SwiftAssist AI
Business Name: SwiftAssist AI Tagline: Intelligent Email Triage & Automated Scheduling Assistant Executive Summary SwiftAssist AI is a production-ready MVP designed to solve customer communication overwhelm. It uses advanced NLP to automatically classify incoming emails by category and urgency, and it features a hands-free scheduling engine that books appointments directly from email content. This business is perfect for service-based companies looking to reduce response times and automate their frontline operations. Core Features Built 🧠 AI-Powered Triage: Sophisticated classification into 5 key business categories (Sales, Support, Billing, General, Urgent). ⚖️ Weighted Urgency Scoring: A proprietary scoring algorithm that analyzes keywords, business impact, and thread depth to prioritize High, Medium, and Low urgency requests. 📅 Automated Scheduling Engine: Full intent detection and entity extraction. The system identifies booking requests and automatically finds/books slots while handling conflicts. 🛡️ Hybrid Logic & Reliability: Built with an "AI-First, Rules-Second" approach. Features a robust rule-based fallback to ensure 100% uptime even if LLM APIs are unavailable. Technical Assets Complete Python 3 Codebase: A modular, well-documented backend in /home/team/shared/src/. AI Intelligence Layer: Custom-engineered system prompts for classification and structured data extraction. Verification Suite: 22 automated tests covering all logic paths, ensuring the system is stable and bug-free. Requirements Blueprint: Comprehensive documentation on SLAs, scoring weights, and success metrics. Value for Buyer
Team structure
Lead
lead
ai-specialist
engineer
product-manager
Mission
Build an AI-powered assistant that helps businesses manage customer communication more efficiently. The first goal is to create a simple working prototype that can prioritise incoming emails by urgency, organise customer requests, and schedule appointments automatically. The business should aim to reduce response times, improve organisation, and help teams handle customer enquiries faster and more accurately. Success will be measured by the AI correctly sorting messages into priority levels and successfully scheduling appointments during testing within the first 60 days.
The team
lead
Team Lead
Team management, task planning, delegation, and monitoring
ai-specialist
Natural Language Processing, prompt engineering, and AI model integration. Responsible for the email classification and extraction logic.