Over the years, companies accumulate an enormous amount of knowledge. Yet much of it remains hidden in documents, tickets, and the memories of experienced engineers. Finding the right information when it’s needed can be difficult and time-consuming.

Payment projects require teams to work with thousands of pages of documentation, implementation guides, message formats, specifications, support history, and project knowledge. Engineers investigate incidents, analysts review requirements, consultants answer repetitive customer questions, and architects become the go-to people whenever someone needs to understand how a particular mechanism works. Together, they consume hundreds of hours across every implementation.

To eliminate this bottleneck, we’ve introduced an AI assistant built on top of our internal knowledge base.

Instead of searching through documentation or waiting for an expert to become available, project teams can instantly access verified information about the SOLAR platform and their ongoing projects.

For example, the assistant can:

• investigate incidents using logs, error messages, and transaction identifiers;
•  analyze regression test results and testing scenarios;
•  find similar questions resolved in previous customer projects;
• explain SOLAR architecture, reference data, database structures, and standard platform mechanisms;
• search technical documentation (ISO 8583, EMV, H2H/P2H protocols, HSM integrations, and others);
• review specifications before they are handed over to the vendor;
• provide instant answers to customer questions, drawing on the available product and project knowledge;
• handle most configuration changes end-to-end — for example, update tariffs, validate the changes, and generate a ready-to-load configuration file .

The result is straightforward — knowledge is no longer locked inside individual experts, making onboarding easier and reducing project dependencies, removing the countless small delays that accumulate throughout every implementation.

AI amplifies the expertise behind successful payment implementations — making years of accumulated knowledge available across teams and helping every project move faster from idea to production.