How it works

Onaply is built for the ugly middle current systems leave behind.

It is not another static repository for records. It is the workflow that captures messy proof, reconciles the chain, surfaces what is broken, and helps teams decide what can safely move forward.

Step 1

Capture truth at receiving

Pull receiving docs, COAs, lot labels, and supporting evidence into one controlled workflow through phone capture, uploads, and inbound intake.

Step 2

Reconcile the proof chain

Use AI to classify evidence, extract key fields, link lots and batches, preserve provenance, and surface confidence instead of hiding ambiguity.

Step 3

Detect what is broken

When proof is missing, conflicting, or weak, Onaply opens the exception path and stops bad assumptions from quietly moving downstream.

Step 4

Route action deliberately

Run supplier evidence requests, closure workflows, release review, and accepted-risk boundaries through explicit operator control.

Step 5

Prove it on demand

Generate release packets, trace packets, exception closure packets, and audit/customer proof responses without rebuilding the story by hand.

What AI does here
  • • classifies evidence
  • • extracts fields
  • • links records and supporting proof
  • • detects mismatches and missing proof
  • • routes exceptions and drafts proof summaries
What AI does not get to decide alone
  • • final high-risk release approval
  • • accepted-risk overrides
  • • critical closure signoff
  • • governance and policy thresholds
  • • any high-consequence trust decision without explicit human authority