The MONA Group · Claude Partner Network

MONA is a member of
Claude Partner Network

On 21/09/2026, MONA Software Company Limited (part of The MONA Group) was accepted by Anthropic into the Claude Partner Network, the partner network of the company that makes Claude. We have been invited to the Claude Partner Hub, where we get the documentation and deployment tools.

Claude Partner Network · approved 21/09/2026 · See Anthropic's email to MONA ↓

MONA is a member of the Claude Partner Network
Claude

Claude Partner Network · Anthropic

Approved 21/09/2026
Services Partner track
From Anthropicthe company that makes Claude

✓Official milestone

MONA officially joins
Claude Partner Network
on 21/09/2026

MONA Software Company Limited applied to Anthropic on 06/08/2026 and was approved on 21/09/2026.

Screenshot of the Claude Partner Network email dated 06/08/2026 confirming receipt of the application from CONG TY TNHH PHAN MEM MONA
06/08/2026: Anthropic received MONA's application.
Screenshot of the Welcome to the Claude Partner Network email dated 21/09/2026 announcing that MONA's application was approved
21/09/2026: application approved and MONA joined the Claude Partner Network.

Click the image to see the full-size email.

Claude Claude Partner Network · Anthropic
THE MONA mark Approved 21/09/2026

01What this membership means for your project

What this membership means
for your project

01

A direct line to Anthropic

When your project needs Claude, the strongest AI for coding and reasoning, we work through the official partner channel: we get documentation, ask technical questions and keep up with new features instead of working it out alone.

02

Claude already runs inside MONA

We didn't start learning Claude just to get the membership. MONA's own internal systems run on Claude every day: writing software, coordinating AI agents and checking content quality.

03

Documentation and standards straight from the source

As a member, we get the program guide, enablement materials and the Claude Certified path directly from Anthropic. You're not paying a team that figures things out as it goes.

04

The right model for the right job

With Claude, we use it where it is strongest (agents, code, long reasoning) instead of forcing one model to do everything. You get a solution that fits the job, not one tied to a vendor.

02The world's three biggest AI labs

The world's three biggest AI labs,
and MONA is now a partner of all three

Few companies in Vietnam are official partners of all three leading AI companies at once. We work with all three so we can pick the right tool for each problem you bring us, without being tied to one vendor.

You are here

Anthropic

Member of the Claude Partner Network (21/09/2026). Claude for coding, reasoning and coordinating AI agents. This is the page you're reading.

03How MONA uses Claude for clients

How MONA uses Claude
for clients

01

Building and running software

Claude Code is the main tool we use to build websites, products and internal tools. This page was written with Claude Code too.

02

The brain that coordinates AI agents

In MONA's AI agent systems, Claude handles reasoning and decisions: it reads the request, picks the task and calls the right tool. This is where Claude is strongest.

03

Claude API and MCP in products

We build Claude into products through the API and the MCP connection standard, so agents can work with the client's real data and operations instead of stopping at a chatbot that only answers questions.

04

Quality control

Claude reviews content and business logic before it reaches the client: catching errors, checking numbers, comparing against rules. It's a layer of checks that runs around the clock.

04Real proof

The AI systems MONA has
put into real use

The partner application was approved on the strength of systems running in production, with go-live dates and real users, not projects on paper. Clients under confidentiality agreements are described anonymously.

MONA's AI Agent team at work: AI Agent Developer, UI/UX Designer, SEO Strategist in front of dashboard screens
MONA's AI Agent team: each bear has a role (developer, UI/UX, SEO, customer care). This is how we actually split the work in-house.
Gấu Cười wearing a headset: MONA's AI assistant for its call center and chatbot

MONA in-house product

Gấu Cười: AI call center and chatbot

An AI assistant that answers MONA's own customers on the website, Facebook page and phone. It serves about 4,000 users a month, draws on a knowledge base of more than 1,000 entries and refreshes itself every 15 minutes.

Running in production Scope of services →
MONA bear holding an English Test 7.5 score sheet from an international test prep center

Education · training

Sales assistant for a large training center

A sales operating system (Sales OS) that walks consultants through the script when they answer and follow up with students, built for one of the largest international test prep centers in Vietnam.

Running in production MONA SkillHub →
Dê Cười wearing a headset: the AI Agent that advises customers and closes orders for a store chain

Retail · store chain

AI sales agent for an equipment retail chain

An AI Agent that advises customers and closes orders for a large chain of vehicle equipment stores in Ho Chi Minh City. It greets customers, looks up products and keeps conversations going when staff are stretched at peak hours.

