Infotel, là où vous êtes
AI projects already underway in demanding environments
Infotel supports companies and organisations in highly regulated sectors, including banking, insurance, energy, industry and public services, in their Artificial Intelligence projects.
Assignments notably cover augmented development, application landscape understanding, modernisation, testing, specialised agents, AI platforms and the evolution of service centres.
Key figure
More than 30 clients supported in their AI projects
Depending on the organisation, Infotel can intervene in scoping, experimentation, training, agent design, integration into existing environments or deployment into operational activities.
This diversity enables us to test AI use cases across very different contexts, business areas and levels of maturity.
Guillaume Letrou’s perspective
” What we are seeing today is that companies no longer want to simply test AI. They are looking to integrate it into their projects, their service centres and the way they work.
Our role is to start from their real environments, measure what works and support them as they scale.”
Examples of projects
Augmented development for a major mutual banking group
Augmented development for a major mutual banking group
Infotel supports the IT department of a major French banking group in a programme focused on augmented development.
The initiative covers the identification of useful use cases, the definition of best practices, team support and the assessment of gains, notably around code generation, documentation and testing.
It helps development teams progressively evolve their working methods and identify the use cases that deliver the most value.
Agent design for an international banking group
Agent design for an international banking group
Infotel supports an international banking group in the design and experimentation of specialised agents within a structure dedicated to innovation and AI Advisory.
The topics explored notably include human resources, cybersecurity, regulatory compliance, risk analysis and the use of internal knowledge.
This approach makes it possible to test agents on real needs before considering their integration into operational activities.
Application modernisation for a public financial institution
Application modernisation for a public financial institution
Infotel supports a public financial institution on several topics related to the understanding of critical application landscapes.
The assignment covers documentation, reverse documentation, test automation and the assessment of AI solutions adapted to a highly regulated environment.
It facilitates the preparation of evolution and modernisation projects while maintaining control over existing systems.
Augmented application maintenance for a major public operator
Augmented application maintenance for a major public operator
Infotel supports a major public operator in the progressive integration of AI into an application maintenance framework.
Use cases notably cover application landscape understanding, access to knowledge, request analysis and improvement of deliverable quality.
This approach helps evolve the maintenance model while maintaining continuity of service and control requirements.
Expanding AI use cases within a major energy company
Expanding AI use cases within a major energy company
Infotel supports a major energy company in developing team skills and identifying use cases related to development, maintenance and day-to-day activities.
Topics include augmented development, automation of certain tasks and preparation for broader integration of AI into IT processes.
This approach enables teams to progressively experiment with the most relevant use cases before considering wider deployment.
AI across the full software lifecycle in insurance
AI across the full software lifecycle in insurance
Infotel supports a major insurance group in exploring AI use cases across the full software lifecycle.
Experiments cover design, development, testing, deployment, documentation and impact analysis.
They help identify the activities where AI can improve team efficiency and application quality.
Reverse documentation of applications in the food industry
Reverse documentation of applications in the food industry
Infotel supports an industrial group in understanding and documenting its existing applications using Scribe.
The approach is based on code analysis, knowledge structuring and the production of documentation that is easier to use.
It facilitates application evolution projects and reduces dependency on a limited number of long-standing experts.
AI platform for a financial services company
AI platform for a financial services company
Infotel supports a financial services organisation in implementing an AI foundation designed to structure future use cases.
Support covers architecture, security, governance, model orchestration and the possibility of extending the platform to new agents or use cases.
This approach helps prepare a scalable environment capable of progressively supporting new AI applications.
AI training for a major public financial institution
AI training for a major public financial institution
Infotel supports a major public financial institution in developing team skills through programmes designed for experts and project managers.
The programmes combine AI awareness, practical use cases, architecture, governance and AI project management.
They help teams better understand the uses, limitations and deployment conditions of these technologies.
Our main areas of intervention
Development and delivery
Augmented development, application documentation, test automation and augmented service centres.
Information system transformation
Modernisation, impact analysis, agents, workflows and secure AI platforms.
Business use cases and support
Business agents, document automation, use case scoping, training and team support.
An approach adapted to each environment
Each organisation has its own tools, platforms, data and security rules.
Infotel integrates into existing environments, takes into account the solutions already in place and builds use cases together with the relevant teams.
Infotel integrates into existing environments, takes into account the solutions already in place and builds use cases together with the relevant teams.
Client feedback that helps evolve our offerings
Projects carried out with our clients directly feed into the Group’s work.
They help evolve the AI Software Factory for delivery-related use cases, IAS agents when a client need can become a reusable solution, the work of the AI Innovation and Industrialisation Centre, and AI Campus programmes based on use cases encountered in the field.
Find out more about our projects
For confidentiality reasons, client names are not published on this page.
However, in confidential discussions, our experts can present the projects carried out, the environments concerned and the main lessons relevant to your situation.
