Decision space
3
SHOW · REVIEW · BLOCK — canonical machine actions
Latency class
<100ms
Narrow check after generation, not another chatbot
Audit trail
100%
Even blocked answers can leave a receipt
Deploy modes
3
Open source · self-hosted · SaaS pilot
Release-control loop
Your model writes a candidate. SemeAI Gate checks business data, rules, and context — then returns the only decision your product should trust before showing anything.
1
LLM candidate
Fluent text is not permission to ship
→
2
Business facts
Data · rules · risk · context
→
3
Gate decision
Governance semantics applied
→
4
User / audit
Release, review, or withhold
SHOWSupported · safe to release
REVIEWAmbiguous · human path
BLOCKUnsupported · fail closed
Why buyers care
Fluent AI is already in production. Ungoverned release is the risk.
-
1
Stop invented promos & refunds Support bots invent codes when business data is empty — Gate blocks them.
-
2
Contain finance & eligibility claims No proof in business data → REVIEW or BLOCK, not a confident hallucination.
-
3
Keep an audit when you say no Receipts make “we blocked it” provable for compliance and incident review.
Where it fits
Same narrow boundary — many verticals.
Customer support
Promos, refunds, account state.
HIGH ROIFinance ops
Fees, eligibility, return claims.
HIGH RISKInternal tools
Approval bypass & destructive advice.
OPS SAFETYProduct agents
Any LLM that must not freestyle facts.
GENERAL