SME Workflow Automation — Custom AI Automation & Integration
I build 24/7 "digital employees" that handle data collection, reporting, customer care, and repetitive tasks — so SME owners can focus on strategy instead of manual operations.
Executive Summary
- Problem: Businesses waste staff time on repetitive tasks (data entry, basic CS, reporting), leading to high operational costs and low efficiency.
- Action: Deploy custom "tailor-made" AI & Automation systems (AI Chatbots, n8n Workflows, Custom RAG) designed specifically for your unique operations.
- Impact: Repetitive work moves to the machine and people handle only the exceptions; the system runs 24/7, so after-hours enquiries still get a reply. I agree the metrics up front (hours/month, first-hour response rate) so that after the first month you know whether it paid for itself.
Continuous Customer Growth with AI
Spa / Clinic / Dental
Nobody waits on a slow reply. AI stands by 24/7 on Fanpage/Zalo, automatically advising services, quoting prices, and booking appointments. An 11pm message still gets answered and booked instead of sitting until morning.
Online Shop / Retail
Create an automated sales funnel that never sleeps. AI classifies messages, requests info, and closes sales. Automatically remarkets to customers who "seen without replying".
B2B Services
Automated Lead Nurturing. When new Ads data arrives, AI sends Zalo/Email instantly. Follows up on Day 3, Day 7 — fewer leads drop out of the funnel just because Sales forgot to call back.
Old Data Exploitation
New revenue from old customers with $0 Ads cost. AI analyzes thousands of old records and sends personalized ZNS messages (offers, birthdays).
Real Estate / Auto
Auto Lead Qualification. For high-value sales, AI asks for budget and needs before pushing "hot" leads to Sales. Sales only calls people who already stated a budget and a need, instead of working the whole list.
Education / English Centers
Automate admission funnels. AI conducts light placement tests via Zalo, scores instantly, and suggests courses. Automatic reminders before the trial class cut the number of sign-ups who never show up.
Implementation Models
Everything starts with a Workflow Analysis to identify the exact bottlenecks.
Audit & Blueprint
Review workflows, find bottlenecks, and design a proper AI architecture.
Core Automation
Build 1-3 primary automation workflows (n8n, Make, Custom code).
Advanced AI Agent
AI Chatbot integrated with RAG, internal data, and 3rd party APIs.
Enterprise Solutions
Comprehensive automation systems for large-scale operations.
Implementation Process
Clear and practical. I only build after identifying bottlenecks that AI can actually solve.
Discovery (1-3 days)
Identify 2-3 of your most time-consuming repetitive tasks.
Solution Design (3-7 days)
Map out the data flowchart and propose the best tech stack. Confirm before moving forward.
Deployment (1-3 weeks)
Complete system build and train your staff on how to use it.
Evaluation (After 30 days)
Re-measure the exact metrics agreed in step 1 — what ran as intended, and what needs the flow reworked.
Who designs and owns the AI side of this?
I do not sell "AI" as a product — I measure it by how much of the actual operation changes. 14 years in delivery for Japanese enterprise clients, personally deciding the architecture and staying on until the system is in production.
- CCA-F — Claude Certified Architect – Foundations, Anthropic proctored exam (Sep 2026), badge verifiable on Credly.
- PMP® (PMI, ID 3392087) · JLPT N1 — project control and direct work with Japanese clients.
- Built end-to-end RAG systems for 5 major Japanese insurance groups.
- Delivered an AI chatbot with an OCR + auto-screening pipeline for the public sector, human-in-the-loop by design.
Frequently Asked Questions
Do you take part in the implementation itself?
Yes. I analyse, design and deliver the work myself — from settling the architecture and building the workflows to integrating them into the systems you already run. I prioritize well-scoped problems, regardless of size.
What is the difference between AI Automation and standard software?
Standard software requires human data entry. AI Automation (n8n, Zapier + Claude/GPT) acts as a digital employee: it extracts data from images, makes decisions based on logic, and sends reports automatically.
How do I know AI won't hallucinate or propose wrong solutions?
RAG is not a guarantee against hallucinations. I combine controlled sources, citations, guardrails, and human handoff when evidence is insufficient or out of scope; the remaining risk must be tested on real cases before launch.
My company isn't tech-savvy, can we use AI?
Absolutely. The AI system runs in the background. Your staff doesn't need to learn code or new apps; they just receive the final results via Zalo or Google Sheets they use every day.
What size SMEs should consider Automation?
Headcount alone is not enough to decide. Start when repetitive work has measurable frequency, handling time, and error cost; ROI depends on that baseline, data quality, and adoption after launch.