody had quantified. That fact reshaped the entire restructuring.
OUTCOME

Decision-grade clarity

Owners could finally see revenue per contract, workload per team and risk per dependency, and decide keep, cut or automate from evidence.

OUTCOME

Knowledge that stays

The operating knowledge of key people now exists as a structured, queryable asset the company owns, whoever comes or goes.

METHOD

AI plus judgment

AI read the documents; human judgment asked the questions, caught the contradictions and named the risks. Neither works alone.

STACK
ClaudeOCR pipelinePythonStructured extraction
"The most valuable fact in the company was written down nowhere. We found it in an interview."

Is your business legible?

If the honest answer is "only to two people", this engagement exists for you. It scales down to SME size gracefully.

Map my business