I helped €200M+ organizations make AI an operational reality. From scoping to deployment, working alongside your teams.
Successful AI transformations are 70% an organizational shift, and 30% a technical project. Inverting that ratio is the #1 cause of at-scale failure.
AI transformation of the contact center for a 30,000-unit residential portfolio. Designed and shipped a production AI system that qualifies, routes and resolves tenant requests — deployed across the full portfolio, within the operational and regulatory constraints of a real estate operator.
Engagement performed at Home Partners of America, a Blackstone subsidiary, 2022 – 2023. Public data, informed stakeholders, within applicable confidentiality agreements.
An engagement delivered with ClairAI: a concrete need, and a tool used in practice by a non-technical team.
European Commission · European Citizens’ Panels
For the European Citizens’ Panels run on behalf of the European Commission, supporting the Missions Publiques team that facilitates them: auditing, architecture, code review and a development method for its multilingual deliberation app that the team can keep using.
European Commission · 150 citizens · 24 languages · 3 months of support
Read the ECP Companion case on ClairAI ↗Three bounded formats, calibrated for €200M+ organizations, designed to ship to production — not POCs.
Organizations sitting on 5–15 AI POCs, few of which reach production.
Portfolio diagnostic + 3–6 month production roadmap.
Groups using or planning AI in HR, scoring, biometrics or infrastructure.
Inventory, Annex III classification, operational compliance plan.
Functions transforming a high-volume support/ops spine.
Design + launch of a production AI system, scoped and measured.
Every engagement starts with a 5 – 7 day operational framing.
I train teams to use AI on their own work: preparing a proposal, writing meeting notes, finding information or automating a task. Exercises fit each role and experience level.
Before the session, we choose the tasks, the documents that can be used and the expected results.
Your team learns to provide context, compare answers with source material and spot invented information.
Your team keeps the materials, examples and checklists. Time saved is measured including review and corrections.
One workshop or several sessions. Programme, duration, fixed price and tools agreed before we start.
I built my practice alternating between product, applied ML and operational leadership — always on high-volume systems, where the org/tech ratio decides success.
Pick a time in my calendar to discuss your project, your questions or a potential collaboration.
Prefer to email me?
nicolas@clairai.fr ↗Calendar not showing? Open my calendar