Manufacturing & Quality Intelligence
Make your documents work as hard as your processes.
Document Analytics applies AI to SOPs, batch and device records, specifications and regulatory guidance. It digitises paper and scanned records, finds gaps and inconsistencies, and connects documented requirements to how work is actually executed, so documentation becomes a source of intelligence rather than an administrative burden.
- Step 4.2References a superseded intervention form.
- Step 6.1No re-sanitisation requirement after a first-air breach.
Capabilities
What Document Analytics does
Digitisation
Paper and scanned records become structured, searchable data.
Gap and consistency checks
Identify conflicting, outdated or incomplete requirements across documents.
Regulatory mapping
Relate internal procedures to the external guidance they need to satisfy.
Review by exception
Focus reviewer time on the entries that genuinely need attention.
Linked to execution
Connect documented steps to what Visual Intelligence observes on the floor.
Change impact
See which procedures, training and records a change affects.
How it works
From first process to everyday practice.
Every deployment starts with your process owners and the steps that matter most.
- 01
Ingest
Bring in procedures, records and guidance, whether digital, scanned or on paper.
- 02
Understand
AI structures each document and the requirements it contains.
- 03
Check
Gaps, conflicts and missing entries are flagged for review.
- 04
Act
Owners resolve issues with full context, and changes are tracked.
Outcomes
What changes on the floor.
01
Faster reviews
Reviewers focus on exceptions instead of reading every line.
02
Fewer documentation errors
Inconsistencies are caught before they reach an audit.
03
Always inspection-ready
Documentation that reflects how work is really done.
Where it applies
