Group AI Intelligence for Thai Family Conglomerates | AI Readiness Assessment Bangkok | UNGLIN

Group AI Intelligence Assessment · Bangkok

Your group closes books
12+ days after month-end.

AI fixes this in 90 days — inside your own infrastructure, with zero data leaving Bangkok. In 10 days we map your multi-subsidiary operation and deliver a ranked AI blueprint built entirely from your own group numbers.

For Thai family groups with 3+ operating subsidiaries · ฿100M+ group revenue
Apply for the Assessment → See What You Receive →

NDA before we start  ·  Data never leaves Bangkok  ·  Fixed fee — no hourly billing

10 Days to your
full blueprint
฿300K Fixed fee —
no extras
6 Documents,
yours to keep
~6 hrs Your team's
total time
PDPA Enforcement — Active

Your staff are sending group financial data
to foreign servers today.
That is now a criminal liability.

1 August 2025
฿21.5M

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

13 April 2025
5 Yrs

Emergency Decree on Technology Crimes No. 2 took effect. Misuse of personal data now carries up to 5 years imprisonment and ฿500,000 fine — with personal liability extending to the MD or director responsible. Source: Royal Gazette, 12 April 2025

March 2024 — Ongoing
Zero

PDPC's stated enforcement position is zero data breach tolerance. Cross-border transfer rules are active. Every Thai subsidiary sending data to foreign servers — ChatGPT, Copilot, Gemini — is in active breach. Source: PDPC, 2025

Every staff member in your group who pastes a supplier contract, employee record, subsidiary P&L, or client file into ChatGPT or Microsoft Copilot is transferring that data to a foreign server outside Thai jurisdiction. The Assessment maps your exact exposure and delivers a written compliance plan your legal team can act on before you spend another baht on deployment.

Does This Describe Your Group?

If one of these is true,
the assessment pays for itself.

Three situations. Each has a measurable cost — most groups don't know the number until we deliver it on Day 10.

01 Month-End Lag

Your group has 3 or more subsidiaries on different systems. Consolidated financials are ready 10 to 15 days after month-end — assembled manually by your finance team.

The global benchmark for multi-entity financial close is 6.4 business days. Top-performing groups close in 4.8 days. Every extra day is management decision latency — the window where undetected problems compound unnoticed. (Source: APQC)

02 Invisible Leakage

A margin problem in one of your divisions ran for two or more quarters before your leadership saw it clearly in the numbers.

In a documented multi-subsidiary AI deployment, a procurement anomaly had been silently eroding working capital for 8 months — visible in none of the reports, raised in none of the board meetings. AI flagged it in week 6. Resolved in 3. ฿40M in working capital freed in the first quarter.

03 PDPA Exposure

Your team uses ChatGPT, Gemini, or Copilot for operational work — and your legal contact has raised it as a risk that hasn't been resolved yet.

With criminal penalties now active under the April 2025 Emergency Decree, the "we'll deal with it later" position is no longer viable. The Assessment maps your exact exposure and delivers a private architecture your lawyer can sign off on before anything changes.

If any of these describes your group today — the ROI model we deliver on Day 10 will identify a minimum of ฿500,000 in annual operational savings. The assessment fee is recovered before the pilot invoice is raised.
The Problem Has a Number

Most groups don't know what it is.

Global Benchmark · APQC

The world's best-run multi-entity groups close books in under 5 days. Thai family groups without AI consolidation systems routinely take 10 to 15.

The gap between those two numbers is not an accounting problem. It is a data architecture problem — and it is exactly what AI solves. Every extra day of reporting lag is a day your leadership makes decisions on information that is already wrong.

6.4 Day global median
multi-entity close
4.8 Day top-quartile
close time
10–15 Day typical Thai family
group close (no AI)
Documented Deployment · Southeast Asia

A group CFO described it as the first time he could see the whole business at once.

