Family Business Advisory · Bangkok

Make your business easier to understand, lead, and scale.

P1 Thailand helps founder-led companies see the business clearly, find the real constraint, and build a focused system so your judgment goes further. The advice comes from operating experience inside a family group — not consulting theory.

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Or take something useful first — the method we teach, free, no sign-up →

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Start here — free

Three rules, and the formula behind a good prompt.

This is the first thing we teach, and it is the whole of it. Use it today, with or without us.

Always check.

AI can be confidently wrong — inventing a figure, a citation, or a policy that sounds right. Read every output before you rely on it, and never let it be the last set of eyes on anything that matters.

Give clear instructions.

Vague in, vague out. The more you tell it about the situation, the task, and the shape you want back, the better the result. Instruction quality is the single biggest lever you control.

Keep company data in company tools.

Company data belongs in the company's sanctioned AI workspace — never in a personal account or a random consumer app. Where the data lives decides which tool you are allowed to use.

Context + Task + Format = Result

Worked example: “I manage the front desk at a serviced-apartment building and a guest has emailed to complain that their aircon was noisy for two nights (context). Draft a warm, apologetic reply that offers a partial credit and a follow-up call (task). Keep it under 120 words, friendly but professional, and give me two subject-line options (format).” — then read it, correct the details only you know, and send it yourself.

The written curriculum is published in full on this site — free, no sign-up, no email required. Read the whole curriculum →

Free tools — nothing collected

Four things you can use on your own business tonight.

The Dependency Map

Answer four questions, get back a printable one-page read of what your business depends on, what must survive a handover, and what is only a mechanism you inherited. Runs entirely in your browser.

Open the tool →

The Data-Fracture Diagnostic

Being sold an ERP? Run this first. A seven-task prompt for your own AI assistant, pointed at your own files. It produces your numbers, not our opinion.

Get the prompt →

The Four Questions

The whole instrument, in English and Thai, with what each question is actually for. Ask them of yourself, or of someone who runs something you care about.

Read them →

The Leave-Behind

How to write an honest one-page read of a business after a day inside it — the seven rules and the structure, published in full.

Read the method →

No account, no email address, nothing stored. If these help and we never speak, that is a good outcome. See all four →

Operating record

35Years of family-business operating history behind the practice
10Years from intern to executive, inside the business
CMI L7UK-accredited leadership qualification
Services

What We Do

Four services, one method. Each starts from the same discipline — understand how the business actually runs before changing anything — and is scoped to the specific company, not a fixed package.

Michael Ananpasin in a one-on-one advisory working session over documents 01

Family Business Advisory

Strategy, succession, and governance for companies where ownership and management overlap. We make the founder's knowledge transferable, so the business runs without depending on one person. Method: start from how the business actually decides, then work back to the real constraint.

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A hands-on AI training session, a team working on laptops 02

AI Operating Systems

Source-of-truth architecture and executive workflows, with AI applied where it earns its place: intake, institutional memory, reporting, and drafting — not demos. Method: build a focused system around the constraint.

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A facilitated working session at the strategy canvas wall 03

Brand & Digital Presence

The company's real position, made clear to the market — messaging, identity, and a website that reflects the business rather than a template. Method: make the business clear to the people outside it.

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An advisory working conversation over documents 04

Facilitation & Executive Training

Facilitated sessions where leadership teams reach decisions and align on them — in Thai and English, in the same room. Method: keep decisions with the people who own them.

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Michael Ananpasin in a small-group executive advisory session
In Practice

Working with leadership teams on the decisions in front of them.

Before the Software

Fix the source before adding AI

Most family businesses do not lack information. It is scattered across spreadsheets, chat threads, and a few people's heads, and AI inherits whatever it is pointed at.

Information is scattered

What the business runs on sits in spreadsheets, chat threads, and two or three people's heads, each a slightly different version. None of them is the official record.

