Xebia

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.

The Phase-II release of Maiyar Invitation Workflow automates the end-to-end project request and evaluation process, previously handled manually. Project invitations are now sent to external government entities, who can submit their project requests directly through the system. Submitted requests are reviewed and clarified before acceptance. Accepted projects undergo internal and external evaluations, with consolidated scores presented in review meetings. Based on approvals, projects are qualified and assigned to respective directors for project management. This release significantly improves efficiency, transparency, and collaboration while reducing manual effort and turnaround time across all stages of the project lifecycle.

As part of the updates to Standard 1.4, the process related to SD/SI will be revised as follows: Service Information (SI): SI will no longer be included in Standard 1.4. SD Renaming: SD will be renamed to “Premium.” Phasing Out Existing Premium: The current “Premium” will be phased out. For transactions where “Premium” has already been implemented and is in the end-user phasing stage, it will be renamed “Premium (old).” Checks on SD/Premium: Existing checks on SD will remain unchanged (AS-IS), though the label will now appear as Premium. Tea Rules: Rules for Tea will remain unchanged (AS-IS). Scope: These changes will apply to all Accountholders, covering both Old Standard and RACP. This update ensures clarity in naming conventions and streamlines the SD/SI processes under Standard 1.4 while maintaining existing checks and rules.

The project focused on assessing and optimizing the Intelligent Business Platform (IBP) to enhance performance, scalability, and alignment with cloud best practices for a leading imaging and electronics company. The team conducted a comprehensive review of the existing architecture, analyzed performance logs, and evaluated business processes, data models, and delivery practices. Opportunities to integrate AI capabilities were explored using AWS Bedrock and AI Mentor Studio. In addition, the AWS environment was assessed against the AWS Well-Architected Framework, revealing key gaps related to scalability, security, and cost efficiency. The engagement concluded with a set of tactical improvement recommendations and the development of a future-state AWS roadmap to support Ricoh’s ongoing digital transformation.

The system provides secure PIN regeneration and reset functionalities, enabling users to update their PINs safely. It safeguards sensitive information by requiring authentication with the newly generated PIN, thereby preventing unauthorized access and ensuring privacy. This feature strengthens overall security and enhances user control over personal data. Key aspects include: -Secure PIN reset functionality -Conversion of previously stored PINs into new ones -A PIN login interface designed to conceal sensitive information without exposing the PIN.