[ Automated ] pipelines do the typing, humans approve[ NS · inbox-document-automation ]
Inbox & Document Automation
AI reads the inbound flood of emails, PDFs and forms, and turns it into clean, reviewed data your team approves, not retypes.

[ 01 ] The problem
A large share of your operation runs through a shared inbox. Requests, instructions, claims, changes, and documents arrive as unstructured text and attachments, and a person has to read each one, understand it, and re-key it into a system. It's slow, monotonous, the single biggest source of operational drag, and where errors creep in. Off-the-shelf tools choke on the messiness: the real attachments, the forwarded threads, the half-completed forms, the formats that change every quarter.
[ 02 ] What we build
- A pipeline that ingests inbound mail and documents and uses AI to classify and extract the fields that matter.
- A human-in-the-loop review workspace showing the original alongside extracted data, with field-level confidence scores.
- Low-confidence items flagged for attention; a person approves before anything is committed.
- Output is a clean import file or structured record, never an auto-sent action.
- Every approval, edit, and rejection is logged. The 'pipelines do the typing, humans approve' rung.
[ 03 ] What you get
- An ingestion pipeline for your inbound channels (shared inbox, attachments, common document formats)
- An AI extraction and classification layer tuned to your document types and fields
- A human-in-the-loop review workspace with field-level confidence scores and flagging
- A structured output (import file or record) ready for the downstream system
- A full audit trail of every extraction, edit, approval, and rejection
- A small fixed-fee extraction proof up front, so you see accuracy on your real documents before committing
Why it matters
- The rung behind the headline numbers
- Marshall Peters cut document-review time by 70% with reviewed AI extraction in an insolvency CRM
- One client freed 900 minutes of operational time a day (≈£120,000/year) by moving inbound onto a reviewed pipeline
- The team stops typing and starts approving
