MAISON ORDO
ORDO METHOD · DISCERNMENT · CONTROL · IMPACT

A HOUSE FOR AI — FROM STRATEGY TO DAILY PRACTICE.

Maison Ordo

AI consulting for companies — from strategy to daily practice

Maison Ordo is an AI consultancy for small and mid-sized companies. We assess where AI pays off in your business — and where it doesn't — build the assistants and automations ourselves, connect them to the systems you already run, and stay until your team uses them every day. Every step is tested on your own cases. Nothing goes live without your approval.

Services

The rule of the house

Nothing goes live without your approval. Every assistant, agent and automation is tested on your own cases first. You decide what is released — and you can see where AI is speaking.

In practice this means three things. First, you see how a solution performs on real examples from your company before anyone relies on it. Second, release is a decision on your side, made at points we write down together. Third, wherever AI talks to your team or your customers, it is marked as AI.

One centre, four chambers — our services

Maison Ordo is AI consulting from strategy to daily practice. Begin at the centre, or enter the chamber you need. You can start in any chamber; if you do not know where, start in the middle.

  • AI strategy (ORDO): where AI pays off in your company and where it does not, the rules that apply, and a roadmap.
  • AI implementation (FABRICA): data, integrations, access rights and privacy, connected to the programs you already use.
  • AI agents and assistants (OPUS): the applications that do the work, tested on your own cases.
  • AI in customer service and in the team (FORMA): the interfaces and assistants where people meet the AI.
  • AI adoption and training (ACTUS): training, rules, owners and measurement, so that AI is used every day.

Why AI projects stall — and what we do about it

Many AI trials never reach daily work. A report by MIT's Project NANDA (July 2025), as reported by Virtualization Review, states that just 5% of integrated AI pilots were extracting millions in value, while the vast majority remained stuck with no measurable profit-and-loss impact. The report is based on a limited number of projects and interviews, not on a representative survey, so we read it as a warning rather than as a statistic about your industry.

In 2024 Gartner predicted that at least 30% of generative AI projects would be abandoned after proof of concept by the end of 2025, naming poor data quality, inadequate risk controls, escalating costs and unclear business value as causes.

We draw four lessons from this and give each one a place in the house. A pilot without a path into operation: ORDO fixes, before anything is built, how "it works in daily practice" will be measured. Data and risk not under control: FABRICA deals with them in the foundation. Nobody uses it: FORMA makes the surface usable and trustworthy, and ACTUS embeds the solution with training, rules and owners. Unclear benefit: ACTUS measures against a starting value taken beforehand.

How we work

We build ourselves instead of reselling licences. We adopt and adapt what already exists — open building blocks, patterns, templates — and note the licence of every block in the documentation we hand over. We use paid third-party tools only if you ask for them. We also tell you when AI does not pay off for a given task, and we hand over in a way that lets you continue without us. Operation after the hand-over can be booked for a limited period; there is no open-ended contract.

Frequently asked questions

What does AI consulting cost?

The first call (30 minutes, by video) is free. The entry point is the assessment at a fixed price that we name in writing before you start. Details are on the page about process and pricing.

Do we have to train our employees?

Article 4 of the EU AI Act asks providers and deployers of AI systems to take measures to support the AI literacy of their staff. It does not require a specific level for each person. Our guide explains the wording.

Do we need an AI policy?

A written policy answers what your team may do with AI, which data may go into which tool and who approves. It is the basis for training. Our guide lists what belongs in it. It is not legal advice.

Do you work with our existing programs?

Connecting AI to the systems you already run is the task of FABRICA. Which connections make sense is clarified in the assessment, on the basis of your own cases.

Read more

Sources

  1. MIT Project NANDA, "The GenAI Divide: State of AI in Business 2025" (July 2025), as reported by Virtualization Review, 19 August 2025. Original PDF not read; the report is not a representative survey. — https://virtualizationreview.com/articles/2025/08/19/mit-report-finds-most-ai-business-investments-fail-reveals-genai-divide.aspx (As of 2026-10-08)
  2. Gartner prediction (press release of 29 July 2024), as reported by Intelligent CIO Europe, 5 August 2024. Gartner's own page refused retrieval. — https://www.intelligentcio.com/eu/2024/08/05/gartner-predicts-30-of-generative-ai-projects-will-be-abandoned-after-proof-of-concept-by-end-of-2025/ (As of 2026-10-08)

As of 2026-10-08

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