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87% of marketers use AI in at least one workflow now.
Only 6% have fully implemented it (Supermetrics 2026).
The gap between those numbers is basically the entire job description for what I do.
Going to break down what an AI automation engineer is, what we ship, and how to tell the bad ones from the good ones.
An AI automation engineer connects AI to the workflows your business already runs.
We don't train models. We don't write papers. We don't do research.
We pick the right model for the job, wire it into the systems your team uses every day, and ship the build.
Honest read on the role: AI doesn't enter every build I ship.
I shipped three this quarter for paying agencies. Two of them had zero LLM in the workflow.
The job is knowing when to add AI and when to leave it out. Most days are wiring + testing, not training models.
Build 1: Voice IVR Lead Qualifier for a pay-per-lead network.
Twilio fronts the matching API. Ringba routes the inbound. When all referral specialists are on the line, the IVR collects postal code + issue type, hits the API for a matched company, reads the info to the caller, and...
Build 2: Calendly to Closer Report.
Zapier watches Calendly bookings across 5 closer routes. Waits 45 minutes after the call, then pings the assigned closer in Slack with a GoHighLevel survey link.
Closers stopped forgetting to log calls. Sales managers stopped chasing.
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AI Sales Agent SaaS Landing Page
A modern AI Sales Agent & Sales Intelligence SaaS website designed for startups and growing businesses looking to automate sales workflows, streamline lead management, and boost revenue through intelligent automation and real-time insights. The design combines a premium SaaS aesthetic with a conversion-focused user experience, featuring clear product messaging, interactive sections, and a scalable interface built to support modern sales teams.
Amazing design
What if every new lead could be handled before you even open your inbox? ⚡
This AI-powered workflow turns a new email inquiry into a structured, ready-to-handle lead — automatically.
A new inquiry arrives → AI extracts the important details → Airtable/CRM is updated → the response goes through optional human approval → a personalized email is sent → Notion is updated → the team gets notified in Slack → performance data is collected for reporting.
The goal isn't to remove people from the process. It's to remove the repetitive work around them.
This type of workflow can be customized for B2B companies, SaaS businesses, agencies, real estate, e-commerce, recruitment, consulting, customer support, healthcare, finance, education, and other service businesses.
Already know what you want to automate? → Send me your current workflow and I’ll map out how we can automate it.
Still doing repetitive work manually? → Tell me the task that consumes your team’s time, and I’ll help identify what can be automated.
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I'd use the human approval step to capture corrections, not just a yes/no decision. If a reviewer changes the extracted lead details, does the workflow update Airtable and the reporting record before sending the email?
Building AI automation that actually saves time. ⚡
Lately I've been working with AI agents, n8n, Python, APIs and RAG to turn repetitive business tasks into automated workflows.
From lead qualification and document processing to AI assistants and notifications — the goal is simple:
Less manual work. More intelligent workflows. 🤖
Currently building and experimenting with new automation projects. 🚀
#AIAutomation #AIAgents #n8n #RAG #Python
Turning lead qualification into an AI driven flow really cuts the back and forth of data entry. Automating document parsing with RAG makes the handoff to downstream steps feel instant.