Six-subsidiary trading and distribution group in Bangkok. Four disconnected systems. Month-end close: 12 days. A procurement anomaly had been silently eroding working capital for 8 months across every report and every board meeting — completely undetected.

After AI deployment: reporting lag reduced to 4 hours. AI flagged the procurement anomaly in week 6. Resolved in 3 weeks. CFO approved full-group deployment in the same month the pilot completed.

12D→4H Reporting lag
reduction
฿40M Working capital
freed · 90 days
6 Wks For AI to flag
what your systems
never saw

Money leaking from your operation right now is visible to AI in the first 6 weeks of deployment. It is not visible to your current reporting systems — regardless of how well your finance team runs the numbers.

The Assessment identifies precisely where that leakage is in your specific group — before you commit a baht to deployment.

Three Options. One Sequence That Makes Sense.

Why not PwC. Why not a generic IT firm.

The Big 4 are the right choice for listed companies with 12-month procurement cycles. UNGLIN is the right choice for a family group where the owner makes the decision and wants a clear answer fast.

PwC / Deloitte Thailand Generic IT Firm UNGLIN
Time to first answer 6–12 months Unknown — project-dependent 10 business days
Fee structure ฿1M–฿5M+ for strategy Quoted after scope discovery ฿300,000 fixed — no extras
PDPA compliance Policy recommendation only Unconfirmed by architecture Guaranteed by architecture, day one
Who approves the project Your procurement committee Your IT department You — MD, owner, or Group CFO
Multi-subsidiary depth General enterprise frameworks General IT integration Group financial intelligence only
Pilot before commitment No Rarely Yes — evidence before full spend
First contact to signed NDA Weeks of procurement Multiple proposal rounds One 30-minute call with Den
What You Receive

Six documents. Yours to keep.

Delivered Day 10 · In person · Bangkok
03

ROI Projection Model

The financial return for your top 3 AI use cases — built from your actual group cost structure. Not benchmarks. Not averages.

Every projection reflects your real subsidiary cost structure and process volumes. Conservative payback periods with measurable KPIs. The document your Group CFO or MD uses to approve or reject the next step — delivered on Day 10 with a full explanation of every assumption and every number. Ask on the discovery call for a redacted extract.

01

Group Data Infrastructure Audit

Every data source across your subsidiaries mapped — ERP, spreadsheets, databases, document stores. AI-ready confirmed before budget is committed.

We map every data source across your group — SAP, local ERPs, custom databases, spreadsheet-based reporting. You receive a precise picture of what is AI-ready today, what needs 30 days of preparation, and what a group AI deployment connects to on day one. Everything that follows is built on this.

02

Group AI Opportunity Map

Every subsidiary process ranked by AI return — weighted against your confirmed data readiness and cross-group deployment complexity.

Each area of your group operation scored by cost reduction potential, speed gain, and cross-subsidiary visibility improvement. Prioritised so your first deployment is your highest-return deployment — with evidence behind each ranking, not generic industry averages.

04

Private AI Architecture Plan

The exact private AI system for your group infrastructure — integration points, on-premise design, no proprietary lock-in.

Recommended model and deployment approach for your specific setup. Integration points with your existing SAP, ERP, or custom systems across subsidiaries. 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 group staff currently uses, assessed for legal exposure — written and ready for your lawyer to act on.

Which tools currently send your subsidiary data to foreign servers. What your legal risk is today under PDPA and the April 2025 Emergency Decree. 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 Group Deployment Roadmap

Week-by-week action plan for your highest-priority subsidiary use case — including change management. Ready to execute.

Phased plan starting with your highest-return subsidiary and expanding across the group. Budget breakdown, team requirements, integration sequence. Change management included — the reason most group AI deployments fail is adoption, not technology. No obligation to deploy with UNGLIN.

Deployment Record
Multi-subsidiary trading and distribution group · Bangkok · ฿320M group revenue · 6 operating subsidiaries

"The first time I could see the whole business at once."

