AI-Powered Global Lead Intelligence & Automation Platform for Sprintzeal

Statement of Work (SOW) AI Automation Expert – AI Lead Generation Agent for Sprintzeal Project Title AI-Powered Global Lead Intelligence & Automation Platform for Sprintzeal Client Sprintzeal. Project Overview Sprintzeal is a global professional training provider offering more than 244 certification and professional development courses across various domains, including Project Management, Cybersecurity, Cloud Computing, IT Service Management, Quality Management, Agile, DevOps, AI, Data Science, Business Analysis, and Leadership. Sprintzeal is seeking an experienced AI Automation Expert to design, develop, deploy, and maintain an AI-powered lead intelligence system capable of identifying professionals worldwide who demonstrate interest or purchase intent related to any of the courses available on the Sprintzeal website (https://www.sprintzeal.com). The solution should automate lead discovery, enrichment, qualification, and daily delivery while complying with all applicable privacy and data protection laws. Project Objectives The AI Agent should: • Automatically identify professionals who are actively showing interest in any of Sprintzeal's 244 courses. • Continuously monitor public sources for buying signals and learning intent. • Generate qualified leads on a daily basis. • Enrich each lead with publicly available professional information. • Deliver qualified leads automatically to Sprintzeal Either on Spreadsheet or Salesforce CRM. Scope of Work The AI Automation Expert shall design and implement an end-to-end AI-powered workflow that includes the following capabilities. 1. AI Lead Discovery Develop AI agents capable of identifying professionals who demonstrate intent to purchase or enroll in certification training. Intent signals may include (where legally permissible and publicly available): • Public discussions regarding certification preparation • Public questions about certification exams • Comments on certification-related posts • Likes or engagements on publicly visible content • Public requests for training recommendations • Searches or content interactions where available through lawful APIs or public sources • Participation in professional forums • Public job postings requiring certifications • Certification-related communities • Webinar registrations (where legally accessible) • Public event participation • Professional discussions related to certification planning The AI should support all 244 Sprintzeal courses. 2. Supported Public Data Sources The AI should be capable of monitoring publicly accessible information from sources such as: • LinkedIn (within platform terms and lawful access methods) • X (Twitter) • Reddit • GitHub • Stack Overflow • Quora • Facebook public pages/groups • YouTube comments • Medium • Google search results • Professional communities • Public discussion forums • Blogs • Public job boards • Conference attendee lists (where publicly available) • Certification communities • Other publicly available professional platforms The solution must avoid unauthorized scraping or violating platform Terms of Service. 3. Lead Qualification The AI Agent should qualify leads based on: • Certification interest • Purchase intent • Training requirement • Employer requirement • Career advancement discussions • Exam preparation • Certification comparisons • Learning-related engagement Each lead should receive an AI-generated intent score. 4. Lead Enrichment For every qualified lead, the AI Agent should collect publicly available information where available, including: • Full Name • Email Address • Phone Number • Job Title / Designation • Company Name • Country • City • LinkedIn Profile • Any Social Public Profile • Employer Website • Industry • Years of Experience (if publicly available) • Course of Interest • Certification Mentioned • Intent Score • Source Platform • Source URL • Date Identified The system should clearly distinguish between verified and inferred information. 5. Geographic Requirements Generate leads from all countries except: • India • Pakistan • Sri Lanka • Bangladesh • And African Continent countries (Except – South Africa, Ghana, Nigeria) The AI Agent should automatically exclude professionals located in these countries. 6. Course Coverage The AI Agent should monitor intent for all 244 courses available on the Sprintzeal website, including any new courses added in the future. The solution should automatically detect newly published Sprintzeal courses and include them in monitoring without requiring significant manual configuration. 7. Daily Lead Delivery The solution should automatically deliver qualified leads every day. Preferred delivery methods include: • CSV • Excel • Google Sheets • CRM Integration • Salesforce • HubSpot • Zoho CRM • API • Email reports The delivery schedule should be configurable. 8. AI Workflow Automation The workflow should operate without manual intervention and include: • Automated monitoring • AI filtering • Duplicate removal • Lead enrichment • Lead scoring • Data validation • Daily reporting • CRM synchronization • Alert notifications • Dashboard updates 9. Dashboard Provide an analytics dashboard displaying: • Daily leads generated • Lead sources • Country distribution • Top certifications searched • Conversion trends • AI confidence scores • Duplicate detection • Weekly reports • Monthly reports 10. AI Technologies The solution may utilize technologies such as but not limited to: • OpenAI • Claude • Gemini • LangChain • LangGraph • CrewAI • AutoGen • n8n • Make.com • Zapier • Python • FastAPI • Vector Databases • Pinecone • Weaviate • PostgreSQL • Elasticsearch • Azure AI • AWS AI Services • Google Cloud AI • Or any other platform (Open for suggestions) The technology stack should be scalable and maintainable. Deliverables The selected AI Automation Expert shall provide: • AI Architecture Document • Workflow Design • Complete Automation Pipeline • AI Agents • Lead Enrichment Engine • Lead Qualification Engine • Dashboard • CRM Integration • Deployment Documentation • Source Code • API Documentation • Maintenance Guide • Administrator Training • User Documentation Success Criteria The project shall be considered successful when: • AI identifies qualified leads daily. • Duplicate leads are minimized. • Lead qualification is automated. • Daily reports are generated without manual effort. • The system operates reliably with minimal downtime. • Integration with Sprintzeal systems is functional. • The solution complies with applicable data protection laws and platform terms. Compliance Requirements The solution must comply with applicable laws and platform requirements, including but not limited to: • GDPR • CCPA (where applicable) • CAN-SPAM • Platform Terms of Service • Applicable privacy and data protection regulations The system must rely only on lawfully obtained and publicly available information or data for which appropriate permissions exist. It must not collect or infer personal information through unauthorized scraping or other prohibited methods. Preferred Experience The ideal AI Automation Expert should have experience in: • AI Agent Development • Multi-Agent Systems • Lead Intelligence Platforms • Workflow Automation • LLM Integration • CRM Automation • Data Enrichment • AI Search Systems • API Development • Enterprise Automation • Python Development • LangChain • LangGraph • CrewAI • n8n • Make.com • Vector Databases • Cloud Deployment • Prompt Engineering Or any other solution (Open for suggestions) Expected Outcome Sprintzeal expects a fully automated AI-powered lead intelligence platform that continuously identifies qualified professionals worldwide who demonstrate interest in certification training, enriches those leads with publicly available business information where legally available, qualifies them using AI, and delivers high-quality leads daily for sales engagement. Note, I am expecting people from any part of the world who can work on this, we can communicate through Meeting links and whoever, gives the best quote and time line will be selected for the project.