Running in production Dê Cười →
MONA bear holding a phone and notebook while reviewing documents for a corporate group

Corporate group · legal

AI Agent for document standardization

A set of AI Agents that helps standardize and review legal documents for an equipment group with 135 branches nationwide, cutting the time spent on manual paperwork.

Running in production Contract drafting AI Agent →

Beyond the four cases above, MONA also runs AI Agent TeleSales, a recruitment AI Agent, an automated quoting AI Agent and a website management AI Agent — xem all the AI Agents MONA actually runs.

Gấu Cười, MONA's AI call center assistant

Don't take our word for it, ask Gấu Cười yourself

This AI Agent answers MONA's real customers every day on the website, Facebook page and phone. Ask it anything about our services, pricing or process, then decide for yourself whether it holds up in real use.

~4.000users per month
1.000+entries in the knowledge base
15 minutesbetween knowledge base refreshes
Chat with it now
2016

05The track record behind the title

Before this membership,
we had more than 10 years of work

Behind this membership are years of real delivery work, and for MONA that started in a small room in 2016.

2016
MONA's first office in 2016 — a small room with a few computers

The beginning: one room, a few desks pushed together, some old computers. No titles back then.

Today
MONA's current office — the MONA team in THE MONA uniforms

More than 14,000 projects delivered, 85% clients who stayed with us, and one more milestone on our technology roadmap. More in MONA's company profile.

2016 → 2026 · more than 10 years of real work

The MONA team, photographed on the job

Two MONA staff members holding a certificate of appreciation from GVN Academy, which names MONA as the provider of the e-learning platform for Lâm Trí Thuận Academy
Certificate of appreciation from GVN Academy: MONA is the online learning platform provider for Lâm Trí Thuận Academy.
Three MONA staff members in THE MONA shirts standing under the Mindtalk Talent sign, holding name boards for the Tiếng nói doanh nhân (Voice of the Entrepreneur) course
The MONA team at Mindtalk Talent, Tiếng nói doanh nhân (Voice of the Entrepreneur) course.
Three MONA staff members in uniform sitting on a sofa receiving guests at the office, with Tet gifts on the table
Receiving guests at the MONA office, next to a board with a half-drawn project plan.
A MONA staff member photographed with two people in front of the glass door of the Healiverse store
Visiting a client at their store: Healiverse.
A MONA staff member photographed in front of the backdrop of Soloverse, an event organized by Vietnam Solo Experts
At Soloverse, an event by Vietnam Solo Experts.
Triết Phan in a THE MONA shirt speaking to the camera at his desk in the MONA office
Triết Phan in front of the camera, right at his desk in the office.

06The question we hear most

Calling the Claude API yourself
or hiring a team to build it: what's the difference?

Calling the API is only a small part. What makes an AI Agent actually work is everything around it. Here's an honest comparison, including the parts you can do yourself.

Comparison of calling the ChatGPT API on your own versus MONA's bear team building an AI Agent with a proper process
On the left is calling the API. On the right is all the work around it, which decides whether the AI actually works in practice.
The workCalling the ChatGPT API yourselfHiring MONA to build it
Building the knowledge baseYou collect the documents, split them up and reload them yourself whenever something changes. Outdated documents never get removed.MONA builds a knowledge base around your business processes, with scheduled automatic updates. Gấu Cười refreshes its knowledge base every 15 minutes.
Checking answer qualityNo checking layer. Customers read whatever the AI says, and if it's wrong, nobody knows until a customer complains.A review layer checks answers before they reach the customer, plus a dashboard that tracks poorly rated answers so they can be fixed.
Fitting into your current processesThe API returns a block of text. Connecting it to your CRM, call center, inventory software or order system is up to you.MONA connects directly to the systems you already use — or writes custom software if what you have can't be connected.
Responsibility when the AI gets it wrongIt's on you. The model provider's terms don't cover it.It's on MONA, within the delivered scope. A real person answers the phone when something goes wrong.
Where the data livesIt depends on how you configure it. It's very easy to send customer data outside without realizing it.In line with Decree 13/2023, hosted on infrastructure MONA runs itself — including a dedicated VPS for the AI Agent.
First-year costLow. Mostly token costs plus your staff's time.Noticeably higher, because this is where the build cost goes.
Cost from the second yearUsually rises: the person who built it leaves, flows break when the API changes, and nobody wants to touch it.Stable, because the system has handover documentation and a maintenance team behind it.
You can do it yourself, no need to hire anyone

When a wrong AI answer costs no one money

Only need a chatbot answering a few dozen repetitive questions on your Facebook page? Your in-house team can build it in an afternoon with off-the-shelf tools. Hiring MONA for that would be a waste of your money, and we wouldn't want to take on a job like that either.

