Source quality
Source notes, review queues, freshness metadata, and publication controls support responsible records.
Trust
Clear limits make the platform safer to use.
The trust model is deliberately conservative: source context stays visible, AI output requires human review, and the product must not imply guaranteed eligibility or funding success.
AI boundaries
AI can assist with summaries and drafts, but users remain responsible for verification and final submission.
Data handling
Tenant-scoped application data, uploaded documents, sessions, and support access need clear governance.
01
Human review stays central
The platform should help users review opportunities and prepare better material, not replace judgement about eligibility, compliance, or strategy.
- Review before publication
- Review before submission
- Review before relying on generated text
02
Operational controls
Production operation depends on deployment checks, backups, timer health, source governance, and support workflows.
- Health checks
- Backup verification
- Source review
- Incident response
Ask about governance before rollout.
Use the contact route for security, privacy, and support questions.