Private AI for Thai Business — UNGLIN Bangkok
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UNGLIN · Bangkok · PDPA-Aligned Sovereign AI

Sovereign AI Thailand // PDPA Compliant

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

In 10 business days, we analyse your operations, data, and biggest cost centres — then show you which AI deployment will create the highest return for your business.

NDA before we start  ·  Bangkok-team

10 Business days
for the sprint
Fixed Fee — no hourly
billing
1 Clear decision
produced
~6 hrs Your team's
total time
Two steps to change the game

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

No endless consulting upsells. No piles of strategy papers. We find what works in your business, then build it.

1 Start Here
AI Decision
Sprint

In 10 business days, Den looks at your operations, finds your biggest cost problem, and tells you exactly which AI will fix it first — and what it will take to deploy.

You get a realistic answer on where AI pays — before you commit a single baht to deployment.
10 Business Days Fixed Fee In-Person Available
2 Then move forward
Pilot
AI Deployment

A priority AI workflow, built directly into your operations, with clear KPI tracking and a measurable business result. Not a generic platform demo. A working deployment that proves value before you commit to anything larger.

You end with a live workflow, a measured result, and an honest view of what comes next.
4–12 Weeks Typical Private Architecture PDPA-Aligned Sovereign AI

After the pilot: scale within one system, add adjacent workflows, or stop. There is no pressure to commit beyond what the evidence supports.

Does This Describe You?

Four patterns that
drive most clients to us.

If one of these is true, the Decision Sprint is designed for exactly your situation.

You have a manual, high-volume workflow that costs too much time and headcount to run

Document handling, approvals, data entry, or reporting that your team runs by hand every cycle — and you know it should not require humans at this volume.

🔍

You cannot see what is happening across your operations quickly enough to act

Reporting arrives too late. Problems surface after the damage is done. Information is fragmented across systems, teams, or subsidiaries with no single accurate view.

⚠️

Your team is already using foreign-hosted AI tools without clear PDPA controls.

Your company's data is being handled every day through public AI tools without a defined approval framework, creating compliance risk and weakening the confidentiality of your operations.

You believe AI is worth doing but cannot pin down where to start or what it should cost

The demos are generic. The proposals are vague. The ROI numbers are invented. You need someone to map your specific operation and tell you honestly what is and is not worth doing.

Step 1 — Decision Sprint

The fastest
serious first step.

Most AI projects fail because they start too big, too broad, or without checking the data reality first. The Decision Sprint does the opposite: narrow scope, fast timeline, one clear recommendation.

Den maps one problem area in your business — not your entire operation. He checks whether your data actually supports an AI deployment in that area, models the rough economics, and delivers a concrete recommendation: proceed to pilot, or not yet and why.

Knowing where not to spend ฿1M–฿30M on deployment is as commercially useful as knowing where to start.

฿300,000 +
Fixed fee · No hourly billing

A comparable scoping engagement at a major consulting firm in Thailand typically takes 6–12 months and costs significantly more. The Sprint produces one decision in 10 business days at a fraction of that cost — because it is narrower, faster, and founder-led from day one.

Book a 30-minute call →

Board Decision Memo

One document answering: should we move on this workflow now? Which specific use case? What is the rough economics case? What are the key operational and data blockers? What is the recommended next step? This is the primary output — everything else supports it.

Supporting Working Papers

  • Data Reality Check — what data you have, whether it is AI-ready, what needs preparation
  • Economics Model — rough cost/benefit for the recommended workflow, built from your actual numbers
  • PDPA Risk Note — where uncontrolled use of public AI tools creates exposure, mapped for management and counsel review
  • Pilot Recommendation — specific scope, KPI, and sequencing if the recommendation is to proceed

How it runs

  • Day 1–2: In-person intake in Bangkok. 3–6 hours. NDA signed before we start.
  • Day 3–9: Den's team works independently. No input needed from your team.
  • Day 10: Full delivery in person. You receive the Board Decision Memo and all supporting papers.
Step 2 — Pilot Deployment

One workflow. One real result.

