What it is: An intelligent engine that automatically analyzes every incoming lead and assigns a qualification score (0-100) based on engagement signals, firmographic data, and behavioral patterns. What you get: - Custom scoring algorithm tailored to your ICP (Ideal Customer Profile) - Real-time analysis of lead source, company size, industry, and intent signals - Automatic categorization: Hot (90-100), Warm (70-89), Cold (50-69), Disqualify (<50) - Integration with your existing lead capture forms (website, LinkedIn, email) Technical implementation: Cloudflare Workers + AI model (Gemini 2.0) trained on your historical conversion data.

What it is: A BPMN-orchestrated process that routes leads through validation gates, enriches data, and triggers actions based on score. What you get: - Multi-stage qualification funnel (Discovery → Validation → Routing) - Automatic data enrichment (company info, social profiles, tech stack) - Smart routing rules: High-intent leads → Sales team, Low-intent → Nurture sequence, Spam → Auto-archive - Email/Slack notifications for hot leads (real-time alerts) Technical implementation: Visual BPMN workflow with decision nodes, parallel processing, and error handling.

What it is: Seamless two-way sync between the AI system and your CRM, ensuring your sales team works from a single source of truth. What you get: - Bi-directional sync with Pipedrive, HubSpot, Salesforce, or custom CRM - Automatic lead creation with enriched data and AI score - Status updates flow back to the workflow (e.g., "Deal Won" triggers analytics) - Custom field mapping to preserve your existing CRM structure Technical implementation: REST API integration with webhook listeners for real-time updates.

What it is: A clean, real-time interface where you monitor pipeline health, review AI decisions, and adjust scoring rules. What you get: - Live metrics: Total leads processed, qualification rate, conversion funnel - AI decision transparency: See why each lead was scored the way it was - Manual override controls: Promote/demote leads if AI misses context - Historical analytics: Track performance trends over time Technical implementation: SaaS-grade UI built with modern web stack, hosted on Cloudflare Pages.

What it is: Post-launch support to ensure smooth operation and optimize the system based on real-world performance. What you get: - Bug fixes and technical troubleshooting (response time: <24h) - AI model tuning based on first-month conversion data - Training session for your team (async video walkthrough) - Workflow adjustments if your ICP or process changes Technical implementation: Async-first support via email/Slack + optional video calls for complex issues.