AIMakers
At most 3 new clients a month

Your company, run by an AI operating system

Not a pile of tools. An OS: your data, your processes and your agents in one place, working together. It’s what runs AI Makers, and what we install at our clients.

The problem

You have tools everywhere. No system.

ChatGPT over here, Copilot over there, three automations asleep in a corner. Each tool works alone. Nothing flows.

01

The licences pile up

Every team bought its own tool. None talk to each other. You pay for ten subscriptions across ten silos, and the work still moves by copy-paste.

02

Knowledge is scattered

Your processes live in email, drives and people’s heads. When someone leaves, their knowledge leaves with them. No AI can work on knowledge it can’t find.

03

No one is at the controls

The data reports nowhere. Every decision starts with a hunt for numbers across five tools. You run on instinct a system you can’t see.

The thesis

An OS, not tools.

An AI-native company doesn’t kit itself out. It architects itself. The difference fits in one line: tools get added, an OS fits together.

Four layers. Your data structured at the bottom. Your processes automated above it. Agents that execute. A control layer that surfaces everything. Pull one layer and the rest collapses. That’s why isolated tools change nothing.

04

Control

Your KPIs surface on their own. You see what’s running, what’s stuck, what’s paying off.

03

Agents

They execute: they read, sort, draft, follow up and report back.

02

Systems

Your processes automated, department by department, each with a KPI.

01

Data

Your knowledge structured, out of email and people’s heads, reachable by the agents.

The four layers of an AI operating system. Each layer rests on the one below.

In production

An agent for every floor. This is what an OS in production looks like.

A sample of the systems running, here and at our clients, sorted by department.

Central AI brain

Your data, unified and steered

SalesforceSalesAgent in production
Power BIFinanceAgent in production
MetaMarketingAgent in production
NotionOperationsAgent in production
ClaudeLeadershipAgent in production
LinkedInHRAgent in production

One system. An agent for every floor of your organisation.

Marketing

GEO audit and tracking

Your visibility in AI answers tracked continuously: citations won, share of voice against competitors, SEO positions, prioritised actions

Sales

Call intelligence

Every call analysed: objections, buying signals, next step pushed into the CRM

Sales meeting preparation

The full brief ready before every meeting: context, recent news, history of exchanges and angles to play

Lead qualification and callback in 5 minutes

Every inbound lead qualified, enriched and called back within 5 minutes, day and night: a lead contacted in 5 minutes qualifies 21 times better than one contacted at 30

Tender and RFP responses

The response pack assembled in hours instead of days: specification analysed, answers pulled from your library, formatting ready to review

Finance

Supplier invoice processing

Every invoice read, matched and pre-booked, with only the exceptions coming to you

Overdue invoice chasing and collection

Every late invoice chased at the right moment, in the right tone, with automatic escalation: DSO melts, cash flow breathes

Leadership

Management dashboards

Your KPIs current every morning, and your teams answer their own data questions

Daily decision cockpit

The morning decision brief, generated before you reach the office

Engagement health tracking

Every client engagement scored weekly, with weak signals caught before satisfaction dips

Operations

Customer support agent

First-line support handled on WhatsApp and Telegram, day and night

Describe the process, we build the system.

Build your own
Client case

What it looks like at Gepromed

Gepromed, a European medical-device hub, runs on an AI Makers OS: go-to-market, internal processes, control.

“AI Makers supports us well beyond training: an operating system to structure our business, custom AI agents for our go-to-market and our internal processes. Their strength: making AI applicable to our real business needs, with time saved, automations, and performance gains for the organisation.”
Nicole Neumann

Nicole Neumann

Head of Innovation · Gepromed

The install

How we install your OS

Three moves, tied to the three phases of the programme. No big bang: the OS goes up layer by layer, department by department.

011 to 2 weeks

We map your processes

Interviews with your teams, a map of the workflows, a maturity score. You know where the OS starts for you: with the shortest-ROI use cases.

Phase 1: AI Scan

023 to 6 months

We build your systems and agents

A dedicated engineer builds, department by department. Every system ships to production with a KPI measured before and after.

Phase 2: AI Engine

03Ongoing, from month 3

We train your teams to run the OS

Your teams take the wheel: they run, fix and extend the systems. The OS stays with you, with the people who know how to drive it.

Phase 3: AI Champions

We run on it ourselves

It’s our own OS.

AI Makers runs on the system we install for you: same layers, same agents, same dashboards. We simply duplicate the one we run on ourselves.

+200

AI systems deployed

10 people

the output of a team of 60

FAQ

Frequently asked questions about the AI Operating System

Who owns the OS once it’s installed?

You do, in full. The systems, the agents, the documented playbooks: all of it stays with you the day the engagement ends. Zero dependency — it’s written into the contract.

How long does it take to install?

The audit takes 1 to 2 weeks and sets the roadmap. The first systems ship to production from the first month, at 1 to 2 a month. At 6 months, your teams run the OS on their own.

Does it replace our current tools?

No. Your CRM, your ERP, your drives and your inboxes stay in place: the OS connects to them and makes the work flow between them.

We already have automations. Do we start from scratch?

No. We audit them, keep what works, and fold it into the OS. What you’ve already built becomes a component of the system.

Your competitors buy tools. Install a system.

30 minutes to map your processes and leave with your first 3 AI quick wins, whether you work with us or not.

At most 3 new clients a month. Every client gets a dedicated AI engineer, onboarded two weeks before kick-off. Our capacity is physically limited, not artificially.

“AI Makers made GEO understandable and usable for our business teams. Their ability to quickly grasp the business stakes and turn technical subjects into actionable recommendations clearly made the difference. A serious partner, and a genuine teacher.”
Mickaël MinaMickaël Mina · Directeur IA · Sage

9.6/10 average satisfaction · 100% would recommend

Schneider ElectricGepromedAmgenSageDélifranceAS MonacoEmirates NBDGroupe PartoucheEmpruntisAstraNICEIFAThinkONEESN Engit
Osez l'IA AmbassadorAnthropic Partner

Partnerships, certifications and a stack we know

AY AutomateAY AutomateClaude Certified ArchitectClaude Certified Architectn8n Certified Expertn8n Certified Expert
ClaudeClaudeOpenAIOpenAIGeminiGeminiNotionNotionMicrosoft CopilotMicrosoft CopilotLangChainLangChainMakeMakeGoogleGoogleAWSAWSAzureAzureClayClay