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Aggregates:
Normalizes into a feature store for intent, quality, and revenue feedback loops.
Models:
Typical methods:
Anomaly detection to suppress spam/low-quality sources
A rules + ML policy layer that:
Operates as closed-loop optimization against qualified inbound calls, not vanity KPIs.
Deploys and tests call-centric surfaces:
Runs A/B + multivariate experimentation, promoting winners using call volume + quality signals.
Implements:
No AI speaks with customers; intelligence is applied pre/post capture:
Optimize (budget/bids/targeting/creative via learning loop)
Calls answered by your humans, using your existing process

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