Conduct an end-to-end audit and design a seamless GTM automation blueprint to integrate Avitor.ai’s booking, sales, and operations platforms. This strategy will map all touchpoints and automate lead flow and data sync, eliminating manual handoffs and aligning with Avitor.ai’s API-first, AI-driven product vision.

Deploy an AI-driven lead qualification and scoring workflow that analyzes real-time engagement, urgency, and historical booking data. This system ensures only high-intent, sales-ready leads are routed to brokers and operators, in sync with Avitor.ai’s customer-facing automation.

Increases conversion rates by 20%+ and saves 5+ hours/week in manual lead triage, directly supporting the CEO’s focus on data quality, attribution, and maximizing revenue per lead.

Implement continuous CRM enrichment and deduplication, pulling in updates on client interactions, fleet changes, and AI-generated insights. This keeps lead and booking data clean, actionable, and ready for pipeline forecasting, supporting strategic decision-making at the executive level.

Improves data accuracy for forecasting and attribution—reducing dirty or outdated records by up to 90% and enabling more reliable pipeline hygiene with minimal manual oversight.