It’s Time to Orchestrate AI Industrialization
Following our op-ed in Maddyness: “Startup, corporate, State: it’s time to orchestrate industrialization.”
Generative AI no longer needs to be proven. It needs to be industrialized.
After months of PoCs, promising pilots, and business tests, one reality is clear: everyone’s tired.
- Business teams are tired of use cases that never land.
- Tech teams are tired of hacking disposable prototypes.
- Startups are tired of endless pre-sales that never scale.
What’s missing?
A robust, scalable, interoperable orchestration layer—the layer that lets you operate AI in the real world: govern it, secure it, monitor it, version it, and keep it running in production.
That layer exists. It’s live today across major enterprises—including CAC 40 companies—and it’s called Prisme.ai.
From silos to a shared backbone
It’s time to get out of isolated experiments and co-build France’s industrial AI backbone—together: startups, large enterprises, and public actors. Not more demos; more deployments that are portable, auditable, and easy to maintain.
A 5-step playbook to move now
- Name your orchestration layer as a product (not a project).
- Make portability and reversibility non-negotiable (containers, exit paths, multi-LLM).
- Go interoperability-first (open APIs/observability/data governance integration).
- Shift governance to production KPIs
- Create a “from PoC to prod” career path to keep talent engaged.
Bottom line: AI’s value shows up after the demo—when it’s orchestrated, governed, and scaled in production.
Don't miss out the article on Maddyness, here is the link : Startup, corporate, État : il est temps d’orchestrer l’industrialisation
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