AIMakers
Enterprise Data Platform

Your data is worth a fortune. You just have to wire it up.

An enterprise data platform unifies your siloed systems (ERP, production, sales) on a single foundation built in three layers — Bronze, Silver and Gold — then wires AI reporting and steering agents on top. The result: one version of every number, reporting that runs itself, and decisions you anticipate instead of absorb. No IT department required, and you own all of it.

+50

companies supported

+200

systems in production

9.6/10

satisfaction

Up to dateAgent live

Daily steering

Consolidated sales

Today’s output

Cash position

Generated automatically, every morning.

The reporting that runs itself, wired into your systems.

Trusted by

Teams trained and systems running in production at more than 50 companies, from large groups to small businesses.

At a glance

Your silos, wired into one foundation

Your separate systems pour their data into a single foundation built in three layers — Bronze, Silver, Gold. Your agents read the Gold layer and steer in real time.

Productionsiloed
ERPsiloed
Salessiloed
BronzeRaw data, centralised
SilverCleaned and joined
GoldReady to decide on
Your reporting and steering agents read the Gold layer, in real time
The path

From your silos to data that decides

Four steps, each with a usable deliverable. The platform produces value before it is finished.

01

Source mapping

We inventory your systems: ERP, production, sales, Excel files. Who produces which data, where it sleeps, who needs it.

02

Ingestion and the Bronze layer

Raw data from every system converges automatically into one foundation, with quality tests. No more manual exports.

03

Silver and Gold layers

Cleansing, unified reference data, business models: the data becomes reliable, joinable and ready to decide on.

04

AI agents and dashboards

Reporting agents prioritised in workshops with your teams: daily tracking, consolidations, alerts. The data comes to you.

On the ground

What it looks like in practice

Engagement in progress

A Moroccan leader in agri-export: 4,500 employees, 20 years of data, 3 systems that didn’t talk to each other.

Financial ERP, agricultural production software, packing-station system: no consolidated view, sales tracked in Google Sheets, decisions absorbed rather than anticipated. We are building its enterprise data platform and its reporting agents: the Bronze layer and automated ingestion shipped ahead of schedule, and 15 business agents were prioritised in workshops with the farm teams themselves.

Full case study in client validation.

The deliverables

What you are left holding

  • A sovereign data platform, hosted wherever you decide.
  • Automated ingestion of your source systems, with quality tests.
  • Unified business reference data: no more three versions of the same number.
  • AI reporting agents prioritised by your teams, shipped in waves.
  • Steering dashboards wired to the cleansed data.
  • Full ownership: infrastructure, pipelines, agents, documentation.
What comes next

The foundation under every one of your AI agents

A data platform is not an end in itself: it is the foundation that makes AI agents reliable. Once the data is unified, every new use case (reporting, forecasting, alerting, business copilots) gets built in weeks, not months.

That is why the platform sits inside our full engagement: an audit to prioritise, a dedicated engineer to build, weekly training to make your teams independent.

FAQ

Frequently asked questions about data & AI platforms

Do you need an IT department to build a data platform?

No. One IT contact on your side plus workshops with the business teams is enough: we carry the architecture, the build and the operation. We currently work with a 4,500-person group that has no IT department and does not want one. The platform is designed to be run by the business, not by an IT service.

Our data is scattered and low-quality — is that a blocker?

It is the starting point of nearly every engagement: systems that do not talk to each other, manual Excel exports, inconsistent reference data. The Bronze layer ingests the data as it is, then the Silver and Gold layers clean and harden it step by step, with automated quality tests. We do not ask you for clean data — we hand it back to you clean.

What tools do you use?

Proven building blocks with no hidden licence cost: PostgreSQL for storage, Docker for infrastructure, Airflow to orchestrate the flows, Power BI or equivalent for dashboards, and AI agents (Claude, n8n) for automated reporting. It all plugs into your existing systems: ERP, production tools, CRM. Nothing is migrated, nothing is replaced.

How long before a first usable layer?

On our most recent engagement of this kind, the ingestion and Bronze layers shipped in a few weeks, ahead of schedule. Reporting agents follow in waves, each validated by the business teams at its milestone. You do not pay for 18 months of data project before seeing a first result.

Who owns the platform?

You do, entirely: the infrastructure, the pipeline code, the agents, the documentation. It is the same full-ownership rule as on all our engagements. The day the collaboration ends, everything keeps running at your company.

Your systems don’t talk to each other?

30 minutes to map your data sources and pin down the first high-ROI reporting agent to build.

“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

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