AI-Powered LinkedIn Outreach & B2B Sales Automation Platform Developer Project Overview

AI-Powered LinkedIn Outreach & B2B Sales Automation Platform Developer Project Overview We are looking for an experienced freelance developer or a small specialist development team to design and build an end-to-end, AI-powered LinkedIn outreach and B2B sales automation platform. The objective is to develop a scalable system that identifies relevant business professionals, analyzes their professional profiles and companies, generates highly personalized outreach messages, manages communication and follow-ups, discovers and verifies corporate email addresses, schedules meetings, and synchronizes all relevant information with a CRM. This is a freelance development project with clearly defined milestones and deliverables. We are looking for someone who can take ownership of the technical architecture and deliver a working, production-ready solution—not simply provide lead lists or generic lead-generation services. Confidentiality: Company identity, brands, products, and commercial relationships will be disclosed only to shortlisted candidates if required. 1. LinkedIn Sales Navigator & Target Audience We already have access to LinkedIn Sales Navigator and can identify relevant target profiles and companies. The platform should support: • Working with target profiles and companies identified through LinkedIn Sales Navigator. • Organizing prospects by industry, company, job title, seniority, location, and other relevant criteria. • Focusing on B2B technology, industrial software, engineering, manufacturing, R&D, and digital transformation markets. • Managing prospect lists, campaigns, and communication history. • Preventing duplicate contacts and maintaining structured prospect records. The main objective is not data collection alone. It is to build an intelligent outreach and sales automation infrastructure. 2. AI-Powered Personalized LinkedIn Outreach This is one of the most important parts of the project. We need an AI-powered system capable of analyzing each prospect and generating natural, relevant, context-aware outreach messages. The system should: • Analyze the prospect's LinkedIn profile, professional experience, current position, and responsibilities. • Analyze the target company's website and publicly available business information. • Understand the company's activities, industry, potential business challenges, and possible technology needs. • Generate personalized InMail messages based on the prospect's role and company context. • Avoid generic, repetitive, or obviously automated messages. • Support different outreach scenarios, campaign templates, and follow-up strategies. • Allow human review and approval where appropriate. The goal is to create communication that feels relevant and individually written rather than mass-generated. LinkedIn automation and compliance The solution must use technically feasible and permitted integration methods. It must respect LinkedIn's terms, platform restrictions, messaging entitlements, and applicable usage limits. We will not accept unauthorized scraping, prohibited browser automation, session impersonation, CAPTCHA bypassing, or techniques designed to evade LinkedIn's security systems. Candidates should clearly explain how they propose to implement compliant outreach at scale, including any platform limitations and permitted integration options. 3. AI-Powered Corporate Email Discovery & Verification When a prospect's corporate email address is not publicly available, the platform should attempt to discover and verify it. Expected capabilities: 1. Identify the prospect's current company. 2. Research the company's official website and corporate email domains. 3. Identify alternative domains where relevant. 4. Research publicly available corporate email address patterns. 5. Generate possible email addresses based on the person's first and last name. 6. Verify and classify the resulting addresses. Each discovered address should be classified as: • Verified • Unverified • Risky • Invalid Email verification performance target We aim for a minimum 70% verified corporate email coverage across eligible target profiles. This should be measured as the number of verified corporate email addresses divided by the number of eligible target profiles—not simply the number of generated email candidates. Email verification should not rely exclusively on SMTP checks. The solution should also support monitoring actual email campaign performance, including: • Email delivery rate • Hard bounce and soft bounce rates • Email verification rate • Open rate • Domain reputation • Campaign performance Email opens should be treated as an indicative metric rather than definitive proof of validity, since privacy features and automated image loading can affect open tracking. The system should use these metrics to continuously improve email discovery and verification quality. 4. n8n Workflow Automation We expect n8n to be used as the central workflow automation platform, supported by technologies such as Python, REST APIs, AI/LLM services, and third-party integrations where appropriate. The workflows should automate: • Prospect processing and enrichment • Company and profile analysis • AI-generated personalized messages • LinkedIn outreach management • Response monitoring and classification where supported • Follow-up workflows • Email discovery and verification • Meeting scheduling • CRM synchronization • Dashboard data updates • Error handling, alerts, and reporting The architecture should be modular, maintainable, and scalable. 5. Response Tracking & AI Classification The system should track outreach activity and analyze incoming responses wherever permitted functionality is available. AI should classify responses into categories such as: • Positive interest • Negative response • Neutral response • Request for additional information • Meeting request • Follow-up required • Not relevant The platform should provide clear visibility into communication history, response status, and recommended next actions. 6. Automated Meeting Scheduling Outreach messages should include a meeting-booking link. Prospects should be able to select an available time slot based on the team's calendar availability. Expected functionality: • Integration with Google Calendar, Microsoft Outlook, Calendly, or an equivalent solution. • Automatic availability synchronization. • Booking confirmation. • Automatic calendar event creation. • Notification to the assigned meeting owner. • Meeting details synchronized with the CRM. • Meeting status tracking. 