AI Readiness Assessment Bangkok | Know Where AI Pays in Your Business | UNGLIN

AI Readiness Assessment · BKK

You know you need AI.
You don't know where it actually pays.

In 10 days we map your operations, your data, and your biggest costs — and tell you exactly which AI deployment gives you the fastest return. Built entirely from your own numbers. Not a demo. Not a generic report.

A clear answer on where AI pays — before you commit a single baht to deployment.

Book Discovery Call → See What You Receive →

NDA before we start  ·  Data stays in-house  ·  No commitment to deploy

10 Days to your
full blueprint
Fixed Fee — no hourly
billing, no extras
6 Documents,
yours to keep
~6 hrs Your team's
total time
Why Bangkok Businesses Need This First

Most businesses are ready for AI.
Almost none know where to start.

01 — Direction

AI vendors show you a demo of what AI can do in general — then send a proposal for their product, without checking whether it fits your data or your highest-cost problem.

You pay to find out the fit after you sign. Businesses that deploy without a structured assessment are three times more likely to report no measurable ROI in year one. The Assessment flips the sequence: diagnosis before deployment, evidence before money. (McKinsey: State of AI 2024)

02 — Data Reality

Most businesses assume their data isn't ready for AI. Most of the time they're wrong — they just don't have a clear picture of what they have and what it can do.

The Data Infrastructure Audit maps every data source in your operation — ERP, spreadsheets, documents, transaction records. You leave knowing exactly what is usable today, what needs 30 days of preparation, and what an AI deployment connects to on day one. No guesswork.

ETDA · 2025

80% of Thai businesses are still trying to figure out where AI fits in their operation. The main reason: no clear picture of the return in their specific business. That is exactly what the Assessment delivers — for your operation, using your numbers.

Three reasons Bangkok businesses start here
PDPA & Compliance

Your team uses ChatGPT, Gemini, or Copilot with real business data — and your legal contact has flagged it as a risk

The Assessment maps your exact PDPA exposure and delivers a written compliance report with a private alternative your lawyer can sign off on before anything changes.

Operations & Growth

You want AI to cut costs and speed up operations — but you don't know which process gives you the best return first

The Assessment maps your business and delivers a ranked action plan specific to your operations, your data, and your actual cost structure — not generic benchmarks.

Private AI Infrastructure

You want an AI system that runs inside your own infrastructure — not on foreign servers — and connects to your actual business data

The Assessment defines the right private AI architecture for your setup: what it connects to, how it runs inside your own systems, and what it will cost to build and operate.

Who Leads Your Assessment
Den — Managing Director, UNGLIN Co. Ltd., Bangkok
Den Unglin Managing Director

Every assessment.
Led by Den. Personally.

Across 18+ years in business operations, Den has seen the same pattern repeatedly: when companies waste money on AI, the problem is rarely the technology itself. The problem is usually the sequence. Diagnosis first. Deployment second.

There is no junior team between you and the work. You work directly with Den throughout the assessment, with specialist support behind the analysis and delivery where required. This gives each client senior judgement, clear accountability, and a structured process from start to finish. NDA signed before any work begins.

LinkedIn → WhatsApp Den →
18+ Years direct
P&L responsibility
50+ Business types
built and operated
200 Projects
managed
12 Country
markets

UNGLIN Co. Ltd. Nr. 0505566006201 is a Bangkok-based firm specialising in AI readiness assessment, deployment planning, and private AI strategy for Thai businesses.

Typical Assessment Findings

Five patterns where AI already pays.

Measured in cost, speed, and control

These are workflows where AI deployments have already reduced manual processing by 90%+, improved forecast accuracy by up to 30%, pushed document access from 20% to 80%, cut search time from 30 minutes to seconds, and shortened monthly close from 12 days to 5.

Trading group · Multi-entity finance · Supplier invoice flow
The assessment found that

Finance staff were spending time on documents the business should never need humans to touch.

Invoices were arriving in different formats, approvals were moving by email, and exceptions were mixed in with routine cases. Month-end pressure was not coming from judgement. It was coming from repeated manual handling. In documented deployments, this kind of workflow has cut manual invoice processing by 90% and automated up to 95% of handling volume.

The assessment identified a document-processing workflow suitable for AI: classify incoming files, extract key fields, validate them against rules or purchase orders, and send only exceptions to finance for review.

