Review the exceptions. Not every page.
Batch review is where releases stall. Batch Records reads the full record and surfaces only what needs a human decision — so your reviewers spend their time on judgment, not on turning pages.
Built for
Somewhere in those pages are the
six entries that matter.
Right-first-time dies in review queues: reviewers turn every page to find a handful of exceptions, releases wait — and page-fatigue is exactly where misses come from.
Every page read. Only the exceptions escalated.
The record gets a complete read; your reviewers get a short list of decisions. That’s the whole idea.
Reads the full record
Every page ingested and read — nothing sampled, nothing skimmed.
Exceptions & anomalies flagged
Inconsistencies, gaps, and anomalies surfaced across the record for human judgment.
Review by exception
Reviewers see what needs a decision — not a stack of pages that don’t.
Human disposition, always
Release decisions belong to your qualified people. The AI prepares the review; it never disposes a batch.
Decisions captured
Every reviewer decision logged, attributable, and reviewable — a clean story for any inspection.
Works with your records
No rip-and-replace: it works alongside how the plant runs today, with integration scoped per deployment.
Four steps from completed record to disposition
Ingest
The completed batch record comes in — every page.
AI reads & flags
The full record is read; exceptions and anomalies are surfaced with their context.
Reviewer decides
Your reviewer works the exception list — judging, annotating, deciding. Every decision is captured.
Cleaner disposition
A faster, better-documented path to release, with the full review defensible after the fact.
Faster release. Fresher reviewers. Cleaner story.
*Time savings of 60–70% observed on targeted workflows, depending on adoption and process fit, validated in proof-of-concept.
Straight answers on Batch Records
Does the AI release the batch?
Never. Disposition is always your qualified reviewer’s decision. Batch Records prepares the review — reading everything and surfacing what matters — and captures the decisions your people make.
What if the AI misses something?
The review is designed as assistance, not replacement: the record remains fully available to the reviewer, every flag is traceable to its location in the record, and your procedures define what human review covers. In a pilot you compare its flags against your own review of the same records — on your data, before you rely on it.
Does it work with our batch records and QMS?
It’s built to work alongside your existing records and systems — no rip-and-replace. Formats and integration scope are agreed per deployment.
How do we start?
The cleanest pilot in the platform: take recently completed batch records your team already reviewed, run them through, and compare. Talk to us to set it up.
Bring one completed batch record
We’ll show you the exception list on a record your team already knows — the fastest honest answer to “would this have caught it?”