Dockia Blog
AI consulting in Spain: moving from pilot to production with real impact
2026-02-16 • 8 min
Practical playbook for companies scaling AI with governance, integrations, and business KPIs.
70% of AI projects in Spanish companies stay in pilot phase because production architecture wasn't designed from the start — overcoming this requires a different approach from day one.
- •Design production architecture from sprint 0: data schema, integrations, monitoring, and rollback — not just the AI model.
- •Define production KPIs before launching the pilot: without prior business metrics, it's impossible to justify scaling.
- •Model governance (who approves changes, how automatic decisions are audited, what happens if the model fails) must be resolved before real deployment.
Case Study
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FAQ
Why do so many AI projects fail at the production phase in Spain?
The most common causes are: data not structured for production, no model monitoring, lack of integration with core systems, and no governance process to manage automated decisions with real business impact.
How long does it take to bring an AI pilot to production in a Spanish company?
With solid architecture and accessible data, between 8 and 16 weeks. Without these prerequisites, the timeline can double and project abandonment risk increases exponentially.
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