3 key advantages of a multi-platform architecture in RPA

This is a discussion topic for the original post at 3 key advantages of a multi-platform architecture in RPA - BotCity | Python RPA | Blog

More than half of RPA leaders (56%, “RPA in Latin America” survey conducted by BotCity) use more than one automation platform, segmenting their architecture into modules with the most suitable options for each specialty.

This type of multi-vendor architecture provides 3 key advantages:

✅ Avoids lock-in with the same supplier;

✅ Increases bargaining power in the acquisition of licenses;

✅ Provides better solutions for each use case;

With the majority (56%) of companies adopting a multi-platform architecture and using Python (79%) in their automations, we observe a trend toward the adoption of non-proprietary technologies and open APIs in RPA stacks, to facilitate the integration with the diversity of projects present in the companies and favor the cooperation between the automation, data science/data engineering and integration teams, and compose a technological stack capable of supporting these different initiatives.