Release notes summary
memberDraft prompt pending manager review before team reuse.
Teams
Review, approve, and reuse AI work with clear readiness signals and evidence-ready controls. This is governance at the human decisions layer: review gates, readiness states, and exportable evidence.
Most teams have AI access, but they lack a shared way to control quality. Foryn gives managers a review gate, readiness states, and reuse signals so teams stop guessing what is safe to use and start building consistent AI output under real constraints.
For managers and team leads, this is where reusable AI work gets reviewed before team-wide adoption.
Team member drafts
Release notes summary
memberDraft prompt pending manager review before team reuse.
Manager queue
Project status narrative
queueStatus update prompt drafted for weekly leadership review.
Customer escalation response
queueEscalation prompt with next-action framing and escalation path.
Team library
Incident brief template
libraryPreviously approved prompt now available in team library.
Archive
Rejected cards appear here for record and audit context.
These controls support teams that need evidence without slowing work down. Foryn keeps review decisions visible and exportable, so standards are enforceable and governance is practical.
These controls govern human review and approval behavior in daily AI-assisted work.
Least-privilege access
Restrict workspace capabilities by role.
Enforced
Role policy logs
Personal stays personal by default
Keep personal work out of team defaults unless approved.
Enforced
Default visibility policy
PII acknowledgement
Require explicit acknowledgement when sensitive data is involved.
Required
Acknowledgement events
Optional redaction flags
Flag and sanitize high-risk content before reuse.
Available
Flag activity history
Rate limits on invites and submissions
Reduce abuse and throttle high-volume actions.
Enforced
Rate limit events
Sanitized audit metadata
Preserve review traceability without storing sensitive payloads.
Enforced
Audit-ready metadata export