The Pilot builds the workflow inside your operation. One deployment. One KPI.

Scope

One workflow only. Scoped precisely after the Sprint.

The Pilot deploys exactly the use case identified in the Sprint — nothing broader. Scope is defined before pricing. You know what you are getting before you commit.

Typically 4–8 weeks depending on systems complexity and data readiness confirmed in the Sprint.

Deployment

Private-first architecture. Deployed inside your systems.

Wherever possible, UNGLIN deploys AI inside your own infrastructure or via Thailand-controlled options. Data handling and deployment design are documented for management review before implementation begins.

No proprietary lock-in. The deployment works with your existing ERP, CRM, or custom systems. Nothing is replaced in the first phase.

Result

One measurable KPI tracked from day one.

The Pilot is scoped around one specific business metric — processing time, error rate, close cycle, document turnaround, or cost per unit — agreed before deployment starts. You see the number before and after.

Pilot pricing is scoped after the Sprint and based on your specific workflow, systems, and data complexity.

Deployment Partners

We deploy private enterprise AI using approved infrastructure and automation platforms selected for compliance, control, and integration with your existing systems.

Microsoft Solutions Partner
Infrastructure

Azure sovereign cloud and on-premise infrastructure for enterprise AI workloads, private networking, and PDPA-compliant data residency in Thailand.

AWS Select Partner
Cloud & Infra

AWS sovereign cloud infrastructure for AI deployments requiring regional data residency controls, private networking, and enterprise-grade security architecture.

UiPath Automation Partner
Automation

Enterprise RPA and AI automation platform connecting private AI to existing ERP, CRM, and back-office workflows — without replacing your infrastructure.

Example Use Cases

Three areas where
AI reliably delivers.

These are the workflow types that most commonly produce a clear go recommendation from the Sprint. Your specific situation determines which one is right — that is what the Sprint is for.

Document-Heavy Workflows

Repetitive document handling that consumes finance, procurement, or operations headcount

Invoice processing, purchase order matching, contract review, tender comparison, approval routing. When staff spend most of their time classifying, extracting, and routing documents rather than making decisions, AI can automate the routine volume and surface only exceptions for human review.

Invoice Processing Procurement Review Contract Handling
Internal Knowledge Workflows

Information that exists inside your business but cannot be found or used reliably

SOPs, policies, past decisions, product data, compliance records — information that staff ask senior people about repeatedly because no system makes it retrievable. AI can sit over your internal documents and return grounded, consistent answers with access controls and source visibility.

Internal Search SOP Retrieval Compliance Q&A
Reporting and Visibility Workflows

Management information that arrives too late to act on, or has to be assembled manually each period

Monthly close, management reporting, cross-system consolidation. When leadership operates on week-old data because reports are assembled manually from disconnected systems, AI can compress the cycle and surface anomalies before they compound undetected.

Financial Close Group Consolidation Anomaly Detection
Illustrative Example
Illustrative example based on deployment patterns

The problem leadership could not see was the one costing the most.

The situation: A holding group with six subsidiaries on four different systems. Month-end consolidation was manual and took over a week. Leadership was making decisions on data that was already 10–12 days old. A cost problem in one subsidiary had been running for months before it appeared in any report.

What changed: After a Decision Sprint that identified group reporting consolidation as the highest-value first use case, a private AI deployment unified the four systems into one real-time view. The reporting cycle compressed substantially. The cost anomaly became visible within weeks of deployment — not months.

Outcomes vary by organisation, systems complexity, and data quality. Specific figures are not guaranteed for any engagement.
Weeks Typical time for AI to surface anomalies that manual reporting missed for months
Days → Hours Direction of change in reporting cycle time where group consolidation is deployed
10 Days Time from first call to Board Decision Memo delivered in person

Thai Banks & Financial Institutions

Thai PDPA compliance is non-negotiable. Client records and transaction data never leave Thailand.