The situation: Four disconnected systems across 6 subsidiaries — SAP in the holding company, two different ERP implementations in the operating companies, spreadsheet-based reporting in the remainder. Month-end close was 12 days. Leadership was operating on week-old data across every subsidiary simultaneously.

The hidden problem: A procurement anomaly had been silently eroding working capital for 8 months — visible in none of the subsidiary reports, raised in none of the board meetings. No system flagged it. No report surfaced it. It ran through every consolidated P&L review undetected.

The deployment: Private on-premise AI installed in 7 weeks. All four systems integrated into a single group command centre. Live KPIs, cross-subsidiary visibility, and continuous anomaly detection. Group CFO and 6 business unit heads operating from one real-time view. Zero data left the building. Thai PDPA compliance confirmed in writing on day one.

Reference available on request — Den will connect you directly with the engagement contact before you commit to anything.
12D → 4H Reporting lag — 12 days to 4 hours across all 6 subsidiaries
฿40M Working capital freed within 90 days from AI-detected procurement leakage
6 Wks For AI to flag what 8 months of manual reporting missed
3.5× Return on total pilot investment within the first quarter

Composite of documented Southeast Asia deployments. Specific figures available in the redacted ROI extract on the discovery call.

Typical Assessment Findings

Five patterns where AI already pays.

Measured in cost, speed, and control

These are group-level workflows where AI deployments have already reduced manual processing by 90%+, cut reporting lag from 12 days to 4 hours, pushed document access from 20% to 80%, and recovered millions in undetected operational leakage within the first quarter.

Multi-subsidiary group · Cross-entity finance · Consolidated reporting
The assessment found that

Leadership was making group decisions on subsidiary data that was already 12 days old by the time it reached the boardroom.

Finance teams across subsidiaries were consolidating independently, on different systems, with different close timelines. The holding company waited for all subsidiaries to close before producing a group view — introducing a 10–15 day lag in every board decision. Problems that emerged in week 1 of a month were not visible to group leadership until week 3 or 4.

The assessment identified a group consolidation workflow where AI could unify all subsidiary data in real time — producing a continuous group view with anomaly detection, rather than a periodic consolidated report assembled manually.

12 days → 4 hours Continuous group view Anomaly detection live Board decisions on today's data
Trading group · Multi-entity finance · Supplier invoice flow
The assessment found that

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

Invoices were arriving in different formats across subsidiaries, approvals were moving by email, and exceptions were mixed in with routine cases at the group consolidation level. Month-end pressure was not coming from judgement. It was coming from repeated manual handling across disconnected approval chains. 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 across subsidiaries, extract key fields, validate against purchase orders, send only exceptions to finance for review.

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

Each subsidiary was reviewing supplier contracts independently — creating inconsistent review quality and duplicate manual work across the group.

Supplier quotations, tender files, and revised terms were being reviewed manually by separate procurement teams in each subsidiary. No shared intelligence existed across the group. 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 cross-group processes.

The assessment identified a group procurement intelligence workflow where AI could compare supplier documents across subsidiaries, surface term inconsistencies, and prepare consolidated procurement recommendations.

Up to 30% less manual work 15–45% cost reduction potential Cross-subsidiary visibility Better group purchasing control
Family holding group · SOPs, contracts, policies · Knowledge trapped in subsidiaries
The assessment found that

Staff across subsidiaries were repeatedly asking for information the group already had — and getting different answers from different subsidiaries each time.

Important answers existed in SOPs, contracts, templates, and internal documents across the group — but nobody could access them quickly enough, and no single source of truth existed across subsidiaries. Teams were losing time searching, interrupting senior staff, and receiving inconsistent answers depending on which subsidiary they called. 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 a group knowledge workflow where AI could sit over all subsidiary documents and return grounded, consistent answers — with access controls and source visibility built in.

