Sberbank to integrate GigaChat Enterprise with 1C and Bitrix

Sberbank is launching an integration of GigaChat Enterprise with 1C and Bitrix through a system of connectors. Companies will be invited to co-develop narrowly specialized models for their own industries. This would give thousands of Russian companies access to corporate AI without rewriting their existing systems.

AI-processed from CNews AI; edited by Hamidun News
Sberbank to integrate GigaChat Enterprise with 1C and Bitrix
Source: CNews AI. Collage: Hamidun News.
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Key metric #1Models are trained on real data from each industry
Key metric #2Development is joint, so costs are split among several parties
Key metric #3The result stays within the Sberbank and GigaChat ecosystem

Sberbank is looking for partners to build connectors that will link its corporate platform GigaChat Enterprise to 1C and Bitrix. That means companies will be able to use AI directly inside the systems they already know, without integrator work.

Why it matters

1C and Bitrix are installed on millions of workstations in Russia. If Sberbank builds GigaChat Enterprise directly into them, tens of thousands of companies, from retail to manufacturing, will get corporate AI. Today, connecting AI requires developers. Connectors would make it as simple as installing a plugin.

Co-developing models

The second part of the initiative is to invite companies from different industries to jointly develop narrowly specialized models. For example, banks would write their own version of AI for risk analysis, medical clinics for image processing, and logistics firms for routing.

  • Models are trained on real data from each industry
  • Development is joint, so costs are split among several parties
  • The result stays within the Sberbank and GigaChat ecosystem

The race for integration

Openness to integrations is the standard in the global AI market. OpenAI embeds ChatGPT in Excel, Slack and Gmail. Microsoft does the same with Copilot. Sberbank needs to move in the same direction if it wants to stay competitive in the corporate market.

"Connectors" are not a new product; they extend GigaChat Enterprise into systems that already work.

Without integrations, AI stays in a separate browser tab. With them, it becomes a tool for everyday work.

What this means

It signals that Sberbank takes its position in the AI race seriously and is ready to build an ecosystem rather than just release yet another chatbot. If the connectors arrive quickly, Russian companies will gain a competitive advantage over those waiting for OpenAI integration in 1C.

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Key Questions Answered

Why it matters?

1C and Bitrix are installed on millions of workstations in Russia. If Sberbank builds GigaChat Enterprise directly into them, tens of thousands of companies, from retail to manufacturing, will get corporate AI. Today, connecting AI requires developers. Connectors would make it as simple as installing a plugin.

What are the key details on Co-developing models?

The second part of the initiative is to invite companies from different industries to jointly develop narrowly specialized models. For example, banks would write their own version of AI for risk analysis, medical clinics for image processing, and logistics firms for routing. Models are trained on real data from each industry Development is joint, so costs are split among several parties The result stays within the Sberbank and GigaChat ecosystem

What are the key details on The race for integration?

Openness to integrations is the standard in the global AI market. OpenAI embeds ChatGPT in Excel, Slack and Gmail. Microsoft does the same with Copilot. Sberbank needs to move in the same direction if it wants to stay competitive in the corporate market. "Connectors" are not a new product; they extend GigaChat Enterprise into systems that already work. Without integrations, AI stays in a separate browser tab. With them, it becomes a tool for everyday work.

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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