01
Connect
Use the conversation data and account context already available in the partner platform.
- recording or transcript
- source metadata
- account and location context
How it works
From raw conversation to product-ready intelligence.
Gensail connects to the data layer, interprets every eligible conversation, normalizes what happened, and returns structured records to the platform.
The intelligence pipeline
One durable layer between conversation data and action.
02
Interpret
Analyze every eligible conversation with vertical models built around real business outcomes.
- intent and urgency
- outcome and friction
- opportunity and follow-up
03
Normalize
Turn natural conversation evidence into consistent fields and confidence-scored records.
- controlled taxonomy
- linked evidence
- confidence and versioning
04
Deliver
Return intelligence through an agreed data interface for the partner product to use.
- structured API records
- batch or event delivery
- partner-owned experiences
Example output
A consistent record, not another block of prose.
Exact fields are mapped to the partner use case, but the principle stays the same: evidence-backed, normalized intelligence that software can use.
{
"schema_version": "healthcare_call.v1",
"intent": "emergency_visit",
"opportunity": "high",
"outcome": "not_booked",
"friction": "insurance_verification",
"follow_up_priority": "urgent",
"confidence": 0.94,
"evidence": ["..."]
}Product boundary
Gensail supplies intelligence. The platform supplies the experience.
GensailModels · taxonomies · evidence · structured signals
Partner platformReports · workflows · agents · customer experience
Platform partnerships
Add vertical conversation intelligence to your platform.
Map the data you already own, the intelligence your customers need, and the right delivery model.