Bennett O.

I build AI automation that removes repetitive work for agencies and growing businesses. n8n workflows and AI agents capture every lead, qualify and route it in minutes, and keep your CRM reliable and easy to maintain. Realistically, what you need isnt another demo. You need systems that survive Monday morning: - Every lead gets captured the moment it arrives, and no duplicate contact ever pollutes the CRM. - Lead qualification happens in minutes, while intent is still hot. - Sales follow-up goes out automatically, so nothing slips through the cracks. - The pipeline stays clean enough to trust, with stale deals flagged before standup. - Routine questions get answered from your own records, day or night. I'm an AI Automation Engineer specializing in workflow automation, CRMs, n8n and Claude-driven AI agents for growing businesses. You bought the tools. The work still chases you. Sound familiar? Here are three systems I built and can rebuild on your stack. All were built and tested. One runs live for a clinic today. #1 Inbound qualification and Follow-up in under two minutes A form fill arrives through a public webhook and gets scored while intent is peaking. The address is checked and the name is split once, upstream, so downstream never touches dirty input. The contact is created or updated in HubSpot on the email address, which means refires update instead of duplicating. An AI scorer reads the cleaned fields and returns a route of hot, warm, or junk with a fit score and a reason, and lead routing follows the score. That scorer performs lead qualification the same way every time. Hot buyers get a personal Gmail reply with one ask for fifteen minutes. Warm leads go to nurture. Junk gets quarantined before a rep ever sees it. The team gets pinged in Slack with the score and the reason. Every decision lands in a routing log with the right status code. The whole thing is n8n automation built as real workflow development, the kind of AI workflow automation that replaces manual triage with business process automation. Multi-step branching carries each lead across API integrations and webhooks, and nightly data synchronization keeps automated pipelines and CRM workflows honest. That is lead generation with the waste removed: workflow automation your team can audit, with each connection running through a single API integration pattern with retries. #2 Voice receptionist that books real appointments A clinic front desk that never misses a call. Voice callers reach AI voice agents that answer FAQs from the clinic's own records, qualify callers, and book straight into Google Calendar. The voice layer runs on Vapi, so calls connect in seconds. Web users get the same brain through a chatbot on the site, with context intact when callers switch channels. A Twilio text confirms every booking. Replies land in under a second across turns. This is AI agent development shaped into AI sales and customer support agents, with lead qualification agents deciding what deserves a human. AI assistants like this earn trust by grounding every answer with RAG instead of guessing. #3 Pipeline briefing before standup Every morning the CRM gets read and the at-risk deals get flagged. Owners see one short Slack brief with what needs attention, why, and what to do next. Stale owners get named. Missing amounts get listed. Silent records get surfaced. Nothing auto-updates the CRM and nothing sends outbound. The run proposes and humans dispose. It is CRM automation built for Revenue Operations, the unglamorous half of RevOps that keeps lead management honest. Qualification history and lead routing rules live in the record. Sales follow-up automation nudges the owner. Pipeline automation does the reading so the meeting does the deciding. The same readout pattern extends to appointment booking workflows, and CRM data synchronization keeps every field traceable. Marketing and sales automation handoffs stay clean because the data underneath is clean. My toolbox is small on purpose. The list is short: n8n | Python | FastAPI | REST APIs | Webhooks | OpenAI | Claude | LangGraph | RAG | Vector Databases | AI Agents | Hubspot I integrate these AI systems with your CRM, communication tools, databases, APIs, and other business applications to create reliable end-to-end workflows. # How I work I start with the business problem, not the tool. I map the existing workflow, identify the highest-value automation opportunities, and design the system around the required outcome. That process includes: 1. workflow architecture 2. AI logic, integrations 3. error handling 4. testing 5. deployment 6. and maintainability. If you need an AI automation engineer to build a revenue workflow from scratch, automate your CRM and sales process, integrate AI into your existing stack, or provide technical implementation capacity for your agency, I can help build the system. I can help you get your week back!