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The choice between hosted and open-source models is rarely ideological.

Hosted models can reduce time to market and operational burden. Open-source models can offer more control over deployment, data handling, customization and unit economics at scale. The right decision depends on workload, risk, latency, volume and the engineering capacity available to operate the system.

How are teams here making this decision for production applications?

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For document automation, extraction accuracy is only one part of the result.

A production workflow also needs document classification, validation rules, confidence thresholds, exception handling, source references and a review interface. Without those components, a strong model can still create expensive operational errors.

This is one of the areas covered by our team at AI Development Services. How do you define the threshold between automatic processing and human review?

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