About This Architecture

SalesBoost is a five-phase sequence architecture for lead management and automated outreach, orchestrating user input through Next.js/React frontend, Node.js/Supabase backend, AI classification, and multi-channel messaging. Data flows synchronously from user action through frontend and backend to Supabase database, then asynchronously triggers AI-powered lead analysis and workflow engine execution. The Workflow Engine applies trigger-condition-action logic to route qualified leads to WhatsApp, Instagram, or Facebook via the Messaging Service. This architecture demonstrates event-driven automation with clear separation between synchronous data capture and asynchronous AI processing, enabling scalable lead nurturing without blocking user interactions. Fork this diagram on Diagrams.so to customize phases, add new messaging channels, or integrate alternative AI providers and databases. The self-loop patterns show internal processing within the AI Engine and Workflow Engine, critical for understanding where business logic complexity lives.

People also ask

How does a sales automation platform orchestrate lead capture, AI analysis, and multi-channel messaging in a sequence architecture?

SalesBoost uses a five-phase sequence: Phase 1 captures user actions in Next.js/React frontend; Phase 2 stores data in Supabase; Phase 3 runs asynchronous AI classification; Phase 4 executes trigger-condition-action workflows; Phase 5 logs activity and updates dashboards. Synchronous calls handle data capture, while async patterns enable AI processing and messaging without blocking user interactio