Ingestion

Purpose of Ingestion

Ingestion establishes the call-intelligence input contract. It captures source artifacts, normalizes metadata, and initializes processing state so transcription and analysis can run consistently.

Supported Source Types

• - Telephony callback-driven recordings (for example Twilio-style workflows).
• - Uploaded media through controlled file-drop ingestion paths.
• - Platform-connected call sources routed through ingestion orchestration.

Source pathways can vary by deployment. Always validate your enabled ingestion channels and operational controls with your implementation team.

Required Inputs

Optional Metadata Fields

• - Campaign or source attribution context.
• - Agent/user identifiers and routing ownership fields.
• - Customer reference IDs and CRM linkage fields.
• - Disposition or case-level context for downstream segmentation.

Validation and Normalization Rules

• - Verify media availability and storage accessibility.
• - Enforce expected file format and parseability assumptions.
• - Normalize metadata keys to canonical field mapping patterns.
• - Apply idempotency and duplicate prevention controls where possible.

Failure Handling and Retry Assumptions

Ingestion and downstream stages should treat source and media failures as explicit operational states rather than silent drops. Retry logic should distinguish between transient issues and non-recoverable payload errors.

Representative patterns include queued/running/retry/dead status transitions, event-based diagnostics, and manual recovery workflows for stuck or invalid jobs.

Downstream Dependencies

Ingestion quality directly impacts transcription accuracy, speaker attribution, analysis precision, and KPI consistency. Missing or malformed inputs can propagate as weak confidence, incorrect routing, and unstable score interpretation.

Related Pages

• Transcription
• Analysis Pipeline
• Integrations
• API Overview
• Product Architecture