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Every Callaro call moves through a predictable lifecycle.

1

Dial or resolve inbound

Callaro either places a call from an approved number pool or receives an inbound call that is mapped to the correct tenant, number, and agent context.
2

Load agent configuration

The runtime loads the active agent, voice, script rules, knowledge sources, and action permissions.
3

Run adaptive conversation logic

The model follows the script, branches based on caller responses, and retrieves knowledge when the response requires grounding.
4

Execute actions safely

When the conversation meets the right conditions, Callaro can update CRM fields, log notes, or create a calendar event.
5

Persist outcomes

On call completion, the platform writes the transcript, recording metadata, extracted fields, tool calls, timing, and billing context.

Lifecycle observability map

Lifecycle stagePrimary signalTypical failure to watch
Dial or inbound resolveProvider acceptance, call start timestampsNumber health/routing mismatch
Agent loadConfig + permissions load successMissing/invalid agent dependencies
Conversation runTranscript turn progressionPrompt drift or tool-call errors
Action executionCRM/calendar action resultThird-party auth or rate-limit failures
Outcome persistenceSession + export availabilityPartial-write or delayed indexing

Operational recommendations

  • Alert separately on dial failures, action failures, and persistence failures.
  • Use webhook + API reconciliation for high-confidence downstream processing.
  • Keep retries idempotent by request/session identifiers.
This lifecycle is designed so teams can choose between push and pull models. You can subscribe to webhooks, query call logs directly, or use both together.