Are your teams better at what they do, or just faster? Until that's clear, every euro spent on AI is a bet, not a trajectory.
Why an AI trajectory?
95% of AI projects show no measurable impact, because their use cases aren't tied to the business. The tech depends on decisions made outside Europe, and know-how erodes. Being sovereign over your servers isn't enough: the real cost is autonomy.
The shortest path to your target, without losing anything along the way. The stronger your know-how, the stronger you are.
Reach the target
Every use case brings you closer to your target vision. No random POCs.
Grow along the way
Your teams build AI skills: autonomy grows and dependency shrinks.
Protect what matters
Your teams' know-how, strengthened, never eroded.
Govern & secure
You take part in go/no-go decisions, and in setting the roadmap's goals and metrics. GDPR and the AI Act are monitored, along with code security and vulnerabilities.
The platform
Three pillars to stay in control of AI, with continuous oversight to secure the trajectory.
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Map: modeling reality
Business modeled: vision, offerings, roles, qualified know-how, pain points. IT and data assessed, use cases evaluated and prioritized.
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Forge: assisted implementation
Agents that support your teams: scoping, development, deployment, user feedback. Every use case tracked through to impact: usage, value, ROI.
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Steer: trust and compliance
Continuous risk monitoring: know-how, cyber, data, compliance, dependencies. FinOps tracking for agents: tokens and cloud costs, use case by use case.
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
