, the tech, data & AI practice
Experience to the power of AI
From data strategy to generative AI deployed in production: deliverables that live on beyond the mission (dashboards, supervised agents, tooled processes), under human control at every step.
Where does our margin by offer stand this quarter?
Consolidated margin up 1.8 points, driven by two offers. The breakdown by offer and by month is ready, and three billing anomalies are flagged for review. Every figure is sourced; the export goes to Thursday’s committee.
Answer in seconds · internal data only
Illustrative examples. Every deployment answers your own questions, on your own data.
The tool palette
Anthropic · Claude OpenAI · GPT Mistral AI Google · Gemini Microsoft · Copilot n8n Make Zapier Lovable Bolt v0 · Vercel Cursor LangChain Hugging Face Snowflake Power BI … and those to come
In practice
What AI changes in your day-to-day
A few telling examples. Every mission starts from your real processes, not from a catalogue.
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Executive management
Query the business in natural language and get the answer in seconds, without waiting for the next report.
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Operations
Automate repetitive tasks (data entry, checks, reconciliations) so teams can focus on what matters.
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Sales & marketing
Proposals, meeting notes, follow-ups: produced in minutes, personalised, in your brand’s voice.
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Finance
Faster reporting, anomalies flagged automatically, closings that no longer mobilise the whole department.
Our offers
Five offers, from audit to adoption
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AI audit & roadmap
We meet your teams, function by function, to map the use cases, then classify and prioritise them by impact, complexity and risk: quick wins straight away, and a roadmap.
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Custom development
Agents, automations, business platforms: we build what the market does not offer, integrated with your tools and IT. A useful prototype within weeks, then production, supervised and traceable.
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Data & governance
Reliable, documented, governed data: the foundation of everything else. We put it right when needed, and that is often where value begins.
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Adoption & change management
AI champions in the teams, governance of usage, adoption measured, the executive committee supported: we stay until the new habits take hold.
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Training & seminars
From a talk to an executive seminar, programmes built with your teams, on your use cases: details just below.
Training
Training built with your teams
Before each programme, our trainers talk with your teams: your vocabulary, your use cases, your objectives. Every session relies on hands-on exercises, leaves ready-to-use tools behind and ends with an assessment.
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Talk
Understanding AI: where it comes from, what it changes in each role, what it cannot yet do. Interactive, with questions from the floor.
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Introduction
Getting to grips with generative AI tools and bringing them into daily work: writing, summarising, analysing, safely.
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Role-specific advanced training
Going further on each role’s use cases, with a library of ready-to-use prompts and methods.
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Executive coaching
For the executive committee: understanding the stakes, deciding where to invest, leading the transformation with the teams.
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Executive seminar
Setting the company’s AI course, choosing the first projects and the governance to carry them.
By sector
AI, sector by sector
Every sector has its constraints: sensitive data, regulation, field realities. A few typical uses.
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Financial services & insurance
File analysis, compliance checks, reconciliations, customer replies: faster, and always verified.
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Public sector & local government
Letters, minutes, processing of requests, with strict requirements on data confidentiality and security.
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Construction & real estate
Fleet management, quotes, site monitoring, maintenance: field work equipped, as in our platform for construction.
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Industry & energy
Maintenance, quality, technical documentation, planning: the teams’ expertise better shared.
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Retail, luxury & fashion
Product content, customer relations, creative studios: producing more without losing the brand’s voice.
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Healthcare & life sciences
Documentation, regulatory work, team organisation, with systematic human review.
In the field
A business application for construction, built with AI
For a construction equipment rental company, designed a SaaS platform that brings together orders, machine transfers, invoicing and maintenance, with built-in AI to assist the teams. AI also greatly accelerated its rollout.
We ran the project end to end, from strategy all the way to the tool’s adoption by the teams in the field.
How the engagement unfolded
- Strategy
- Scoping
- Design
- Rollout
- Adoption & support
Our method
From idea to result, in four steps
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Audit & framing
Your processes, your data, your priorities: we identify the highest-value use cases, and rule out the gimmicks.
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Proof of value
A useful prototype within weeks, tested by your teams on real cases. Only what proves itself moves forward.
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Production
Integration into your tools, supervision, traceability: AI goes from demo to daily routine.
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Adoption & autonomy
Team training, skills transfer: the system lives and improves without us.
Responsible AI
AI is not yet aware of the consequences of what it produces. That critical distance is what we bring.
As long as the superintelligence some predict remains a hypothesis, strategy, project management and change management will need consultants, augmented by everything AI makes possible.
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AI suggests, humans decide
Every decision that commits you is carried by a consultant, never by a model.
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Verified before it is signed
We only stand behind what we can justify: every figure, every recommendation, checked before signature.
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Permanent supervision
Agents and automations operate under human control, with traceability.
Frequently asked
What clients ask us
Where should we start: training or an audit?
Both work. Training brings your teams on board straight away and surfaces the first use cases; an audit gives a full picture before investing. Often a talk or an executive seminar opens the way, then the audit shapes role-specific training.
Do we need perfect data first?
No. Making the data reliable is part of the mission when needed. It is often the first step, and it creates value in itself.
Which tools do you use?
The ones that serve your challenge. We are agnostic: market models and platforms (ChatGPT, Claude, Mistral, Copilot…), open-source solutions or tools you already own. The choice is driven by your cost, security and sovereignty constraints.
Let’s talk
A data or AI challenge?
Let’s talk about your use cases, and what they can produce in real conditions.