# View AI data

[AI Transformers](/docs/ai/) can convert emails, files, and TXT messages into tables of structured data. You can view this data in the [MailSlurp app](https://app.mailslurp.com/ai) or connect it to your systems using [webhooks](/docs/webhooks/) or 3rd-party integrations with tools like Notion, Excel, and Google Sheets.

## Where to review results
- Dashboard: inspect and validate extracted fields in the [AI area](https://app.mailslurp.com/ai).
- API-driven flows: fetch and process records in your own services.
- Event-driven flows: forward processed output to downstream systems using [webhooks](/docs/webhooks/).

## Result consumption patterns
1. Human review: validate extraction quality, then tune transformer prompts/schemas.
2. Automation: map extracted values into internal workflows (tickets, CRM updates, data syncs).
3. Testing assertions: validate that expected values were extracted from realistic email/SMS fixtures.

## Data quality checklist
- Validate critical fields before triggering side effects.
- Track extraction misses and update schema/prompt definitions.
- Keep destination integrations idempotent to avoid duplicate writes.

## Related pages
- [Define transformer pipelines](/docs/ai-transformers/)
- [Invoke transformations](/docs/ai-invocation/)
- [Output schema guidance](/docs/output-schemas/)