7. CRM Integration All relevant prospect and communication data should be synchronized with a selected CRM through available APIs. Each prospect should be created or updated as a Lead. The CRM integration should include: • Contact and company information • LinkedIn profile reference • Job title and professional details • Email address and verification status • AI-generated profile and company insights • Outreach campaign history • Message and response status • Follow-up activities • Meeting information • Lead status and qualification details Duplicate management and reliable data synchronization are essential. 8. Centralized Analytics Dashboard We require a centralized dashboard providing visibility into the entire outreach and sales development process. The dashboard should include: Lead & Prospect Analytics • Total profiles and companies processed • Industry and job-title distribution • Email discovery and verification coverage • Verified, unverified, risky, and invalid email counts LinkedIn Outreach Analytics • Messages sent • Delivery and sending statuses where available • Total responses • Response rate • Positive response rate • Follow-up performance • Campaign comparisons Email Performance Analytics • Email delivery rate • Bounce rate • Hard and soft bounces • Open rate • Domain reputation • Email verification performance Meeting Analytics • Meetings booked • Meeting conversion rate • Meeting owner • Meeting status and attendance, where available CRM & Sales Analytics • Leads created and synchronized • Lead status distribution • Qualified Leads • Lead-to-opportunity conversion, where CRM data supports it The dashboard should be intuitive, easy to use, and suitable for ongoing business monitoring. 9. Cloud Deployment, Reliability & Security The platform should operate continuously in a cloud environment with minimal daily manual intervention. Requirements include: • 24/7 workflow execution • Monitoring and alerting • Error handling and recovery mechanisms • Secure API and credential management • Database reliability and backups • Scalable architecture • Activity and audit logs • Technical documentation • Secure access management Human approval should be configurable for sensitive outreach activities and AI-generated content. 10. Expected Deliverables The selected freelancer or team will be responsible for delivering: 1. Technical architecture and implementation plan. 2. LinkedIn outreach infrastructure using permitted integration methods. 3. AI-powered prospect and company analysis. 4. Personalized InMail generation. 5. Outreach campaign and follow-up management. 6. Corporate email discovery and verification module. 7. n8n workflows and automation infrastructure. 8. Calendar and meeting-booking integration. 9. CRM integration. 10. Centralized analytics dashboard. 11. Cloud deployment and 24/7 monitoring. 12. Error handling, security, and backup mechanisms. 13. Complete source code and workflow ownership. 14. Technical documentation and handover. 15. Testing and production deployment. 11. Suggested Project Phases We prefer a milestone-based development approach. Phase 1 – Architecture & Proof of Concept • Technical feasibility assessment • LinkedIn integration and compliance approach • Initial n8n workflows • AI personalization demonstration • Email discovery and verification test Phase 2 – Core Platform Development • AI-powered prospect enrichment • Personalized outreach generation • Email discovery and verification • Campaign and follow-up management • Initial analytics dashboard Phase 3 – Integrations & Production Deployment • CRM integration • Calendar and meeting-booking integration • Cloud deployment • Monitoring and alerting • End-to-end testing Phase 4 – Optimization & Ongoing Support • Performance improvements • Email verification optimization • AI personalization improvements • Campaign analytics optimization • Maintenance and technical support, if agreed 12. Required Freelancer Experience We are looking for a senior developer or a small specialist team with proven experience in several of the following areas: • LinkedIn Sales Navigator and compliant outreach automation • n8n workflow automation • AI/LLM integrations and intelligent agents • Python development • REST API integrations • B2B lead enrichment and data processing • Corporate email discovery and verification • CRM integrations • Google Calendar / Microsoft Outlook integrations • Analytics dashboards • Cloud infrastructure and database management • Scalable automation systems Experience with tools such as Clay, Apollo, Hunter, Dropcontact, Instantly, Smartlead, or equivalent platforms is an advantage, but we are open to your technical recommendations. 13. Questions to Answer in Your Proposal Please address the following questions in your application: 1. Have you previously developed LinkedIn Sales Navigator-based outreach or automation solutions? Please describe your experience. 2. How would you technically implement high-volume, personalized LinkedIn outreach while respecting LinkedIn's policies and limitations? 3. What architecture and technologies would you recommend for this project? 4. What is your experience with n8n and complex automation workflows? 5. How would you analyze LinkedIn profiles and company websites to generate genuinely personalized messages? 6. How would you discover and verify corporate email addresses, and how would you measure the 70% verified email coverage target? 7. How would you integrate email delivery and campaign performance data into the verification process? 8. Have you built CRM and calendar integrations before? 9. Can you share examples of relevant automation platforms, dashboards, or AI-powered systems you have developed? 10. What would be your estimated timeline and development budget for each project phase? 14. What We Expect We are not looking for a simple lead-generation service or a tool that only collects LinkedIn profiles. We want a developer or team capable of designing and delivering a complete AI-powered B2B outreach and sales automation platform—from prospect analysis and personalized communication to email discovery, meeting scheduling, CRM synchronization, and performance analytics. We value technical ownership, clear communication, practical problem-solving, security, scalability, and long-term maintainability. Please submit a proposal outlining your recommended architecture, relevant experience, estimated timeline, and milestone-based budget.