Knowledge leaves with people

Middle management holds much of the working knowledge of the business. When people leave, that knowledge leaves with them, and the gap is usually noticed too late.

Decisions are not recorded

Decisions are made in meetings and chat threads, then lost. Six months later, no one can say with confidence what was decided, by whom, or why.

AI applied to disorganised data produces disorganised results. We fix the source first, so AI works from accurate information.

Most delays come from unclear decisions, not missing tools.

Our Method

How We Work

Most companies don't need more tools. They need a clearer, more focused way to run the ones they have. So we start with how the business decides — and software comes last, working better for it.

1

See the business clearly

Make how it actually runs visible: what's known, where it lives, and who decides.

2

Find the real constraint

Identify the one thing holding growth back — before choosing any tool.

3

Build a focused system

One source of truth — people, knowledge, tools, and AI pointed at that constraint.

4

Keep ownership clear

The system carries the work; decisions stay with the people who own them.

Software comes last — and works better for it

How the AI Advisory Works
Use Cases

Systems we run in production

Executive intake, daily multi-entity briefings, institutional memory, document pipelines — each published case follows the same shape: what was built, what changed, and what it required.

Use Case

AI-Native Data Refinery

Every piece of work becomes progressively more refined, verified, structured evidence. The document is the source of truth; humans supervise, bounded AI does the work.

Read the case →
Use Case

Autonomous Agent Coordination

A scheduled set of specialized agents covers every operating entity every morning — briefings ready before the first session opens.

Read the case →
Use Case

Voice Brain Dump → Structured Action

A raw multi-topic voice note becomes routed, structured output — actions with named owners, in the format each recipient needs.

Read the case →
Use Case

Daily Multi-Entity Briefing

One morning brief across every entity — deadlines, decisions waiting, and the cross-entity signals no single inbox or tracker can show.

Read the case →
Methodology

A working demo before any proposal

Before any proposal, we build a working demo based on your business, so you can assess the work before you commit to it.

Read the practice →
View All Use Cases
In Production

We run these systems before recommending them

The AI systems described on this site run a live multi-entity operating group every day: the morning brief, executive intake, institutional memory, and document pipelines. They were built and proven in that operating environment first, and they continue to run it.

How It Fits

A single record every team works from

AI built on disorganised data produces unreliable output. We fix the source first, then connect AI to it.

Source of truthOne record: what's known · where it lives · who decides
IntakeEmail, voice, docs — routed
MemoryDecisions kept, not lost
ReportingThe daily brief
DraftingFirst drafts, your voice
Executive surfaceOne brief · one dashboard · decisions ready to make
In the Room

Facilitated working sessions

Leadership teams reaching and aligning on decisions, in Thai and English, in the same room.

Michael Ananpasin leading an applied-AI training session for a working room
Applied AI training
Michael Ananpasin presenting on stage
A working discussion group at a Sasin session
A full facilitation workshop cohort
Workshop cohort
Michael Ananpasin presenting at Sasin School of Management The Practitioner

Michael Ananpasin

Michael Ananpasin founded P1 Thailand, his independent advisory company, and is Chief Strategy Officer of PEO, a Bangkok multi-entity family business group that is currently P1's primary client. Ten years from intern to executive, inside the business. The strategy, facilitation, and AI systems P1 delivers were developed and tested inside a real operating group — and apply well beyond it.

  • Sasin School of Management, Chulalongkorn University — Executive MBA (active)
  • CMI Level 7 Diploma in Strategic Management & Leadership — UK
  • MLit in Business Management — University of St Andrews, UK
  • Bilingual facilitation: Thai and English in the same room

Named engagements: Executive Calibration Programme (Sansiri)  ·  Curriculum Design & Delivery (Sunflower Trilingual School)

About Michael & P1

Most engagements begin with one conversation

Tell us what you are working to solve.

The first conversation is free and goes directly to the practitioner — no sales team, no autoresponder. We map what is known, where it lives, and who decides, and you leave with a read on your real constraint, whether or not we work together.

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