What specific problems should be addressed as a priority with AI in the next 12–24 months, and where should we start without spreading ourselves too thin?
Our approach
We identify uses that showcase expertise, we put them in competition with each other (no need to reinvent the wheel), we formulate value hypotheses, and then we design the first AI product cycles to be launched.
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Structured collection of business irritants and unique expertise
We collect, analyze, and structure business pain points and key expertise to transform experience into concrete drivers of innovation.
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Formulation of AI value assumptions per problem (gains, risks, available data)
Each issue is transformed into AI value hypotheses, prioritized according to gains, risks, and available data.
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Impact assessment, feasibility, and learning curve
Each avenue is analyzed according to its impact, feasibility, and speed of learning in order to build a realistic and effective project trajectory.
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Selection of a few priority bets, each accompanied by the initial work to be launched (format, duration, success criteria)
We select a limited number of priority bets and define a clear launch framework for each one: format, duration, success indicators, and initial deliverables.
Why will you love it?
Clarity, prioritization, action: we help you identify the right AI use cases and quickly launch high-impact projects.
Strategic advice focused on practical application.
Not a theoretical study.
Clarification
Our approach helps clarify your challenges and define their priority AI
Gisements de valeur
Together, we categorize the drivers of performance, robustness, and new services.
Security
ROI, feasibility, risks, data: we provide a 360° view of technological challenges
AI Roadmap
Our support enables you to align with your corporate strategy.
Apply our proven methods to design high-performance products
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Blacksmiths
Products Manager, Data Engineering, Artificial Intelligence
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Commitment to your Product