20% → 80% document access 30 minutes → seconds One source of truth across group Less key-person dependency
Multi-division family group · Fragmented ERP systems · Invisible margin leakage
The assessment found that

A cost anomaly in one subsidiary had been compounding for two quarters — invisible across all group reporting until the AI was installed.

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

The assessment identified a group anomaly-detection use case where AI could connect operational views across subsidiaries, explain unusual cross-entity movements, and surface hidden leakage before it compounds.

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

The Assessment starts with your group economics, not tools. It identifies where AI can remove labour across subsidiaries, compress reporting cycle time, detect cross-entity anomalies, and create measurable payback inside your group operation.

Who This Is For

Built for one type of group.
Not for everyone.

Right fit — apply for the assessment
→You operate 3 or more subsidiaries under one holding structure, with separate reporting, separate systems, or separate management teams.
→Your consolidated P&L is ready 8+ days after month-end — assembled from disconnected subsidiary systems by your finance team.
→You or your Group CFO make the decision. No 6-month procurement committee between this call and a signed agreement.
→Group annual revenue ฿100M or more. The ROI model needs real operational cost data to generate a return that is measurable.
→Your subsidiary data is imperfect. Fragmented data is the norm, not the exception. The audit exists to map exactly this situation.
→You want clarity before spending. You are ready to look honestly at your group operations and act on what the numbers show.
Not the right fit — save your ฿300,000
✕Single operating entity. The Assessment diagnoses cross-subsidiary integration — it is not designed for standalone businesses.
✕Group revenue under ฿100M. The assessment ROI model will not generate enough cross-subsidiary return to justify the investment at this stage. Contact us — we will tell you what makes sense now.
✕Requires vendor certification or ISO audit. We will refer you to a firm that can meet those procurement requirements.
✕Expects a software demo or product pitch. We diagnose before we recommend. If you want a product presented, this is not the right engagement.
✕No executive sponsor or board mandate. The Assessment requires access to real operational data and one senior decision-maker. Without this, it cannot produce meaningful output.
Who Leads Your Assessment
Den Unglin — Managing Director, UNGLIN Co. Ltd., Bangkok
Den Unglin Managing Director

Every assessment.
Led by Den. Personally.

Across 18+ years in business operations — founder, CEO, M&A advisory, and operational roles across 50+ business types and 12 markets — Den has seen the same pattern inside multi-subsidiary operations: the problems that cost groups the most money are the ones that don't show up in the consolidated report until it's already too late to act on them.

There is no junior team between you and the work. You work directly with Den throughout the 10 days, with specialist support behind the technical analysis where required. NDA signed before any work begins. Intake session in person in Bangkok. Your data does not leave the room.

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

UNGLIN Co. Ltd. Nr. 0505566006201 · Bangkok-based firm specialising in group AI intelligence, multi-subsidiary deployment planning, and private AI strategy for Thai family conglomerates and holding groups.

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, your Group CFO, or your most senior operations person. No technical background required. We ask group business questions, not IT questions. NDA signed before we start. Your data does not leave the room.

Day 3 – 6

We Analyse Your Group

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

Day 7 – 9

We Design Your Blueprint

We design the group AI architecture for your infrastructure and prepare all six documents. Integration points across subsidiaries 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.

Evidence First. Deploy With Facts.
฿300,000
≈ $9,000 USD · No extras
Fixed fee · No hourly billing · No lock-in
  • In-person intake session in Bangkok — Day 1 to 2
  • Group Data Infrastructure Audit — all subsidiary sources mapped
  • Group AI Opportunity Map — ranked by cross-subsidiary return
  • ROI Projection Model — your actual group cost structure
  • Private AI Architecture Plan — built for your infrastructure
  • Thai PDPA Compliance Report — written, legal-ready
  • 90-Day Group Deployment Roadmap — ready to execute
  • Final in-person presentation to leadership — Day 10
  • NDA signed before any work begins
Apply for the Assessment →

↳ Delivered Day 10 · In person · Bangkok

The ROI model we deliver identifies a minimum of ฿500,000 in annual group operational savings — the assessment fee is recovered before the first pilot invoice is raised.

