Note
NOTOICHII
A / 00 — INDEX
§ Introduction
I've worked in nearly
every corner of a
business. Now I
build the systems
that run them.
I'm Note (Thanita S.) — an AI & Strategy Orchestrator based in Bangkok. I design and ship AI systems for business owners and executives: chatbots that don't sleep, data that answers when asked, automations that quietly take the dull work off your plate.
Part business analyst, part AI orchestrator, part revenue partner — often all three in the same engagement. Nine years spanning every level of a business: the CEO's strategy table, the sales floor, operations, hiring. I understand how leadership sees the company and how execution actually works on the ground — and I design AI systems that connect both, turning direction into action without the friction in between.
A / 01 — PORTRAIT
A / 02
Working motto
"The model is the engine. The system is the car. I build the car."
§ Section B — What I Do
Most people who build AI systems have never run one.
I have. Nine years across every department — in industries where decisions cost millions and bad information costs more. That's what makes the difference between a system that demos and one that holds.
B / 01 → 04
B / 01
Build
AI Chatbots
LINE OA + Meta Messenger. Reply in-brand around the clock, close simple sales, escalate the edge cases with full context attached.
For customer ops, sales
B / 02
Architect
Data Structure
A unified data layer that eliminates silos and connects your tools — so information flows between systems automatically, every team works from one source of truth, and decisions don't wait on whoever finds the right spreadsheet first.
For leadership, analysts
B / 03
Wire up
Automation
LINE-native chatbots and AI agents that handle conversations, route requests, and trigger the right actions — smarter than a static workflow, quieter than a new hire. Powered by n8n, Make, and Hermes.
For ops, finance, HR
B / 04
Diagnose
AI Strategy
Two weeks of listening, mapping, and honest assessment. The output: a roadmap that shows exactly where AI earns its place in your workflow — and where a human still does it better. Designed for how your business actually runs, not how the demos look.
For founders, GMs
Tools of the trade
n8n·
Claude·
Airtable·
Supabase·
LINE OA·
Make·
Messenger API
C / 00
Five steps, in this order, every time —
§ Section C — How I Work
Five steps, in this order, every time —
this is what an orchestrator actually does.
STEP 01
Map
I sit with your team and trace the workflow. Where is time going? Where is information stuck? Where would AI help, and where would it hurt?
STEP 02
Spec
We write what "done" looks like in numbers before writing any prompt. Evaluations come before code.
STEP 03
Build
The smallest system that closes the loop. Tools before prompts. Memory only when earned.
STEP 04
Watch
Every output logged and sampled. Every failure becomes a future test. Quiet, steady improvement.
STEP 05
Hand off
Runbooks, kill switches, dashboards. A system someone else on your team can own.
D / 00
Years in business
9+
since 2017 · independent since 2024
D / 01
Seats held
15
departments · five clusters
D / 02
Systems shipped
—
add your real count
D / 03
Mochi 🐾
1
chief interruption officer
§ Section E — Background
Nine years of doing other people's jobs, on purpose.
5 clusters · 15 seats
3 industries · 4 certs
3 industries · 4 certs
E / 00 — Departments held
Five clusters · fifteen seats
E.1
Earning
Sales · Marketing · PR & Branding · BD · Customer Success
E.2
Operating
Operations · Supply Chain & Logistics · Procurement · PM
E.3
Money & People
Finance / Accounting · HR / People
E.4
Data & Tech
Data / Analytics · IT / Systems · Product
E.5
Big Picture
Strategy · General Management
E / 01
Industries lived in
Real Estate
2017—22
Interior & Construction
2019—24
Fashion / Design
2015—18
E / 02
Education & certs
Fashion Design & Business
Raffles Int. College
Chinese Business & Trade
Capital Normal Univ.
Data Analytics Professional
Google
Data Analytics
IBM Certified
§ Section F — Selected Work
Five systems, told in problem · system · result.
F / 01 → 05
Names sit behind NDAs
Names sit behind NDAs
01
F / 01
AI Chatbot, 24/7
LINE OA + Meta Messenger
Problem
Team drowning in after-hours questions. Closing the laptop never closed the inbox.
System
A conversational AI that answers in-brand, closes simple sales itself, and escalates only the tricky ones — with the full conversation history attached.
Result
Customers answered around the clock. Team got their evenings back.
02
F / 02
Data Architecture, Unified
Database · ETL · query layer
Problem
Information scattered across a dozen spreadsheets. Decisions waited on whoever found the right one first.
System
A redesigned data layer pulling everything into one place — with a plain-language query surface on top, so the team can ask without learning SQL.
Result
The whole business in one dashboard. Decisions at the speed of looking.
03
F / 03
Lead Capture & Follow-up
Inbound funnel · scoring · cadence
Problem
Leads arrived through five channels. Many were never followed up; the ones that were came too late.
System
A capture-and-classify system that catches every lead, scores it, and sends the right follow-up at the right cadence — alerting sales only when a human is needed.
Result
Nothing leaks. Sales sees only the leads worth their time.
04
F / 04
Booking & Registration
Self-serve scheduling · auto-reminders
Problem
Bookings were taken in chat, written down by hand, and forgotten by both sides.
System
A self-serve booking flow with automatic confirmations and pre-appointment reminders, synced with calendar and CRM.
Result
Less admin work, fewer no-shows, no more lost appointments.
05
F / 05
Office Automation
Document parsing · report generation
Problem
Hours every week disappeared into the same repetitive tasks — re-typing data, reading payment slips, assembling reports.
System
A quiet system that reads documents, files things, generates the weekly summary, and runs every night without supervision.
Result
Several hours of every team member's week, returned.
G / 00
§ Section G — Now
What I'm doing this season.
Building
AI systems for a handful of Thai businesses. Quietly busy.
Practicing
Going independent. Writing under my own name.
Working with
Owners and executives who already know what to fix.
Reading
— add the current book —
Walking
With Mochi. Every morning. Slowly.
Obsessed with
— add your current obsession —
Community
Part of Limitless Club — Jedi's community helping 1,000,000 Thai business owners scale with AI.
Community
Part of Limitless Club — Jedi's community working to help 1,000,000 Thai business owners scale with AI.
Last updated 2026.05.25 · this page updates whenever it stops being true
G / 01 — NOW · 2026.05
§ Section H — Spaces & Travel
Where the work happens.
Bangkok · Tokyo · Kyoto · in-transit
& wherever the coffee is good
& wherever the coffee is good
H / 01 — HomeBangkok
H / 02Tokyo
H / 03Kyoto
H / 04 — In transitsomewhere / 2025
I / 00 — MOCHI
The one constant
Companion
The one constant
in every good system.
Mochi is the small brown dog at my feet while I work. She has strong opinions about meeting length, walking pace, and which clients sound trustworthy. She is paid in walks. She has the best instincts of anyone in the office.
I / 01 — MOCHI
§ Section J — Reading & Writing
What I read. What I write.
J / 00 — Library
J / 01 — Journal
J / 01 — Journal
J / 00
Bookshelf · 8 spines
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↑ swap labels for real titles
J / 01
Writing · recent essays
J.04
2026.05
Airtable vs ERP — what to actually pick when you're an SME
9 min →
J.03
2026.04
The orchestrator is the product, not the model.
6 min →
J.02
2026.02
A chatbot that closes — versus a chatbot that just answers.
4 min →
J.01
2025.11
On building software with a dog at your feet.
5 min →
K / 00
If anything here
§ Section K — Contact
If anything here
felt familiar — let's talk.
Email
add your email —
one-page briefs welcome