AI CRM Lead Intelligence & Predictive Scoring
An intelligent CRM layer that evaluates incoming form leads, enriches company data, scores intent based on behavioral browsing, and notifies sales reps who to call first.
The Problem
What difficult challenge is this experiment tackling?Sales reps waste hours calling low-intent student inquiries or competitor bots because traditional CRMs score leads purely on basic static form fields.
The Hypothesis
What do I believe autonomous AI & engineering can accomplish?Combining web session depth, firmographic company enrichment, and LLM behavioral evaluation allows reps to prioritize the top 10% highest-converting enterprise buyers instantly.
System Architecture & Workflow
End-to-end design, data pipelines, and component interactionBenchmark & Empirical Metrics
Accuracy • Latency • Cost • Token Usage • Human InterventionLead scored and enriched within 18 seconds of form submission; 32% lift in sales qualification rate in modeled tests.
Security, Privacy & Ethical Guardrails
Risk mitigation, strict boundaries, and sandbox controlsStrict GDPR/CCPA data minimization; zero scraping of private social profiles without explicit business consent.
Lessons Learned & Observations
Empirical findings from prototyping and testingHigh-intent signals (multiple visits to pricing, documentation, and security pages) outweigh company size in conversion models.
Next Experiment Iteration
Upcoming modifications, scaling factors, or new hypothesesAuto-generate personalized first-touch email drafts for sales reps based on the visitor’s exact site reading path.