Implement a system that automatically enriches and cleans CRM data by integrating real-time signals from Salesforce, Snowflake, and external enrichment APIs. This ensures accurate, up-to-date information for AI-driven offer management and seamless reporting across FLYR’s modular platforms.

Deploy an automated workflow engine that syncs lead, opportunity, and revenue data across Salesforce, HubSpot, and key analytics platforms (e.g., BigQuery, Snowflake). This system streamlines lead handoff, automates enrichment, and triggers personalized AI-driven campaigns, all while maintaining forecast hygiene during rapid expansion.

Saves 6–10 hours per week per ops/rev user by eliminating duplicate data entry and manual sync, while increasing pipeline velocity and reducing slip in forecasted revenue by 10% during periods of rapid growth.

Set up an AI-driven outbound system that automatically identifies, scores, and engages leads from website visits, LinkedIn interactions, and email activity. Integration with Salesforce enables real-time scoring and prioritization, ensuring sales reps focus on the highest-propensity segments for personalized outreach.

Boosts conversion rates by 18–25% (based on ICP/industry benchmarks) and shortens SDR qualification time by up to 70%, directly supporting the balance between scaling efforts and subscription revenue trade-offs.