Why evidence-first matters

Private AI deployment for a multi-subsidiary group costs ฿1,000,000 to ฿30,000,000. Groups 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 group numbers. Then you decide with facts, not a sales pitch.

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

Without vs. with the assessment
What your group needs to know
Without
With
Which subsidiary to deploy AI in first
Guess
✓
ROI built from your actual group numbers
Unknown
✓
PDPA exposure across all subsidiaries
Unknown
✓
Data readiness confirmed before spend
Find out after
✓
Group-level architecture plan
Build yourself
✓

Your group is leaking margin right now. AI sees it in 6 weeks. Your current systems don't see it at all.

Apply for the Assessment → Fixed fee · 10 days · Bangkok team · In-person
Questions Before You Apply

Honest answers. No sales pitch.

Yes. We show a redacted extract from the ROI Projection Model on the discovery call — ask for it directly and we will have it ready. We do not send extracts by email before the call because the model is built for specific group cost structures and a generic extract is only meaningful in context. The 30-minute call is the right place to see it and challenge every assumption.
No — this is the most common situation we work with. The Group Data Infrastructure Audit is specifically designed to map exactly this. It tells you what is AI-ready across your subsidiaries today, what needs 30–60 days of preparation, and what a group AI deployment connects to on day one. Fragmented subsidiary data is not a blocker. It is what the assessment diagnoses.
A demo shows what AI can do in general. The Assessment shows what AI can do in your specific group — using your subsidiary data, your cost structure, and your systems. A demo cannot tell you which subsidiary to start with, what your actual group ROI will be, what your PDPA exposure is across each entity, or whether your data is ready across subsidiaries. The Assessment answers all of these — and the six documents are yours to act on regardless of what you decide next. Private AI deployment for a group costs ฿1M–฿30M. The ฿300,000 assessment is the cheapest way to make that decision correctly.
No obligation at all. The six documents are yours regardless of what you decide. You can deploy with UNGLIN, with another provider, or hand the 90-Day Roadmap to your own team. We tell you this on day one — and we mean it. Our model works because the assessment is genuinely useful on its own.
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 subsidiary data is uploaded to any external system. Thai PDPA compliance is maintained throughout the entire 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, your Group CFO, or your most senior operations person attends. No technical background required. Our team works independently for Days 3–9 with no input needed from you. On Day 10 we present all findings to your leadership team — typically 2 hours. Total: approximately 6 hours over 10 business days.
Apply for the Assessment

Tell us about
your group.

Den reviews every application personally and responds within one Bangkok business day. If the assessment is not the right fit for your group, he will tell you that on the first call — no charge, no follow-up pressure.

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

Emailinfo@unglin.com
LocationTrue Digital Park, Bangkok · In-person available
LinkedInlinkedin.com/in/denunglin
Question 1 of 4
How many operating subsidiaries does your group have?
1 / 4
Question 2 of 4
How long after month-end does your group have consolidated financial results?
2 / 4
Question 3 of 4
What is your group's combined annual revenue?
3 / 4
Question 4 of 4
Your role in the group?
4 / 4
Your group qualifies.
Where should Den reach you?

Den reviews personally. Response within one Bangkok business day.

Not the right fit — yet.

Based on your answers, the assessment ROI model will not generate enough cross-subsidiary return to justify the investment at your current group scale. This is not a permanent no.

Contact Den directly on WhatsApp — he will tell you what makes sense for your situation right now, and what to focus on before the assessment becomes the right next step.

Message Den on WhatsApp →
Done.

Den will review your application and contact you within one Bangkok business day.

In the meantime — ask Den to show you the redacted ROI model extract on the call. Have it confirmed before you agree to anything.