How Evan's List built a full-stack AI automation suite for a Texas construction company — from lead scraping to AI voice agents — turning manual processes into a hands-free growth engine.
A side-by-side look at how operations changed in under two weeks.
Data flows automatically from government permit records to qualified phone conversations.
Every system is production-ready, documented, and running autonomously.
Automated scraper pulls fresh permit applications from 7 Central Texas counties daily. Leads are cleaned, deduplicated, and pushed into the CRM with full contact enrichment via skip-trace APIs.
Deep analysis engine that processes Facebook Messenger conversations to extract leads, score engagement quality, map conversion funnels, and identify high-value message patterns that drive the most conversions.
Intelligent chatbot monitors incoming Facebook messages 24/7 and runs a multi-turn conversation flow. Uses data-driven message templates derived from the highest-converting phrases found in lead analysis.
Webhook middleware that connects the CRM to AI voice calling agents. When new permit leads arrive, the system queues them and has an AI agent call to gauge interest — updating pipeline stages automatically.
Audited 1,269 CRM contacts, identified 7 data issues, fixed 4 pipeline bugs, and executed a multi-step cleanup — removing duplicates, fixing naming conventions, and tagging records for enrichment retry.
Every metric comes directly from production systems we built and deployed.
A week-by-week breakdown of what was built. Click any item for details.
Built a comprehensive analysis system that processed the client's full Facebook Messenger history — extracting leads, scoring engagement, identifying conversion patterns, and cross-referencing with CRM data.
Designed and built an end-to-end lead generation pipeline — scraping permit applications from 7 Texas counties, enriching leads with skip-trace data, and pushing to the CRM automatically.
Built a data-driven AI auto-responder for Facebook Messenger with a 4-nudge follow-up sequence, plus a webhook server for AI voice agents to call new leads during business hours.
Full audit of 1,269 CRM contacts, identifying 7 data quality issues. Built and executed a safe, step-by-step cleanup script with dry-run support — zero errors across all operations.
Built client-facing analytics dashboards with dark/light themes, animated system diagrams, interactive county maps, and comprehensive documentation for every system.
Modern, maintainable tooling chosen for reliability and ease of handoff.
This engagement delivered 5 production systems in 50 hours because we prioritize building things that run themselves. Every pipeline, responder, and scraper was designed to work autonomously from day one — not as a demo or prototype, but as production infrastructure the team uses every single day.
— The Evan's List Approach
Every script, server, and dashboard deployed to the client's own GitHub repo. No vendor lock-in — they own everything.
README files, handoff guides, and resume checklists for every project. Any developer can pick up where we left off.
GitHub Actions running daily, webhook servers deployed, dashboards published. Everything is live, not just development-ready.
Found and fixed 4 production bugs in the existing pipeline. Every cleanup operation verified with dry-runs before execution.
Evan's List pairs businesses with elite AI engineers who ship production systems — not slide decks.