Trust is a controlled system,
not a badge.
See what is demonstrated, what is a production requirement, and what still requires independent assurance.
Demonstrated in this demo
Interactive synthetic-data patterns- Human decision gates
- AI provenance and controlled evidence links
- Illustrative evidence-pack structure
- Deterministic deadline and applicability patterns
- No autonomous root cause, disposition, approval, or closure
Production control requirements
Required before regulated pilots- Tenant isolation and enterprise identity
- Encryption and key management
- Retention, accurate-copy export, and deletion
- Backup, restore testing, and disaster recovery
- Secure SDLC, monitoring, vulnerability management, and incident response
- Data residency, subprocessor oversight, and documented AI data-use policy
Independent assurance status
No unearned seals or claims- SOC 2 Type II Planned — not attested
- ISO/IEC 27001 Roadmap objective — not certified
- WCAG 2.2 AA Design target — formal audit pending
- HIPAA / BAA Not offered; public demo is not authorized for PHI
Technical controls support validation.
They do not replace it.
Part 11 applicability depends on the record, intended use, predicate rule, and operating controls. Production language will describe technical controls supporting customer validation and compliant use; no agency certification is implied.
Part 11 control design previewIdentity, linked signature meaning, audit trail, accurate copies, and retention requirementsSpecified
EU GMP Annex 11 mapped expansionLifecycle, QRM, suppliers, periodic review, backup/restore, security, and continuityRoadmap
Customer intended-use validationURS, risk assessment, traceability, tests, deviations, and release approvalRequired
Primary references: 21 CFR Part 11 · FDA scope guidance · EU GMP Volume 4
Know what kind of statement you are reading.
- 1Source factExact controlled-record passage and version
- 2System calculationDeterministic rule, inputs, output, and timestamp
- 3Model inferenceModel/version, prompt, retrieval snapshot, uncertainty, and limits
Accept · edit · reject are attributed and logged
Abstain on source conflict or insufficient evidence
No autonomous root cause, reportability, disposition, CAPA approval, effectiveness verification, or closure
Production policy target: customer data is not used to train shared models
Do not enter regulated, confidential, personal, or health information. Production security, privacy, availability, and assurance evidence must be independently established before regulated use.