The new offering, accessible via the company's Glob.AI platform, addresses the persistent bottleneck of fragmented data and disconnected systems. By blending automated agents with senior engineers who oversee architecture and validation, Globant claims the model can achieve up to 80% automation in manual integration tasks. Internal benchmarks suggest this approach yields a 15–25% faster time-to-value and a 35% increase in efficiency during solution design.
Roland Berthelot, Global Head of Salesforce Studio at Globant, noted that integration and data readiness are the primary hurdles for organizations looking to scale Agentforce and other AI initiatives. The AI Pods are configurable based on specific technical environments, with tiered setups—Lean, Scaled, and Advanced—designed to handle between six and 24 integration flows per month.





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