Multinational HQs in Bangkok

European and US compliance mandates require local data control. Your Bangkok CTO already has this on their risk register.

Thai Family Conglomerates

Dozens of subsidiaries across Thailand, zero cross-division visibility. One private AI deployment unifies your entire group.

Legal & Professional Services

Client confidentiality makes cloud AI a direct liability. Private on-premise deployment is the only defensible option.

Private Hospitals & Healthcare

International patient data and cross-border insurance compliance require sovereign infrastructure — not cloud AI with opaque data handling.

Logistics & Supply Chain Thailand

Real-time intelligence across your Thai and regional operations. Private AI connects every node without exposing route data or supplier contracts.

Insurance Companies

Risk models, actuarial data, and claims intelligence are among the most sensitive data classes. Private AI is regulatory expectation.

Technology & SaaS Enterprises

AI that exposes your proprietary training data or model architecture to competitors is an existential risk, not a productivity tool.

Who this is for

Built for operators.
Not for everyone.

Right fit — call worth having
You have one costly workflow — a repeatable part of the business that is wasting time, increasing payroll load, slowing execution, or reducing visibility.
You can define the problem clearly — not "we need AI", but one specific operational issue that needs a commercial answer.
The workflow owner can join — someone close to the process can explain how the work runs today, where it breaks, and what good looks like.
A decision-maker is involved — owner, MD, or director level, with the ability to approve a narrow first step without a long internal cycle.
You want a commercial answer: where to start, what to ignore, and whether a pilot is justified.
Not the right fit
You want a demo first — this is not a product pitch, software showcase, or vendor comparison exercise.
You want a broad roadmap — before one workflow is tested, a full AI transformation plan is the wrong starting point.
No operator is available — without someone who knows the workflow in practice, the call will stay abstract and low-value.
The business is still too early — there is not yet enough process stability, workflow volume, or operating weight for a focused AI decision to matter.
You are looking for generic AI tools — this engagement is for businesses that need a tailored workflow automation.
Who Does the Work
Den Unglin — Managing Director, UNGLIN Co. Ltd.
Den Unglin Managing Director

Every engagement.
Led by Den.

Den has spent 18+ years inside operating businesses — as a founder, CEO, and adviser across 12 markets and 50+ business types. He has seen the same failure pattern repeatedly: companies commit to AI deployment before they know whether it will pay.

The Decision Sprint came from that experience. Narrow scope. Fast timeline. Honest output. No junior teams. No consulting theatre. You work directly with Den throughout the Sprint, with specialist support behind the technical analysis where needed.

Every engagement starts in person in Bangkok. NDA signed before any work begins. Your data does not leave the room.

Deployment Partners Microsoft Solutions Partner AWS Select Partner UiPath Automation Partner
18+Years direct
P&L responsibility
50+Business types
operated
12Country
markets
BangkokBased & in-person
available

UNGLIN Co. Ltd. Nr. 0505566006201 · True Digital Park, Bangkok · Specialising in AI Decision Sprints and private-first AI deployments for Thai owner-led businesses.

01

Discovery Call

30 minutes. We identify which deployment paths fits your situation before any scope is agreed.

02

AI Decision Sprint

In 10 business days, Den looks at your operations, finds your biggest cost problem, and tells you exactly which AI will fix it first.

03

Pilot AI Deployment

Working pilot deployed inside your Thailand infrastructure in 3–12 weeks. You see measurable ROI before committing to full deployment.

04

Ongoing Support

Bangkok-based team. Same timezone. Direct access — not a helpdesk ticket. In-person meetings in Bangkok available.

Find out in 30 minutes whether the Sprint makes sense for your business.

Book a 30-minute call → Bangkok team · In-person available · No sales pitch
Thai PDPA Enforcement — Active

Enterprises that use foreign cloud AI
are a compliance liability.
The regulatory window has closed.