90% less manual processing Up to 95% touchless handling Faster approval flow Less month-end drag
Procurement-heavy operation · Supplier offers · Tender comparison
The assessment found that

Commercial decisions were being slowed down by document review, not by negotiation.

Supplier quotations, tender files, revised terms, and attachments were being checked manually across teams. The cost was not just time. It was missed differences, inconsistent review quality, and delayed purchasing decisions. In documented deployments and industry benchmarks, AI in procurement can cut manual work by up to 30% and reduce costs by roughly 15% to 45% when applied to the right processes.

The assessment identified a procurement review workflow where AI could compare supplier documents, highlight missing items, surface term changes, and prepare a cleaner basis for decision-making.

Up to 30% less manual work 15–45% cost reduction potential Faster tender review Better purchasing control
Retail or distribution · Inventory planning · Demand volatility
The assessment found that

Stock decisions were being made with too little signal and too much manual judgement.

The business had data across sales, seasonality, pricing, and product movement, but planning still depended heavily on spreadsheets and human interpretation. The result was excess stock in some lines and shortages in others. In documented deployments, AI forecasting has improved accuracy by up to 30%, with downstream gains in inventory cost, availability, and waste reduction.

The assessment identified a forecasting and replenishment use case where AI could improve demand planning, support inventory allocation, and reduce decision noise around fast-moving and unstable categories.

Up to 30% better forecast accuracy Lower inventory cost Fewer stock-outs and overstocks Smarter working-capital allocation
Group operation · SOPs, policies, files · Knowledge trapped across the business
The assessment found that

Staff were repeatedly asking for information the business already had.

Important answers existed in SOPs, manuals, contracts, templates, old reports, and internal documents — but nobody could access them quickly enough. Teams were losing time searching, interrupting senior staff, and re-solving known problems. In documented deployments, AI knowledge tools have pushed document access from 20% to 80% and cut search time from around 30 minutes to seconds.

The assessment identified an internal knowledge workflow where AI could sit over company documents and return grounded answers fast, with access controls and source visibility built in.

20% → 80% document access 30 minutes → seconds Less key-person dependency More output from the same team
Multi-division business · Fragmented systems · Delayed management reporting
The assessment found that

The numbers existed, but the business could not see the problem early enough to act.

Leadership was waiting on reports from disconnected systems, and anomalies were being buried inside spreadsheets and handoffs. By the time management saw the issue clearly, the damage had already run through the month. In documented deployments, AI-enabled finance operations have reduced monthly close from 10–12 days to 5 and cut routine data retrieval time by 30% to 50%.

The assessment identified a reporting and anomaly-detection use case where AI could connect operational views faster, explain unusual movements, and surface hidden leakage earlier.

10–12 days → 5-day close 30–50% faster data retrieval Earlier leak detection Faster management decisions
1 / 5

The Assessment starts with economics, not tools. It identifies where AI can remove labour, compress cycle time, reduce avoidable errors, and create measurable payback inside your operation.

AI Readiness Check

Find out where you stand.
2 minutes. No email needed.

Five questions about your business. You get an instant readiness score plus the two specific gaps most likely to determine whether your first AI deployment pays or fails.

Question 1 of 5
How does your team handle the most time-consuming repetitive task in your operation?

Select one to continue

1 / 5
Question 2 of 5
Where does your business data actually live today?

Select one to continue

2 / 5
Question 3 of 5
How does your leadership team make major operational decisions?

Select one to continue

3 / 5
Question 4 of 5
Does your team use ChatGPT, Gemini, Copilot, or similar AI tools for work tasks?

Select one to continue

4 / 5
Question 5 of 5
What is your biggest hesitation about deploying AI right now?

Select one to continue

5 / 5
0 / 10
Readiness
Score
Book Discovery Call →
What You Receive

Six documents. Yours to keep.

Delivered Day 10 · In person · Bangkok
01

Data Infrastructure Audit

What data you have, where it lives, and whether it's AI-ready — confirmed before any budget is committed.

We start here. We map every data source in your operation — ERP, spreadsheets, transaction records, documents. You receive a clear picture of what is usable today, what needs 30–60 days of preparation, and what an AI deployment can connect to on day one. Everything that follows is built on this.

02

AI Opportunity Map

Every process in your business ranked by AI return — built from the data audit findings, not assumptions.

Each area of your operation scored by cost reduction potential, speed gain, and risk reduction. Weighted by your confirmed data readiness and deployment complexity. Prioritised so your first decision is the right one — with evidence behind each ranking.

