- practical model To bring responsible AI to society real world operations
- Certifications applied to real-world use cases
- Indra Group Case Study: From experimentation to scalability corporate model
- PUnique and tailored methodology to manage AI
- collaboration and drive Ecosystem and innovation
indra group is recognized in responsible use First award in the field of artificial intelligence in a corporate environment Aenoa Certification of “Responsible AI Technology” Based on Microsoft tools. ”
The official announcement of the certificate took place the following day. July 13th in AENOR Head Office During an organized event in Madrid highlighting cooperation between the two countries. tripartitePaco Salcedo, president of Microsoft in Spain, also attended. Rafael García Meiro, CEO of AENOR. Luis Navarrete, Global CIO of Indra Group, said: This gathering was not only about awarding certification; Joint effort of three organizations Responsible development and implementation of artificial intelligence in the business sector.
AENOR’s “Responsible AI Technology” Certifications “based on Microsoft tools” are Practical use Some of the certification requirements for AI agents developed using microsoft technologyin line with Indra Group’s agent methodology. With this methodology, Design, development, operation Manage artificial intelligence agents according to standards that cover control, traceability, safety measures, cost management (FinOps), data quality, and objective evidence generation.
practical model To bring responsible AI to society real world operations
rapid expansion generative artificial intelligence And AI agents within organizations have profoundly changed the way we work, make decisions, and deliver services. In this situation, companies go beyond the theoretical framework to Operating model Ability to demonstrate responsible and scalable use of these technologies.
In this field, specifications developed by Collaboration with AENOR and Microsoft will stand As an application framework that provides Verifiable standards To implement responsible AI controls in your production environment:
- Incorporate technical and operational Organizational management from the design stage.
- integrate Data quality, technical measurescontrol mechanisms and protection throughout the life cycle.
- and generate verifiable evidence Provide objective data.
Certifications applied to real-world use cases
Certification obtained Therefore, by Indra Group In addition to verifying of Control definitionas well as to specific use cases where AI agents developed using Microsoft Copilot Studio technology are utilized.
In particular, system is certified in this case:
- Onboarding agent: Support and assistance system for new professionals joining the technology group.
- Regulatory Compliance Supervisory Agent: A system to verify and support compliance and continuous improvement to the ISO/IEC 20000 management system
These agents are developed using Microsoft technology and Verification process is designed to guarantee. Operation management, traceability And please use it responsibly.
The certifications obtained focus on: Verification of technology and the operational lifecycle of agents to ensure that agent operations, configurations, and usage are met. Verifiable standards For responsible AI.
Indra Group Case Study: From experimentation to scalability corporate model
Carmen Bauset, Head of System Governance and Project Leader at Indra Group, said: AI model itselfHowever, they differ in their design, configuration, and method of operation. In environments using agents or generic models, control lies in repetitive nature The focus is on the process, not the algorithm itself. ”
Agent proliferation in environments such as: Microsoft copilot studio emphasized the need for uniform framework Ensure end-to-end traceability across your organization. Consistency of control. and the generation of standardized evidence.
In response, Indra Group developed and implemented a unique solution. Design methodologythe development and operation of artificial intelligence agents. traceability, management and generate objective evidence throughout the lifecycle.
This methodology allows you to standardize the development and operation of these agents, ensuring scalability while maintaining control. We have structured the lifecycle of these technologies into six phases.
- understand the business and related requirements
- understand the data and information
- Data preparation, cleansing, and labeling
- Agent design and modelingas well as its technical configuration,
- Internal evaluation and pilot testing together with stakeholders
- Iterative deployment, maintenance, and continuous improvement
PUnique and tailored methodology to manage AI
AENOR certification is unique methodology Integrated into Indra Group for development of artificial intelligence agent Enterprise AI operating model (EAOM) is an operational framework designed to manage industrialized scaling of agents. Standardized and measurable methods.
Within this framework, authentication verifies the following: controls and mechanisms What is defined for the design, development, and operation of AI systems is effectively applied to qualified real-world use cases. In this way, not only the technology employed is evaluated, but also how it is managed and managed. used throughout the lifecycleWe ensure that we use AI responsibly based on: Microsoft’s Responsible AI technology And principles.
collaboration and drive Ecosystem and innovation
The project was developed at: Close collaboration with Microsoft and AENOR, through a collaborative model. technical ability It must meet the necessary requirements for management and authentication.
One of the key factors for success is active employee participation. Experts from three organizations come togetherThose who have worked as a cohesive team From the outset, it emphasizes the unique contributions of people in the age of AI.
With this certification, Indra Group recognizes itself as Leader in responsible deployment Demonstrating the potential of artificial intelligence, Expand your use of AI agents In an industrialized and controlled manner, in line with regulatory and market standards. On the other hand, AENOR’s “Responsible AI technology based on Microsoft tools” Certification has established itself as a critical solution for organizations looking to move forward with AI adoption with confidence. Moving from experimentation Move into production with real evidence and results.
This initiative represents a further step in the evolution of Indra Group’s business model. people and AI agents Work together seamlessly to transform processes, expand capabilities, and accelerate value creation.
