
AI Automation Specialist
I turn repetitive tasks into autonomous systems — so you can focus on what matters.
12+
Automations Built
50+
Hours Saved Weekly
7+
Clients Served
Automations I built that save time, cut costs, and scale operations.

A deterministic n8n workflow that watches a driver-recruiting agency's Google Sheets hiring trackers and flags any file that's gone quiet, so account managers never have to manually scan a sheet to find what needs attention. No AI anywhere in the loop — a spreadsheet script stamps the moment a file is actually worked, and a twice-daily scheduled check does the rest. Built and validated end-to-end with a live test.

Seven connected n8n workflows that run an ops coordinator role for a global climate advisory firm — requests flow in through a form, deal stage changes auto-spawn task playbooks in Notion, a nightly scan flags overdue and stale tasks with direct comments, a meeting-booked trigger fires a 12-step research agent that delivers a formatted brief before every sales call, and a daily lost-deal agent scans the CRM, judges re-engagement with AI, and emails the owner Approve/Skip. Built and presented live to the Co-Founder & COO in under five hours.

Seven connected n8n workflows that run an air-conditioning business from booking to invoice — lead intake with city-based technician routing, local AI lead screening, one-click owner approval, an on-site estimate app that prices jobs live, auto-generated quotes filed to the client's folder, and automatic maintenance follow-ups. Humans approve the two decisions that matter; automation handles the rest.

A deterministic n8n workflow that watches a driver-recruiting agency's Google Sheets hiring trackers and flags any file that's gone quiet, so account managers never have to manually scan a sheet to find what needs attention. No AI anywhere in the loop — a spreadsheet script stamps the moment a file is actually worked, and a twice-daily scheduled check does the rest. Built and validated end-to-end with a live test.
Problem
A 3rd-party CDL driver recruiting agency runs on a pay-per-hire model — no placement, no fee. Once a driver's file left the recruiter and moved into a carrier's processing stage, an account manager had to keep chasing paperwork and driver responses across several carrier-specific spreadsheets, with no way to tell how often a file simply went quiet until someone happened to notice.
Solution
A two-layer, fully deterministic watcher: a lightweight script inside each spreadsheet stamps the exact moment a file's stage or notes actually change, and a scheduled check twice a day asks one question per file — has this moved since the last check? If not, the account manager is flagged and emailed; if it's still quiet after three working days, a second reviewer is looped in too. Automation only ever detects and flags — every real conversation with a driver stays human-to-human.
How It Works
A container-bound Apps Script onEdit trigger stamps a hidden Last Touched column whenever Stage or Notes changes on a row. An n8n workflow runs twice daily, business-hours only, compares each row's Last Touched value against the prior check's snapshot, and increments a quiet-counter only when nothing changed — nights and weekends never count against a file. Crossing 8 hours flags the account manager; crossing 24 loops in a second reviewer. Every alert email links directly to the exact row that needs attention, and the workflow monitors its own health with a self-reporting heartbeat.
Time Saved
~15 minutes per account manager, every morning
Monthly
≈5–8 hours per month across the team
Cost Savings
Projected: $1,500–$3,000/mo recovered if the alerts save just one placement per month that would otherwise go cold (fees run $1,500–$3,000 per placement). Validated end-to-end; not yet measured on live client data.
Conservative estimates based on the manual hours each workflow replaces, at $10–25/hr admin rates. Actual savings depend on your volume — figures marked "projected" come from builds validated end-to-end but not yet measured on live client data.
I deliver AI-first automation solutions that eliminate manual work and scale your operations.
Design and development of custom automation workflows and AI agents — from business process automation and AI-powered assistants to workflow orchestration, API integrations, and automated content workflows.
Streamline operations with Zapier, Make.com, and Go High Level — from lead capture to CRM sync to follow-ups.
Connect disparate tools and build smart data flows that clean, transform, and route information automatically.
Deploy AI-powered chatbots and voice assistants that handle inquiries, qualify leads, and book appointments 24/7.
Audit existing processes, identify bottlenecks, and redesign workflows for maximum efficiency and cost savings.
Landing pages, portfolio sites, and web builds using AI-powered tools. From design to deployment — fast, clean, and production-ready.
Clear SOPs and training materials so your team can run automations confidently — no developer dependency required.
Automated content pipelines for LinkedIn, Facebook, and beyond — scheduled posts, AI-generated copy, and engagement workflows on autopilot.
I help businesses save time and cut costs by automating operations, training, and support with AI and no-code workflows.
After 3 years building training systems and SOPs at Drivers1st, I now apply that same systems-thinking to create reliable automations — from CRM integrations and lead routing to onboarding and internal workflows.
Tools I work with: n8n, Zapier, Make, OpenAI, CRMs, APIs, and chat automation.
Looking for practical automation that actually works? Let's connect.
Here's what you can expect when we collaborate.
From workflow design to deployment — I handle the full pipeline so you don't have to touch a single manual step.
Every automation I build is designed to save time, cut costs, and deliver results you can track from day one.
Most projects are scoped, built, and delivered within 1–2 weeks. Complex systems ship in under a month.
I don't disappear after launch. You get documentation and support to keep everything running smoothly.
Automation
AI & Models
CRM & Ops
Google Workspace
Dev & Infra
Comms & Voice
Straight answers to the questions I get most.
Business process automations: lead intake and CRM pipelines, AI voice and chat assistants, follow-up sequences, document and quote generation, content scheduling, and internal ops workflows like task routing and stale-deal watchers. If your team does it by hand on a schedule, it can usually be automated.
Mainly n8n, Zapier, Make.com, and GoHighLevel for workflows; HubSpot, Notion, Airtable, and Google Workspace on the data side; and AI models like Claude and GPT where language understanding is needed. I work with whatever stack you already have rather than forcing new tools on you.
Not always — and I'll tell you when you don't. Many of my most reliable builds are deterministic: plain rules, schedules, and triggers with no AI in the loop. AI earns its place when the work involves judgment, language, or unstructured input. Using AI where a simple rule would do just adds cost and unpredictability.
Zapier is the easiest to start with and has the most app integrations, but costs grow quickly with volume. Make.com is more visual and cheaper at scale. n8n is open source and self-hostable, which means the most control and the lowest running cost for complex or high-volume workflows — but it needs someone technical to set up. I pick based on your volume, budget, and who maintains it after me.
Both. Plenty of my work is a single, scoped build — one workflow, delivered, documented, done, with no ongoing commitment. Other clients start with one automation and grow into a retainer as more of the business gets automated. We figure out which fits your situation on the discovery call.
It depends on scope, which is why I start with a discovery call: we map the process, I tell you honestly whether automation is worth it, and you get a clear quote before any work starts. Simple single-workflow builds cost much less than multi-system pipelines with AI agents.
Small workflows are usually live within days. Multi-workflow systems — like a full CRM pipeline with AI triage and follow-ups — typically take a few weeks including testing with your real data. You see working pieces early, not a big reveal at the end.
You get documentation of how everything works and a walkthrough of the build. Automations include error alerts where it matters, so failures surface instead of silently piling up. I'm available for maintenance and changes as your processes evolve.
Book a discovery call or reach out directly.

