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Advancing AI in PROVYS Sphere

Renata Chytkova; Iñaki Zvarazadi de Medios Públicos; Mariano Cuerda, de OM Systems; Karim Avila y Sergio Amuchastegui de Provys

PROVYS team made a commitment last year to focus their development on strategic priorities that bring the most value with Artificial Intelligence (AI) and API support at the forefront. ‘We kept our word and are delivering significant advancements in both areas’.

Two major AI capabilities

In-place LLM-based AI Assistant is fully integrated into PROVYS Sphere. This assistant works directly inside your existing workflows to:

– boost productivity by automating routine tasks,

– support faster and smarter decision-making,

– adapt to your unique operational needs.

This is just the beginning, the assistant learns and evolves to make the PROVYS experience more powerful over time. 

Sergio Amuchástegui and Mariana Santonini from Provys, Mariano Cuerda and Grabriel Sfara from OM Systems with Martín Rubino from TyC Sports at IBC 2025

Generic Agent-based AI Assistant is built on top of PROVYS Sphere’s open API. The assistant uses LLM agents, vector databases, and Internet search capabilities to provide instant access to all your PROVYS Sphere data and functions. 

– Ask any question about your content, plans, history, sales, rights, or production, and you will immediately get accurate answers.

– Eliminate the need for static reports or analyst mediation.

– Keep your work focused on objectives with the right information at your fingertips.

Expanding API Capabilities

‘We have also delivered a comprehensive, RESTful API bridge across the full PROVYS Sphere data model, supporting both CRUD operations and system method calls’.

Key advantages 

– Custom Applications — build tailored tools on top of PROVYS Sphere.

– Seamless Integrations — connect PROVYS data and functions with other business systems.

– Enhanced Workflows — combine multiple systems into a unified end-user experience.

– Developer Tools — PROVYS API Browser helps you explore entities, test live queries, and generate ready-to-use code samples before implementation.

Use it when you need it most

– Integrated schedule dashboards pulling live transmission data into custom views.

– Automated content rights validation workflows.

– Multi-system production tracking with data consolidated from PROVYS and third-party platforms.

What´s next

We are convinced AI may significantly contribute to the business in several ways — be faster, be better informed, connect the databases, answer original questions.  

Do you feel like it can be helpful in your company but you still hesitate? Would you like to share your ideas and opinions? If you already have been an advanced AI user, let´s get into discussion what to use, when, and how to connect the systems.  

Sergio Amuchastegui
PROVYS Technologies Latam & Caribbean Region Manager

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