COMPLIANCE
The agents read your records, find the exceptions and show their reasoning. The decisions stay with your people.
THE PROBLEM
The evidence for a batch, a lot or a shipment sits in the ERP, the quality system, the maintenance system, the laboratory system, document control and in paper records scanned into a folder. Someone has to open each one, line it up against the others and find what does not match. That work is manual, it repeats every batch, and it is done by the most experienced people in the plant. When the reading is done for them, their time goes to judgment.
WHAT THE AGENTS DO
The agents do the reading and the cross-checking. Your reviewers do the judging.
01
Read the sources, electronic and scanned.
02
Link every record to one batch, lot or shipment identifier.
03
Compare against the approved baselines: specifications, revisions, approvals and ranges.
04
Raise each exception with its reason and its evidence.
05
Route it to a named reviewer.
06
Follow up until closure, and check that closure happened.
Release, certify or disposition a batch
Close a deviation, investigation or CAPA
File anything with an authority
Write to your systems outside the transitions you approve
Send a message without a named person's approval
Contact a regulatory authority or a customer
Promote itself to a higher autonomy level
Make you compliant. Compliance decisions and accountability stay with you.
INDUSTRIES
Batch record review, market document applicability, deviations and inspection readiness, read across your quality, manufacturing and packaging systems.
Explore →Supplier certificates, allergen changeovers, preventive control records and lot traceability, assembled for your next audit.
Explore →Component identity, master and batch production records, and label claim support, checked against specification.
Explore →Safety data sheet currency, hazard classification and customer compliance questionnaires, tracked without a spreadsheet.
Explore →HOW IT WORKS
The rules that decide whether an exception exists are code, versioned and testable. The language model reads documents and explains findings. It does not decide. Every agent starts by suggesting only, and earns wider autonomy through its approval history and a change control you sign.
How it works →QUALIFICATION
GOOD FIT
NOT A GOOD FIT
Regulated manufacturer with batch or lot records to review
Looking for a system that releases batches or closes deviations
Evidence spread across ERP, quality, maintenance and paper
Wants to replace a QMS, MES or LIMS
Review queues that grow before every release or audit
Expects compliance guaranteed by software
Quality leaders who want reasoning they can check
No named reviewer available to confirm findings
Willing to start with an export before any integration
Needs a cost figure before any working session
FAQ
Does this replace our quality management system?
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No. It reads the quality system and the rest of the landscape and correlates them. Your systems of record do not change.
How can an AI system be validated?
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The rules that decide are deterministic, versioned and testable. The model retrieves and explains. The audit trail is append-only.
Who is accountable if something is missed?
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Your reviewer, exactly as today. The system shortens the queue and shows its reasoning for every finding.
What if our data is messy?
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That is the normal starting point. Extractions carry a confidence score, and anything below the threshold goes to a person.
We cannot give system access yet.
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Start with a spreadsheet export. No integration is needed to see the workspace running on your own data.
Can it run inside our own environment?
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Yes. Decide this before the build, not after.
What does it cost?
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It depends on your sources, volumes and hosting. We discuss it with your numbers in a working session.
Send us an export for one batch or lot. We will run the workspace on your data and walk through what it finds with your reviewer.
How many systems does your team open before it can say a batch record is complete?