03

ROI Projection Model

Financial return for your top 3 AI use cases — built from your actual numbers, not industry benchmarks.

Derived from your Data Audit and Opportunity Map — so every projection reflects your real cost structure and process volumes, not averages. Conservative payback periods and measurable KPIs. The document your MD needs before approving a single baht of deployment spend.

04

Private AI Architecture Plan

The exact AI system that fits your infrastructure — designed around your highest-return opportunity.

Recommended model and deployment approach for your specific setup. Integration points with your ERP, CRM, or custom systems. On-premise vs. hybrid analysis for your situation. No proprietary lock-in — the plan works with any provider you choose.

05

Thai PDPA Compliance Report

Every AI tool your team uses today, assessed for legal exposure — written and ready for your lawyer.

Which tools currently send your business data to foreign servers. What your legal risk is today. What the private architecture removes from your risk register. Written in plain language your legal contact can review and act on immediately.

06

90-Day Deployment Roadmap

A week-by-week action plan ready to execute — including staff readiness and change management.

Phased plan for your highest-priority use case. Team requirements, budget breakdown, integration sequence. Includes which staff roles change and how — the #1 reason AI deployments fail in smaller businesses is not technology but adoption. No obligation to deploy with UNGLIN. Ask on the discovery call — we'll show you a redacted extract.

Who This Is For

Bangkok businesses.
Ready to act.

Trading & Distribution

Your margins are thin and your biggest costs are predictable. AI identifies the specific process in your operation where automation pays back fastest — with a payback model built from your actual numbers.

Manufacturing & Production

Your production costs and waste levels are measurable. AI finds the specific line or process where reduction gives you the largest return on your first deployment.

Logistics & Supply Chain

Route optimisation, demand forecasting, warehouse efficiency — the Assessment identifies which node in your operation gives you the fastest measurable return and what it will cost to build.

Retail & Consumer Goods

Inventory, pricing, customer behaviour — AI impact on retail operations is fast and measurable. The Assessment tells you which specific change pays back first in your business.

Professional Services

Your billable time is your main asset. The Assessment identifies which back-office processes to automate first so your team spends more time on revenue-generating work — with a PDPA-compliant architecture.

Family Business & Holding Groups

Multiple operations, no shared AI strategy — the Assessment identifies the one deployment that creates measurable value across your group, with a clear picture of where to start and what it returns.

Right fit — book the discovery call
→฿35M+ annual revenue. The ROI model needs real cost data to generate a return that justifies the assessment fee.
→10 or more people. You have processes. AI reduces the cost of repeatable work — no team means nothing to automate.
→You make the decision. MD, owner, or director level. No 3-month procurement committee process required.
→You want clarity, not a demo. You are ready to look honestly at your operations and act on what you find.
→Your data is imperfect. Messy data is the norm, not the exception. The audit exists to diagnose exactly this.
Not the right fit — save your ฿200,000
✕Under ฿35M revenue. The assessment ROI model will not generate enough return to justify the investment at this stage.
✕Fewer than 10 people. No operational system to analyse. Fix sales volume first — then come back.
✕Requires vendor certification or ISO audit. We will refer you to a firm that can meet those procurement requirements.
✕Looking for AI awareness training for the team. That is a different product — contact us and we will point you in the right direction.
✕Expects a demo and a proposal. We diagnose before we recommend. If you want a product pitched, this is not the right engagement.
How It Works

10 business days.
Four steps.

~6 hrs Total time required
from your team
Day 1 – 2

We Meet in Bangkok

One in-person session — 3 to 4 hours. You or your most senior operations person joins. No technical background needed — we ask business questions, not IT questions. NDA signed before we start. Your data does not leave the room.

Day 3 – 6

We Analyse Your Business

Our team works independently. We analyse your systems, data quality, process architecture, and cost structure. No input needed from your team during this phase.

Day 7 – 9

We Design Your Blueprint

We design the AI architecture for your infrastructure and prepare all six documents. Integration points mapped. One short follow-up call may be needed to confirm specific operational details.

Day 10

Full Delivery — In Person

We present all 6 documents to your leadership team in Bangkok. You ask questions. You get direct answers. You leave with everything you need to make an informed decision — with us or with anyone else.

