Guided demo
See a ready-made reading before configuring anything.
Choose a flow example, make a simple adjustment and see how Ohrly interprets noise and bottlenecks before the impact becomes obvious.
No integration. No real data in the first contact.
1Choose an example
2Adjust quickly
3See the reading
1. Choose an example
2. Adjust quickly
Duration
Recovery
Propagation
3. See the reading
Selected example
Bot with growing handoff
The flow still works, but shows increasing handoff pressure on WhatsApp for new customers.
State
Operational attention
Recovery pressure
RPI 66/100
Context
WhatsApp + new customers
NormalAttentionDegradation
Why it matters:
This signal can increase support costs, pressure human queues and hide efficiency loss in the automated flow before any formal incident.
Observable signals
Handoff
Fallback
Resolution time
Unresolved sessions
Ohrly does not start with infrastructure. It starts with the flow.
APM sees:
service and errors
BI sees:
results
Ohrly sees:
the flow losing efficiency
The question is not only whether the system is up. It is whether the flow is still working well for the business.