1 August 2025
฿21.5M

Thailand's PDPC issued 8 fines across 5 cases in a single announcement — private companies, state agencies, and data processors. No sector was exempt. Source: PDPC Enforcement Announcement, 1 August 2025

13 April 2025
5 Yrs

Emergency Decree on Technology Crimes No. 2 took effect. Certain misuse of personal data connected to technology crime now carries up to 5 years imprisonment and ฿500,000 fine — with personal liability potentially extending to responsible directors. Source: Royal Gazette, 12 April 2025

March 2024 — Ongoing
Zero

Cross-border transfer rules under PDPA have been active since March 2024. Groups without confirmed transfer safeguards, access controls, or DPO arrangements are carrying unresolved legal exposure — regardless of size. Source: PDPC, 2024–2025

Example: When your staff use ChatGPT with company data — contracts, payroll, subsidiary P&L, client files — they are sending that data to foreign servers outside Thai jurisdiction.

Before You Call

Questions that
matter.

In 10 business days: Day 1–2 is an in-person session in Bangkok with Den — 3 to 4 hours, no technical background needed. We map one problem area in your business. Days 3–9 Den works independently — no time needed from your team. Day 10 we present the Board Decision Memo and all supporting papers in person. You receive one clear recommendation: which workflow to pilot, why, what KPI to measure, and whether to proceed. Total time from your team: approximately 6 hours.
We tell you that clearly on Day 10. The deliverables are yours regardless of the outcome. Knowing where not to commit ฿1M–฿30M to deployment is as commercially useful as knowing where to start. A Sprint that says "not yet and here is why" saves you far more than it costs.
A comparable scoping engagement at a major consulting firm in Thailand typically takes 6 to 12 months and runs significantly higher in cost. The Sprint produces one decision in 10 business days at a fraction of that investment — because it is scoped narrower, moves faster, and is founder-led throughout. Big 4 firms are the right choice for large listed companies needing governance certification at scale. UNGLIN is the right choice when the owner makes the decision and needs a clear answer fast.
Full NDA signed before any work begins. The intake session is in person in Bangkok — your data does not leave the room. All analysis is done on UNGLIN's own secured equipment. No company data is uploaded to any external system. Your legal contact can review the NDA before you agree to anything.
No. The Sprint deliverables are yours regardless of what you decide. You can run the Pilot with UNGLIN, with another provider, or with your own internal team using the recommendations from the Sprint. There is no obligation beyond the Sprint itself.
You have a live workflow, a measured result, and an honest view of what comes next. UNGLIN can support scaling that workflow, adding adjacent use cases, or building governance structure for multiple deployments — but only if the Pilot numbers justify it. There is no default commitment. The next step is always scoped from evidence, not from a pre-agreed programme.
The Sprint includes a Tool-Governance Risk Note that maps where uncontrolled staff use of public AI tools creates potential cross-border transfer, access-control, and confidentiality exposure. This is delivered as a working paper for management and counsel review — it is a risk map, not a legal opinion. Legal sign-off on your specific situation remains with your own counsel. UNGLIN deploys private-first architectures wherever possible to reduce that exposure structurally.
Book Your Call

Start with a
30-minute call.

Den takes every first call personally. In 30 minutes, we cover what your operation looks like, where the Sprint would focus, and whether it makes sense for your situation right now. If it does not, we tell you that on the call.

No commitment required. No follow-up pressure. Bangkok team. Same timezone.

Location True Digital Park, Bangkok · In-person available
What to expect on the call

We spend 30 minutes on three things: what your operation looks like right now, which workflow area seems most worth examining, and whether the Decision Sprint is the right next step. If it is, we agree a start date. If it is not, we tell you what would need to be true for it to make sense.

Book a 30-minute call →

Typical response within one Bangkok business day. Den answers directly — no account management layer.