Xebia is a global leader in IT consulting, software engineering, and training. With 25+ years of experience and a team of 5,500+ professionals across 16 countries, Xebia specializes in AI, Data & Cloud, Intelligent Automation, and Digital Products & Platforms. A strong focus on engineering excellence and a people-first culture, equips organizations to apply emerging technologies that accelerate business innovation and drive sustainable competitive advantage. Xebia leads with a responsible and human-centric approach to AI, ensuring organizations shape a better tomorrow.
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Displaying 4 of 5 Solutions in All Industries
Agentic OS by Xebia is an enterprise AI platform built on Outsystems’ low-code to streamline AI adoption with strong governance, fast deployment, and a provider-agnostic design—turning AI from a costly challenge into a scalable, business-ready solution for medium to large enterprises.
Xebia's Agentic Banking Suite provides solutions for banks and financial organizations of any size to manage their financial activities via desktop or any smart devices. We provide complete flexibility to optimize and scale applications with dynamic user experience, all constructed from a single platform.
InsureAgent, built on Outsystems’ low-code platform, streamlines insurance sales by automating workflows, optimizing pricing, and generating real-time quotes with the use of Agents. It helps insurers cut costs, boost efficiency, and enhance customer satisfaction while staying ahead in a competitive market.
Traditional roadside assistance is slow, fragmented, and inefficient. Xebia’s solution, DriveResQ, built on the OutSystems low-code platform and integrated with Google Gemini AI, delivers fast, intelligent, and transparent recovery.
Displaying 4 of 347 Projects in All Industries
This project aims to update Legal Tab access controls based on the new RA_ID format. Organizations assigned a new-format RA_ID will no longer have visibility or access to the Legal Tab, ensuring compliance with updated business and governance requirements. Organizations using the existing RA_ID format will continue to operate without any changes, preserving current functionality and user experience. The enhancement will apply to both internal and external users, ensuring consistent access management across the platform. This initiative supports the transition to the new RA_ID structure while maintaining backward compatibility and minimizing disruption for existing organizations.
This project expands the FIA internal inspection process to include Large Farms in addition to the existing support for Small Farms. Group members associated with Large Farms will be enabled to participate in internal inspections, ensuring broader coverage and alignment of inspection activities across farm types. The solution will support the assignment and execution of inspections for Large Farms, with completed inspection reports made available on the web platform for both Small and Large Farms. Additionally, Certification Managers (CMs) will gain access to enhanced Large Farm data within key reporting tools, including GMR, Geodata, and Master Reports. This enhancement improves visibility, reporting capabilities, and operational consistency across the farm certification and inspection process.
As part of the RACP migration initiative, the RA PO has requested the removal of approximately 1,200 pending licenses associated with Certificate Holders (CHs) on the RACP platform. This activity aims to cleanse and align licensing data prior to migration, ensuring that only valid and relevant records are carried forward into the target system. The project will involve identifying eligible pending licenses, validating the scope of deletion, and executing the cleanup in a controlled and auditable manner. This effort will improve data accuracy, reduce migration complexity, and support a smooth transition to the new platform while maintaining compliance with established data governance standards.
This project aims to implement crop-specific trade reporting controls during the migration of crops to Chainpoint. When one or more crops are migrated, trade reporting will be blocked only for the affected crops to prevent data inconsistencies during the transition. Existing data for migrated crops will remain accessible in a read-only mode, allowing users to view historical information without making changes. Trade reporting and related operations for all non-migrated crops will continue to function normally without disruption. This approach ensures a smooth migration process while maintaining business continuity and data integrity across the platform.
