The ambient AI
your SAV team already wishes it had.
Listens to your cases. Hears your calls. Surfaces the next action — before dispatch.
Qevor starts inside Salesforce today, then expands into service systems and phone stacks — surfacing the probable cause, likely part, and recommended action before a technician is ever booked.
Probable cause
Heating element failure
Likely part
E9-HTR-2200W
Recommended action
Replace + calibrate
Decision-ready output for support teams before dispatch.
Built to reduce unnecessary dispatch, wrong parts, and repeat visits.
Stack coverage
Salesforce is live today. Everything else is staged on the roadmap.
FSM stacks
Where the cases live today and where they need to live next.
SalesforceLIVE
ServiceNowQ3
IFSQ4
ServiceMaxQ4
PraxedoQ4
SAP
IBM Maximo
Oracle
MicrosoftPhone systems
Listening surface for incoming calls and call-back queues.
3CXQ3
CXoneQ4
RingCentralAPI is the product
No popup. No UI lock-in.
Stripe-pattern infrastructure for SAV.
One JSON call. Cached p99 under 200ms. Salesforce-native today, FSM and phone stacks next. Your engineers wire it in an afternoon — no re-platform, no integration tax.
Request
$ curl https://api.qevor.ai/api/diagnose \
-H "Authorization: Bearer $QEVOR_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"serial_number": "TSC-B-2024-08X-110472",
"symptom": "Turbo Smart Cube — perte aspiration intermittente + alarme inverter"
}'Response
{
"case_type": "PANNE",
"probable_cause": "Panneau commande inverter (code 023739) — défaillance condensateur",
"confidence_score": 87,
"recommended_action": "Remplacement panneau 023739, 25 min onsite, essai CEI EN 62353 post-intervention",
"autonomous_workorder": {
"id": "WO-0001234",
"url": "https://yourorg.lightning.force.com/...",
"created_in": "Salesforce"
}
}Confidence ≥ 85 → autonomous Work Order in your Salesforce, audited. Below threshold → routes to your dispatcher untouched.
Problem
Wrong parts, unnecessary dispatches, and repeat failures come from weak decisions made too early.
Field service teams fail when decisions are made too early.
Not because of weak technicians, but because of weak context. Qevor gives support teams the right call before any technician is committed.
See why dispatch goes wrongLikely failure in the heating assembly
High confidence
Thermal protection issue likely involved
Supporting signal
Drive-side issue remains possible
Secondary signal
Product
How Qevor turns a case into a decision
Qevor gives support teams what is likely happening, what part is likely needed, what should happen next, and whether dispatch is necessary.
Decision step 01
1. Clarify the next move
Before a truck is booked, Qevor gives the team a probable cause, likely part, and recommended action so they can avoid unnecessary dispatch.
Decision step 02
2. Avoid sending the team back
Qevor helps teams catch repeat failures earlier, avoid repeating the wrong part decision, and improve first-time fix on the next visit.
Operations room
One clearer decision before the visit is committed.
Qevor starts inside Salesforce today, then expands into service systems and phone stacks. The point is not another dashboard. The point is getting the probable cause, likely part, and recommended action in front of the human before the visit is ever booked.
Operations room
Salesforce is live. The rest stays on the roadmap.
Salesforce case opened
Serial missing. Symptoms noisy. Dispatch pressure rising.
Live conversation context
Caller confirms the same fault came back after the last visit.
Qevor
Cause, part, action.
A concise recommendation before the team commits the visit.
Probable cause
Heating element failure
Likely part
E9-HTR-2200W
Recommended action
Replace + calibrate
Listen earlier
Pull weak signal out of the case before the team commits to a visit.
Decide with context
Fuse case history, live call context, and machine patterns in one layer.
Protect dispatch
Send the next visit with a clearer cause, part, and action already framed.
Decision layer
Qevor sits between the tools and the human.
Today: Salesforce + first verticals. Next: every FSM and phone stack your team uses.
FSM systems
Salesforce is live. The broader FSM layer rolls out next.
Salesforce
Live input
ServiceNow
Roadmap Q3
IFS
Roadmap Q4
Praxedo
Roadmap Q4
QEVOR
Combines context. Frames the next move.
Probable cause · likely part · recommended action
Call and inbox sources
Phones and shared inboxes join the same decision layer on the roadmap.
Aircall
Roadmap Q3
3CX
Roadmap Q3
CXone
Roadmap Q4
Roadmap input
Human handoff
Dispatcher
Gets the next move before any technician is booked.
Human handoff
N2 support
Keeps the diagnostic thread anchored to a likely root cause.
Human handoff
Call center agent
Receives a concise recommendation without opening another tool.
Proof
A 40-site operator loses €180K a year on avoidable dispatches alone.
Reduce unnecessary dispatch
Avoid sending a technician when the next action is still unclear.
Avoid wrong parts
Reduce avoidable part orders caused by weak decisions before the visit.
Improve first-time fix
Send the next visit with a clearer plan so the first trip is more likely to close the case.
System vision
# 3 lines of Python
import qevor
diagnosis = qevor.diagnose(
serial="EU9-2024-7842",
symptom="no heat cycle"
)Today, Qevor helps teams decide what to do before dispatch. Tomorrow, systems will call the same decision layer directly.
No new workflow. No extra system to learn. Just better decisions before dispatch.
Stop guessing before dispatch. Start deciding.
Bring one live case from your service operation.
We will show you the probable cause, likely part, and recommended action your team can use before dispatch.