Why a business may need more than one AI

The question is no longer which AI

Models evolve quickly, and each excels at different tasks. A mature strategy avoids locking the whole business into one provider and creates a layer that selects, combines and oversees the available capabilities.

Orchestration keeps the experience consistent while directing each task to the right model, data and controls.

Orchestrating several models in a business

<p>Orchestration means the system, not the user, chooses the model each time: each task is matched with the model best suited to it and the cost the business accepts. Reading a supplier invoice from a photo calls for a model with vision and strong data extraction; drafting a sales email calls for fluent Spanish; classifying 500 bank transactions calls for speed and low cost, not brilliance.</p><p>In <a href="/inteligencia-artificial">Regifactu's artificial intelligence</a>, the choice is made in advance for each task and can be changed independently: if a provider launches a better or…

Control over spending and data

<p>When discussing AI, any business leader has two concerns: how much it will cost and which data will leave the business. Proper orchestration addresses both. Spending is set by month and task, and every conversation is logged with its cost, so you can see which processes are worthwhile. Each model sees only the data needed for its task: reading an invoice does not require customer history.</p><p>To get started, choose a measurable process, such as <a href="/blog/registrar-facturas-de-proveedor-con-una-foto/">logging supplier invoices from a photo</a>, measure how long it takes today and…