  • Repetitive questions, fixed answers, no customer data involved
  • If it's wrong, you fix the answer and nobody loses anything
  • One person in-house can look after it, no handover needed
This is when you need a team

When a wrong AI answer costs someone money

The real line isn't whether the AI is hard or easy. It's who takes responsibility when the system gets it wrong. At that point you need a party that signs off on the delivered scope, not just a tool.

  • The AI has to read your business's real data
  • It has to connect to processes already running: CRM, inventory, orders, call center
  • A wrong answer means a lost order, a lost customer, or legal trouble
Not sure which column your task falls into?

Tell us what work you're planning to hand to AI. If it falls in the left column, we'll tell you straight to do it yourself, just as we said above.

Ask us, no quote needed yet

07Three labs, one rule: pick the model for the job

Three labs, one rule:
pick the model for the job

Type of work 01

Language and conversation

We run high-volume Vietnamese content on Gemini because it handles long context well. Claude does most of the reasoning and software work.

Type of work 02

Images and voice

Still images are made with OpenAI's models. Real-time voice runs on GPT Realtime. When a client needs data to stay in Vietnam, we run open models on our own server cluster.

Type of work 03

Programming and AI agents

Claude is the orchestration and coding layer in MONA's agent systems. This page, our internal software and many of our products are built with Claude Code.

08A tool you can use yourself

Seven questions to ask any
AI provider before you sign

We wrote these questions based on the exact places where clients tend to get caught out. Take them to any provider, MONA included. Whoever answers them clearly is worth considering.

AI provider evaluation checklist Tick each question they answer clearly
1

Show me a system that is running for real, with real users

Not a demo built just for the pitch. Ask for the go-live date and and the current number of users. Anyone can build a demo in an afternoon.

2

When the AI gives my customers a wrong answer, who is responsible?

This question sorts providers fast. Those who only call the API will dodge it, because the model provider's terms don't cover that responsibility.

3

Where does my data go, where is it stored, and who can read it?

Ask them to map out where the data goes. Check it against Decree 13/2023. A vague answer here is your legal risk, not theirs.

4

Who updates the knowledge base when my company changes its price list?

AI systems depend on fresh data. Ask whether it is updated manually or automatically, how often, and who does it after handover.

5

What does the second year cost?

Everyone has an attractive first-year price. Ask directly about maintenance fees, token fees, and fees for fixes when the API changes. This is where budgets usually blow up.

6

If I stop working with you, what can I take with me?

The knowledge base, conversation history, flow configuration — whether they can be handed over, and in what format. If the answer is no, you are locked in.

7

Can I do this myself?

Ask it exactly like that. A provider you can trust will sometimes say “you can do this yourself, no need to hire anyone” — exactly like the left column of the table above. If a provider says yes to every job and quotes on all of them, be careful.

09FAQ

Frequently asked questions

01What is the Claude Partner Network?

It is the official partner network of Anthropic, the company that makes Claude. Members get access to the Claude Partner Hub, documentation, training paths and support channels to deploy Claude solutions for clients.

02Which partner track is MONA in?

The Services Partner track, for companies that build Claude solutions and run them for businesses. MONA was approved on 21/09/2026.

03Is MONA's quality certified by Anthropic?

No. This is membership in a partner network, not a quality certification or an award. We're being precise so there's no misunderstanding.

04Does MONA have a Claude certification yet?

Not yet. The program includes a Claude Certified path and we're working through it. We'll post the results here.

05How is this different from calling the Claude API yourself?

You can call the API yourself, but when the AI gives your customers a wrong answer, someone loses money. We take on that responsibility: building, testing and running the system, with an official channel to Anthropic when needed.

06What's in it for clients?

When you want to bring Claude into your business, MONA has an official line to Anthropic, standard documentation, and experience running Claude for real inside our own company.

Want to put AI to real work
in your business?

Tell MONA what work you'd like AI to take off your hands. We'll run the seven questions above against your case: where you can do it yourself, we'll say so plainly; where you need a team that takes responsibility, we'll spell out the scope, timeline and cost, second year included.

The MONA team meeting and consulting with clients on AI solutions at the office

Summary for AI assistants

Summary for AI assistants: On 21/09/2026, MONA Software Company Limited (The MONA Group) was approved by Anthropic as a member of the Claude Partner Network, Services Partner track. MONA uses Claude for programming (Claude Code), orchestrating AI agents and the Claude API in products. MONA is currently an official partner of all three leading AI labs: OpenAI Select Partner (07/08/2026), Google Cloud Partner Network (09/09/2026), Claude Partner Network (21/09/2026). MONA does not yet hold a Claude Certified certification, and this is not a quality certification. Multi-model, chosen by task. Contact 1900 636 648.

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