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IA con trazabilidad: cómo saber de dónde sale cada dato
Qué es la trazabilidad en un sistema de IA, seis mecanismos explicados para dirección y qué exige el Reglamento europeo de IA en registro y supervisión humana.
Software and AI that work with your company’s real knowledge.
We design, build and run systems for processes heavy in documents and decisions. Every data point traced to its source. The final decision stays with your team.
Where it starts
When the work grows faster than the team.
Knowledge sits with a few people.
Criteria and precedents live in folders, email and a few people’s memory.
Expensive people do repetitive work.
Searching for and redoing existing work takes their best hours.
Decisions leave no trail.
Months later, nobody knows what was assessed or why.
What we do
Custom systems for processes that eat hours of expert work.
- 01
Custom AI platforms
A whole process on one platform, with your data and agents that prepare the work.
Result
More volume with the same team.
- 02
Custom software and integration
Internal tools and connections between the systems you already use.
Result
Each piece of data entered once.
- 03
Operation and evolution
Every system in production, with support, AI cost control and improvements.
Result
A system that improves with use.
How the AI works
Four rules in every system.
Nothing made up.
Missing data is flagged as pending.
Every data point has a source.
Each statement links to its document.
Your team decides.
The system prepares. Your team validates and signs.
Your data, under your control.
Deployed in your cloud if needed, with permissions and an activity log.
Insights
What we have learned building AI systems.
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Por qué tantos pilotos de IA no llegan a producción
Siete causas por las que los pilotos de IA se quedan en pruebas, una lista de comprobación y cinco pasos para diseñar un piloto acotado y decidir con datos.
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Software a medida o SaaS: cómo decidir con criterios de negocio
Criterios para elegir entre SaaS, software a medida o modelo híbrido: coste total, diferenciación, integración, dependencia del proveedor y plazo de resultados.
FAQ
What clients usually ask before we start.
Which processes are worth automating with AI?
Those that repeat, handle a lot of documents and rely on expert judgement. For example, proposals, file reviews or technical reports. With low volume, another solution is usually better.
Where does our data live?
When the project calls for it, the system is deployed in your company’s cloud, with permissions and an activity log. Your company decides what goes in and who has access.
Does AI replace our team?
No. The system searches, sorts and prepares drafts. Your team reviews, decides and signs.
How does a project start?
With a conversation about the process and the scope in writing. Many projects continue with a pilot of about 6 weeks on real cases.
Next step
Tell us which process costs you the most.
A first conversation shows whether there is a case for a pilot.