Ask questions across CAPA, deviations, tasks, documents, training, and audit evidence in plain language.
All Meteor products
Cross-product AI analyst
Smart AI Partner
For teams that need answers across quality records without manually assembling reports from several products.
"Quality data can be controlled and still be difficult to use. Smart AI Partner helps permitted users ask a direct question, see the records behind the answer, and understand the result before taking action."
What it helps you do
Return structured answers with visual summaries, tables, record references, confidence, and a concise reasoning summary.
Respect product scope and user permissions before retrieving or presenting controlled records.
Flag missing, conflicting, or low-confidence evidence for human review instead of presenting uncertainty as fact.
Connect the work around Smart AI Partner
Permission scopeEvidence sourcesConfidenceHuman reviewVisual resultsRecord links
Interactive product preview
Ask Smart AI Partner about quality operations
Ask an operational question and inspect the answer, visual summary, records, evidence, and reasoning.
You asked
Which open CAPAs need attention before Friday?
Smart AI PartnerHigh confidence
Three open CAPAs need attention. CAPA-0248 has the highest immediate risk because its effectiveness check is due in two days and the supporting evidence is incomplete.
Attention by cause
Reasoning summary
- Filtered open CAPAs to the user-permitted sites and current workflow states.
- Compared due dates, blockers, approval state, and evidence completeness.
- Ranked records by deadline proximity and unresolved quality risk.
CAPA registerAction trackerEffectiveness checksApproval history
Priority records
| Record | Site | Next action | Due | Status |
|---|---|---|---|---|
| CAPA-0248 | Plant 1 | Attach verification evidence | 2 days | At risk |
| CAPA-0221 | Plant 2 | QA approval | 3 days | Pending |
| CAPA-0256 | Plant 1 | Confirm action owner | 4 days | Watch |
What it does
Smart AI Partner turns controlled records into useful, reviewable answers.
Finds permitted records across connected Meteor products and organizes them around the user question.
Explains the answer with supporting evidence, confidence, and visible limitations.
Suggests relevant follow-up questions and controlled next actions without bypassing approval gates.
How it works
1Understand question
2Check permission
3Retrieve evidence
4Build answer
Easy for users
Ask naturally. Verify the evidence. Act with context.
Users ask questions in everyday language instead of learning report builders or database fields.
Tables, metrics, timelines, and links appear only when they make the result easier to inspect.
A concise reasoning summary shows how the available evidence supports the answer.
Why pharma and manufacturing teams notice the difference
Why regulated teams need more than a generic chatbot
The product is designed for everyday users first: clear tasks, visible state, controlled evidence, and enough structure for QA, plant, supplier quality, and manufacturing leaders to trust what happened.
Key features
Answers shaped around permissions, evidence, confidence, and human review.
Ask questions across CAPA, deviations, tasks, documents, training, and audit evidence in plain language.
Return structured answers with visual summaries, tables, record references, confidence, and a concise reasoning summary.
Respect product scope and user permissions before retrieving or presenting controlled records.
Flag missing, conflicting, or low-confidence evidence for human review instead of presenting uncertainty as fact.
Users ask questions in everyday language instead of learning report builders or database fields.
Tables, metrics, timelines, and links appear only when they make the result easier to inspect.
A concise reasoning summary shows how the available evidence supports the answer.