Pilot First. Decide With Evidence.
฿200,000
≈ $6,000 USD · No extras
Fixed fee · No hourly billing ·
  • In-person intake session in Bangkok (Day 1–2)
  • Data Infrastructure Audit — all sources mapped
  • AI Opportunity Map — your operation ranked by return
  • ROI Projection Model — your actual cost structure
  • Private AI Architecture Plan — built for your systems
  • Thai PDPA Compliance Report — written, legal-ready
  • 90-Day Deployment Roadmap — ready to execute
  • Final in-person presentation — your team, Day 10
  • NDA signed before any work begins
Book Discovery Call →

↳ Delivered Day 10 · In person · Bangkok

The evidence-first sequence

Private AI deployment in Bangkok costs ฿1,000,000–฿30,000,000. Businesses that commit to deployment without a structured assessment are 3× more likely to report no measurable ROI in year one. (McKinsey: State of AI 2024.)

The Assessment gives you the evidence before you commit. You see the ROI model, the architecture, and the compliance picture built from your own numbers. Then you decide — with facts, not a sales pitch.

Client deployments that began with the assessment have returned an average of 3.5× on total investment within the first quarter.

Without vs. with the assessment
What you need to know
Without
With
Which AI use case to start with
Guess
✓
ROI based on your actual numbers
Unknown
✓
PDPA exposure — in writing
Unknown
✓
Data readiness confirmed before spend
Find out after
✓
Clear action plan ready to execute
Build yourself
✓

Your competitors in Bangkok are already testing AI. Who deploys it right — and first — wins.

Book Discovery Call → No commitment · Bangkok team · In-person available
Questions Before You Book

Honest answers. No sales pitch.

Yes. We show a redacted extract from one of the six documents on the discovery call — ask for it directly and we will have it ready. We do not send samples by email before the call, because the documents are built for specific businesses and a generic extract is only meaningful in context. The 30-minute call is the right place to see it and ask questions about it.
Almost every business we speak with says this — and almost every time, it is not the blocker they expect. The Data Infrastructure Audit is specifically designed to answer this question for your business. It tells you what data you have that is usable today, what needs 30–60 days of preparation, and what an AI deployment can connect to on day one. You do not need clean data before the assessment. That is exactly what the assessment diagnoses.
A demo shows what AI can do in general. The Assessment shows what AI can do in your specific business — using your data, your processes, and your numbers. A demo cannot tell you which process to start with, what your actual ROI will be, or whether your data is ready. The Assessment answers all three — and the deliverables are yours to keep and act on regardless of what you decide next.
ChatGPT and Copilot process your company data on foreign servers — outside Thai jurisdiction and outside PDPA compliance. For many Bangkok businesses this is already a legal risk their lawyer has flagged. The Assessment also evaluates where cloud tools are appropriate for lower-risk parts of your business — you receive an honest recommendation, not a sale for one product type. Some of your operations may be fine on public AI. The Assessment tells you which ones and which aren't.
No obligation at all. The six documents are yours regardless of what you decide. You can deploy with UNGLIN, deploy with another provider, or hand the roadmap to your own team.
We sign a full NDA before any work begins. The intake session is in person in Bangkok. All analysis is done on our own secured equipment — no company data is uploaded to any external system. Thai PDPA compliance is maintained throughout the engagement. Your legal contact can review our NDA before you agree to anything.
The in-person intake on Day 1–2 takes 3 to 4 hours — you or your most senior operations person attends. No technical background needed. Our team works independently for Days 3–9 with no input needed from you. On Day 10 we present all findings to your team, typically 2 hours. Total time: approximately 6 hours over 10 business days.
Bangkok-based businesses with annual revenue of ฿35M or more and at least 10 people. Best fit for trading, manufacturing, logistics, retail, professional services, and family business groups. If your business is smaller, contact us on the discovery call — we will tell you honestly whether the assessment makes sense for your situation right now.
Book Your Call

Start with a free
30-minute call.

No commitment. We map what the Assessment delivers for your specific business — your sector, your operations, your data situation. If the assessment is not the right fit for your business right now, we will tell you that on the call. No charge, no follow-up pressure.

Bangkok team. In-person meetings available anywhere in Bangkok. Same timezone. Direct access to the people doing the work.

Email info@unglin.com
Location True Digital Park, Bangkok, Thailand · In-person available
LinkedIn linkedin.com/in/denunglin
Ready to find out where AI pays in your business?

We tell you honestly whether the assessment makes sense for your situation right now.

Book Discovery Call →

During Bangkok business hours.