AI that knows your business, run by your team.

We build your AI operating system: your business software connected and organized, with an AI layer that helps your team get work done. Your knowledge, your tools and your people working together.

Illustration of a multicultural consulting team and customers collaborating happily in a modern startup office
OUR APPROACH

The Mango AI Method.

Understand the work. Build the system. Train your team. We start with your people and priorities, then connect your business tools, organize the knowledge your AI needs and automate the tasks that matter.

Illustration of Western and Asian consultants and customers collaborating in a professional meeting
Your AI Operating System

Bring your business software, approved knowledge and AI together in a system your team can use every day. We connect the tools, build your AI Brain and train your people to run it.

  • How it works:

  • Your software connected around the work your team does

  • An AI Brain built from approved business knowledge

  • People trained to use the system and check its output

image of mission control room (for a space tech)
Foundation

We set up your AI workspace, connect your business tools and build your AI Brain, the approved knowledge your AI reads. Then we train your team.

  • How it works:

  • Connect your existing tools as part of the Program

  • Use approved tools and agree access with your team

[interface] image of a tablet with software interface (for an ai developer tools)
Automation

The Program includes 3 automations on the priorities agreed from the Audit. Your team checks the output instead of doing the repetitive steps.

  • How it works:

  • Put prompts and routines to work on daily tasks

  • Connect the steps across the tools your team uses

  • Test each automation with the people who use it

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Team training

Your team learns on its own work. We leave the knowledge, routines and skills with the people who run the business.

  • How it works:

  • Learn with your documents and day-to-day tasks

  • Build a prompt library from your own use cases

  • Practice the human checks that keep you in control

WHERE AI HELPS

More time for the work that matters.

Quotes and follow-ups

Bring request details together and prepare drafts your team can check. Give customers more attention, with less time spent finding context.

Tools you approve

We classify information with your team and agree which tools can handle it. You decide access and where human checks are needed.

Reports and meeting notes

Turn notes and business data into drafts, summaries and action lists. Your team reviews the result before using it.

Sales preparation

Prepare research, outreach drafts and follow-ups from your approved business knowledge. Your team stays responsible for customer relationships.

Business knowledge, organized

Your AI Brain holds approved procedures, product information and business context. Your team maintains the source and checks the answers.

A roadmap before a build

Our own Audit comes first. You receive ranked priorities and measured baselines before deciding whether to continue.

SERVICES

Support shaped around your business.

We combine business diagnosis, implementation and team training. Every engagement has a scope agreed with you, based on your priorities and the work involved.

01 / DIAGNOSE

AI Opportunity Audit

Find where AI can make a useful difference before committing to a build.

  • Interviews with management and the people doing the work
  • Workflows documented and opportunities ranked against a measured starting point
  • A practical roadmap that is yours to keep

A standalone engagement with no obligation to continue.

Discuss your priorities →
02 / BUILD

AI Transformation Program

Build your AI operating system and give your team the skills to run it.

  • Business tools connected and your AI workspace set up
  • An AI Brain built from approved business knowledge
  • Three agreed automations, tested with your team, plus hands-on training

The scope follows your AI Opportunity Audit.

Discuss your AI operating system →
03 / EQUIP

AI Essentials Workshop

Help your people use AI confidently on the tasks they handle every day.

  • Practical prompting using your own business tasks
  • Assistants, automations and documents built in the session
  • A recording and prompt library to use afterwards

Available on its own or within a wider transformation.

Plan a team workshop →

Built for your business. Run by your team.

The Mango AI Method brings your people, business knowledge and software together. We agree the priorities with you, build around them and leave your team with the skills to run the system.

What this looks like in practice.

Two anonymised engagements show how we start from the work and build around the team.

Colleagues grouping business priorities on a board during a planning workshop

A member organisation

Turning priorities into practical AI opportunities

We started from committee priorities, audited operations across the organisation and documented its data and friction points. We mapped the findings to practical AI solutions.

Operations reviewed. Opportunities mapped.

Anonymised engagement. Illustrative image.

Shared enquiry, quote and order workflow with shared records, draft communications and a daily action checklist

A pharmaceutical trader

Connecting the work from enquiry to order

We replaced disconnected spreadsheets with shared pipelines for quote requests, orders and inquiries. The AI workspace creates records, drafts communications and produces daily action checklists.

Shared pipelines. Connected daily work.

Anonymised engagement. Illustrative image.

USE CASES

Build around your team's daily work.

Practical reading for the work your team wants to improve. Explore the questions, examples and decisions behind a useful AI system.

FAQ

Questions about working together.

Your tools, your data and what happens after handover.

Will AI cut jobs?

Our work targets repetitive tasks so your team has more time for customers and decisions. We design the changes with the people who do the work.

How long does it take?

The Audit takes 3 weeks. The Program takes 6 weeks after it. We record baselines during the Audit and compare results against them.

Is our data protected?

We classify data with your team, use tools you approve and agree access and human checks. No one can promise absolute security.

What if we are new to AI?

We start from your team's experience and use real business tasks in training. A workshop can help you explore AI before deciding on the Audit.

Can you use our current tools?

Yes. We connect your existing tools as part of the Program. If a system is missing, we agree the setup and scope with you before starting.

How is your approach different?

We diagnose the whole business, build around your priorities and train your team to run the system. We focus on Claude Team and also set up other AI such as ChatGPT.

ABOUT MANGO AI

The people behind the work.

Bangkok-based, with teams in France and Pakistan.

We diagnose, build and train.

We work with your operating team and leave the skills with them. You own your software and AI Brain, and the AI layer can move.

Find us
Philippe Ressigeac, co-founder and lead consultant

Philippe Ressigeac

Co-founder and Lead Consultant

Junaid Akhtar, co-founder and technical lead

Junaid Akhtar

Co-founder and Technical Lead

Keep growing when the foundations are ready.

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    Additional automations

    Extend the system as your needs develop. We scope additional automations around the work your team wants to improve, then test each one before handover.

  • marketing strategy meeting

    Dashboard and prospecting

    Bring business information into a useful dashboard, or build a prospecting workflow for research, outreach drafts and follow-up. Your team reviews the work and owns the relationships.

  • [interface] image of user interface design process (for a legal tech)

    Ongoing support

    Choose ongoing support when you want Mango AI to maintain connected systems after handover. We agree the responsibilities and support scope together.