You will get your apps connected and busywork automated with a working n8n build
Project details
Point me at a repetitive task and I'll build an automation that handles it. Moving data between apps, triggering follow-ups, syncing records, pulling reports, if it's manual and repeatable, it's a candidate.
I build it in n8n, test it on your real data, and hand it over documented so it doesn't become a black box only I understand. Where a step involves talking to a customer or spending money, I build in a human-approval checkpoint by default. Automation should save you time, not create new risks.
Fifteen-plus years in IT systems support means I build things that hold up, not demos that break the first time real data hits them.
I build it in n8n, test it on your real data, and hand it over documented so it doesn't become a black box only I understand. Where a step involves talking to a customer or spending money, I build in a human-approval checkpoint by default. Automation should save you time, not create new risks.
Fifteen-plus years in IT systems support means I build things that hold up, not demos that break the first time real data hits them.
AI Development Type
Software MaintenanceWhat's included
| Service Tiers |
Starter
$250
|
Standard
$600
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 18 days |
Number of Revisions | 2 | 2 | 3 |
AI Model Integration | - | - | |
Detailed Code Comments | - | ||
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Frequently asked questions
About Jeff
AI Automation for Small Business | n8n Workflows | Human-Approved
Little Rock, United States - 4:14 pm local time
Most small businesses want the speed of AI for customer messages but can't risk it going off-script — a wrong shipping date, a refund you never approved, an answer that wasn't true. I solve that with human-in-the-loop design: the AI does the heavy lifting (reading, classifying, and drafting replies grounded in your own policies and product data), and a person on your team reviews and approves before anything reaches a customer. Nothing sends, pays, or commits on its own.
What I build:
Inbox & order-inquiry triage that auto-drafts replies for shipping, returns, availability, and sizing questions
Email and workflow automation on n8n, connected to Gmail, Outlook, Front, or Missive
Policy- and catalog-grounded AI, so replies are accurate instead of invented
A human approval step built into the workflow itself — not left to memory or discipline
Testing against your real message history before go-live, plus documentation your team can actually run
Why me: 15+ years in enterprise IT — Windows, Active Directory, Microsoft 365, ServiceNow, including a Systems Support Analyst role at a major hospital. I've spent my career keeping business-critical systems reliable, documented, and safe to change. That's the difference between an AI "consultant" who hands you advice and someone who hands you a working, documented system that holds up in production — not just in a demo.
New to working together? Start small: I'll build a proof-of-concept on your own data — a short walkthrough showing one of your real message types read, classified, and drafted, human-approved — so you see exactly what a safe automation handles before any larger build. The fee credits toward that build.
If you've got a steady flow of customer messages and want AI that speeds you up without taking the keys, send me a note about your inbox and I'll tell you straight whether it's a fit.
Steps for completing your project
After purchasing the project, send requirements so Jeff can start the project.
Delivery time starts when Jeff receives requirements from you.
Jeff works on your project following the steps below.
Revisions may occur after the delivery date.
Scope the workflow
We nail down exactly what should happen, the apps involved, and where a human approval gate belongs.
Build and integrate
I build the workflow in n8n, connect your apps, and add error handling plus any approval gates.