Operations automation · New York · 2026

AI invoice intake, from message to record.

Invoices arrive the way the team already works. AI reads the document, extracts the fields, checks confidence, and routes only exceptions to a human review queue before clean records are written back.

ClientNorthbeam
IndustryWorkflow Automation
Year2026
AI workflow automation · New York

The challenge

The workflow problem we were asked to solve.

The team needed to keep a fast, message-based intake process while removing the manual data entry behind it. Invoices, notes and updates were being interpreted by people, then copied into operational tables. The risk was not only time lost; it was stale records, missed exceptions and manual mistakes.

  • Documents and notes arrived through informal channels at unpredictable times.
  • People manually extracted fields and created records after the fact.
  • Exceptions were hard to separate from routine intake work.
  • The system of record was only as current as the last manual update.

What we built

The build, step by step.

No-code where it fit, custom code where it mattered, and a usable system at the end.

01

Preserve the existing habit

The workflow starts where the work already arrives. Instead of forcing a new intake app, we connected the existing channel to an automation layer behind it.

02

Let AI read, then verify

AI extracts fields, summarizes context and flags uncertainty. Rules check required fields and obvious mismatches before anything reaches the system of record.

03

Route exceptions to humans

Routine records move through automatically. Unclear items land in a review queue with the original source, extracted fields and the reason for review.

04

Write clean operational records

Approved data is written back as structured records with timestamps, status and audit context, ready for dashboards and downstream workflows.

The results

Manual intake work moved from constant copying to exception review. The team kept the channel they liked, while records became cleaner, faster and easier to audit.

AIdocument extraction
Reviewonly for exceptions
Cleanstructured records
Liveworkflow visibility

“The goal was not a flashy AI demo. It was a workflow our team could trust every day.”

PlugWheelBuild note

Automation audit · free

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