Aivi Engagementv1.2.0

A sales rep receives a new phone lead and uses qualify_lead or score_lead to verify phone validity, litigator status, and lead tier before spending time on outreach. This pre-qualification filters out dead or risky leads, saving costly calling efforts.

A marketing team launches a multi-day AI voice and SMS sequence for a list of leads using launch_sequence. The system handles timing and channel selection, and they monitor outcomes via get_outcome to optimize future campaigns.

A customer success manager re-engages lapsed customers by scoring old leads and launching a re-activation sequence. They use decide_next_action to get ML recommendations on the best time and channel to contact each customer.

A contact center supervisor analyzes call outcomes and topics via get_outcome to identify common objections and compliance misses. They use conversational intelligence data to train agents and improve script effectiveness.

A real estate agent qualifies potential buyers by phone number, checking economic propensity indicators and property data via score_lead. They then launch a targeted sequence to schedule property viewings.

Charge clients per lead qualification or scoring event. Each qualify_lead or score_lead costs $0.75, and auto-rejected leads are free. This model works for agencies that process high volumes of leads.

Offer subscription tiers based on sequence types and volume. One-day campaigns cost $1.00, three-day $1.50, twelve-day $3.00 per lead, with add-ons like booking for $1.00. Ideal for recurring lead engagement services.

Provide free ML recommendations (decide_next_action) as a value-add to upsell paid services like lead scoring and sequences. The free insights demonstrate AI value and drive usage of paid skills.