Lightfield CEO demos AI-native CRM that auto-generates 10 prospects from stalled deal

The Gist

• Lightfield CRM built itself by connecting mail, calendar, and call data
• Identified why a Johnson Controls deal stalled via AI analysis
• Turned insights into automation that generated 10 new qualified prospects
• 3,000 customers already using this autonomous GTM approach

• Lightfield's AI-native CRM auto-generates 10 prospects from a stalled deal by analyzing historical data and applying learned patterns.
• The CRM automatically populates and enriches data from connected systems like email, calendar, and call recorders, eliminating manual entry.
• Job postings are a high-signal prospecting source, revealing legacy software usage and pain points.
• Version history on every field enables safe use of autonomous agents by allowing rollback of any changes.
• Automations are discovered by working real deals, not pre-planned, ensuring they reflect actual sales processes.
• Agents inherit human permissions, simplifying security by aligning AI access with existing role-based controls.

• Integrate CRM with email, calendar, and call systems to auto-populate data and eliminate manual entry.
• Use job postings as a prospecting signal to identify companies with legacy software pain points.
• Implement field-level version history to enable safe use of AI agents in CRM workflows.
• Discover automations by analyzing real stalled deals rather than designing them upfront.

• 3,000 (Number of customers using Lightfield CRM.)
• 10 (Number of new prospects auto-generated from a stalled deal.)
• 30-45 minutes (Training time for reps to adopt Lightfield.)
• 14-day (Length of Lightfield's free trial period.)
• 200,000 (Number of contacts managed by an operator's outbound farm.)