When customers and teams see two realities
How to spot hidden friction between customer experience and internal work before launching a large transformation.
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August 2026 articles
A date-based view for reviewing content published on the Codefuente blog.
From conference to Monday: less talk, more work
Good conference ideas matter only if they change Monday: priorities, handoffs, measures and real operational decisions.
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Do not automate the first bottleneck
Automating the first visible bottleneck can lock in a bad process. Know when to slow down, inspect, and fix before digitizing.
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When customer service depends on the warehouse
A delayed order is often a coordination problem. Here is how to measure it and decide who owns the exception.
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Avilés and the lesson of lower-friction operations
A practical reading of Avilés as an industrial ecosystem: the value is not faster growth, but better coordination.
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ERP and ecommerce: when to split systems
Splitting ERP and ecommerce can reduce operational errors. The real decision is who owns exceptions when something breaks.
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Avilés Industry Congress: change starts on Monday
With the 2027 National Industry Congress coming to Avilés, a practical case on turning innovation ideas into one concrete improvement for an SME.
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RAG for internal knowledge: the project fails not because of AI, but because it searches badly
A useful RAG starts with governance, source selection and failure modes, not with the model. The real question is what internal knowledge should be retrievable and under which rules.
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Backup is not continuity: why many companies discover the difference too late
Having copies is not enough when the real challenge is restoring operations, not just data. A practical guide for leaders who want to reduce downtime and avoid improvisation after an incident.
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API integrations: the mistake is not connecting systems, it is failing to define the operating contract
Many API integrations fail not because of technology, but because no one agreed on which system is in charge, what happens when errors occur, and how data quality is measured. This article offers a practical decision framework before coding.
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