Tried AI… without results?
Not sure where to start to get something useful out of it?
That’s normal: out of the box, these tools often give generic, disappointing answers.
We make them work for your projects, with measurable results within the first weeks.
Explore, test and integrate generative AI into your innovation and design processes.
Concrete, step by step, measurable.
Our services
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Generative AI Deployment
Bring generative AI into your organization with a structured, secure and well-adopted rollout.
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AI Integration in Development
Embed AI into your product development process to explore faster and validate earlier.
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Generative Development Mandate
A development mandate delivered with generative AI, from concept to validated prototype.
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Training on Your AI Tool
Hands-on training on the LLM already in place in your organization, applied to your own work cases.
Generative AI Deployment in Your Organization
From governance to everyday practice in your teams.
A complete journey to take generative AI from an available tool to an established practice. Usage guidelines, team engagement, training, pilot project, rollout and ROI measurement. The goal is not the tool, but how it takes root in your teams’ daily work.
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AI maturity assessment
Governance framework: usage guidelines, confidentiality, sensitive data
Team training
Mapping of internal processes
Identification and prioritization of high-potential use cases
Pilot project on a concrete case, with success criteria defined up front
Gradual rollout and impact measurement
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A clear view of your organization’s AI maturity level
A governance framework validated by management
A first use case demonstrated and measured
Teams trained and autonomous on the deployed uses
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Leadership and management teams that want to structure AI adoption beyond isolated initiatives.
AI Integration in Your Development Process
Explore faster, validate earlier, decide with confidence.
Strategic and tactical support to explore, test and integrate AI into your innovation and product development processes, with your team. Concrete, progressive, measurable.
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Mapping of your current development process
Identification of the steps where AI brings real gains: market watch, voice of the customer, benchmarking, ideation, specifications
Set-up of tools and methods on the selected steps
Tests on a project in progress, with the team involved
Adjustments based on observed results
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Market scanning and weak-signal detection
Voice-of-the-customer analysis from online sources
Structured competitive benchmarking
Patent search and technology watch
Assisted ideation and concept exploration
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Measurably faster steps in your process
A team that masters the uses put in place
A foundation to extend to other stages of development
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R&D, product development and innovation teams with an established process they want to accelerate.
Generative Development Mandate
From idea to product, with your team.
We start from an idea, a market or a segment to explore, and lead the project through to the product with your existing team. At the end, you have the product and a team able to repeat the approach on its own.
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Opportunity framing: target market, segment, hypotheses to validate
Augmented discovery: market watch, voice of the customer, competitive analysis
Definition: customer journey, problem framing, prioritization
Development: concept exploration, technical validation, preliminary BOM
Delivery: specifications, test plan, launch material
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Studio Augmenté works inside your team, not beside it
Every phase is augmented by generative AI, without losing business judgment
Method transfer happens during the mandate
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A validated product or concept, ready for the next step
A team that has practised the full approach
A reusable method for your next projects
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Companies with an idea or a market to explore and a small team to do it.
Training on Your AI Tool
Your people, your work cases, your tool.
Hands-on training on the LLM already in place in your organization (Copilot, Claude, ChatGPT, Gemini), applied to your own work cases rather than generic examples. A one-off workshop or a series of sessions, depending on your priorities.
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Understand what the tool does well, and where it fails
Build prompts that produce usable results
Work on cases drawn from participants’ daily work
Spot high-yield uses for each function
Manage the risks: confidentiality, validation, sensitive data
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A series of hands-on sessions by team or by function
In person or virtual
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Participants able to use the tool on their real work by the end of the session
A shared understanding of the limits and precautions
First uses identified by the teams themselves
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Organizations that have already deployed an LLM and see uneven or superficial adoption.