Enterprise CRM Operations
Live URL: https://crm.enriquesamaniego.com · Previously named: AI-Powered CRM
Centralizes customer accounts, leads, commercial opportunities, and follow-up activities in a single cloud database protected by Row-Level Security (RLS) and automated webhook notifications.
What It Solves & For Whom
Commercial teams frequently operate with disconnected sales pipelines and client records scattered across spreadsheets, email threads, and manual notes. This fragmentation causes missed follow-ups, inconsistent pipeline reporting, and weak access control over sensitive customer data.
Target users: B2B sales teams, account managers, and operations leaders who need structured pipeline tracking without enterprise licensing bloat.
My Personal Contribution
Defined the commercial data model, operational stages, and access security rules; architected the Supabase PostgreSQL schema with Row-Level Security (RLS) policies; configured outbound webhook triggers; and built the web application using AI-assisted engineering in Google Antigravity.
Replaced fragmented lead spreadsheets with a centralized, access-controlled commercial database. Provides a single source of truth for opportunity status, follow-up accountability, and structured pipeline visibility.
Live web application hosted at crm.enriquesamaniego.com. Built with synthetic/demo-safe operational boundaries to protect database integrity.
Before you launch: the demo opens at a sign-in screen. Select “Create Temporary 24h Demo” to explore with synthetic data. No real client data is used.

Modern Web Frontend
Responsive pipeline views, contact records, opportunity cards, and activity tracking.
Session Authentication & RLS
Enforces user authentication and row-level data isolation directly inside the database engine.
Relational Commercial Store
Normalized tables for accounts, leads, opportunities, stages, and follow-up logs.
Event Webhooks
Dispatches outbound JSON notifications when lead or deal statuses change.
Built and iterated using Google Antigravity for AI-assisted code generation, schema validation, and security review, compressing the engineering cycle from months to weeks.
Runtime operations are deterministic: authentication, PostgreSQL relational integrity, Row-Level Security (RLS), and webhook workflows. It does not rely on black-box LLM scoring to make commercial decisions.

