The AI Revolution at the Service of Organizations

Artificial Intelligence stands out as the most transformative innovation since the rise of the Internet. It is profoundly reshaping productivity, work organization, customer relations, and service design.

At the heart of this transformation is Agentic AI: agents capable of executing tasks, connecting to business systems, and collaborating with each other as true digital teammates.

NEURONES positions AI as a lever for performance, risk management, and innovation for large enterprises and organizations.

 

NEURONES AI Offerings

NEURONES' AI offerings cover the entire value chain, from technical architecture to business use cases.

AI Architectures and Platforms

  • Design of multi-LLM AI platforms on client infrastructures (ChatGPT, Gemini, Claude, Mistral…) with data security measures (RAG, context window management, integration with data projects).
  • Group-operated AI platforms using open-source LLMs (e.g., Qwen), hosted on SecNumCloud-certified infrastructure and accelerated by NEURONES GPU cards.
  • AI platforms accompanied by a commitment not to train on client data, with scheduled migration to a future internal platform.
  • Selection and integration of partner AI platforms (Konverso, Susi&James, GetVocal, VirtualBrain, Talkr, Camunda, Workato, Bonita, Gravitee, Kong, Rovo, N8N, Gbrain, Gstack…) based on objective criteria (security, performance, cost, SI integration).
  • Support on low-code agent design platforms (Copilot Studio, Power Platform, N8N…) to accelerate the production deployment of use cases.

Design and Deployment of AI Agents

  • Functional analysis of business needs and identification of high-stakes use cases.
  • Design and development of AI agents on client platforms or those operated by NEURONES (including MCP servers, A2A systems, and orchestrated multi-agent systems).
  • Tailored business models: time-based billing on client platforms or subscriptions on NEURONES and partner platforms.
  • Operational maintenance of deployed agents: supervision, continuous improvement, and adaptation to business changes and model updates.

AI-Assisted Coding and Modernization

  • Retro-documentation of existing applications to recover functional and technical knowledge.
  • Code migration and modernization (refactoring, technology shifts, standardization of application layers).
  • AI-assisted testing: test generation, coverage analysis, and anomaly detection.

AI Consulting and Strategy

  • Identification and prioritization of high-impact use cases for business units.
  • Evaluation and monitoring of ROI for AI initiatives.
  • Definition of AI roadmaps: organization, governance, skills, risk management, and ethical considerations.

AI Already at the Heart of NEURONES' Processes

NEURONES' AI offerings are underpinned by solid experience derived from AI usage within the Group's internal processes:

  • Pre-sales: tender analysis, proposal writing assistance, and acceleration of response cycles.
  • Fixed-price Project Management: documentation production, meeting minutes, and tracking support materials.
  • Technical Assistance and Staffing: resume formatting, matching profiles with client needs.
  • Infrastructure Service Centers, Cybersecurity, User Support, TMA: AI-assisted operations with over 300 agents in production.
  • Software Development: widespread adoption of AI by development teams, yielding significant gains in productivity and code quality.

Large-Scale AI Challenges

The massive deployment of AI raises strategic, technical, organizational, and regulatory challenges:

  • Data Confidentiality and Security: protection of sensitive data, flow management, and access and usage control.
  • Shadow AI: managing individual subscriptions to market LLMs, limiting risks of client data leakage, and implementing controlled enterprise AI solutions.
  • Agent Quality and Liability: reducing plausible but inaccurate responses and hallucinations, defining guardrails, and accounting for contractual implications.
  • Staff Adoption: tool appropriation, skills development, and spreading best practices without stifling innovation.
  • Costs and ROI: managing costs related to tokens and infrastructure, and precise monitoring of ROI for use cases.
  • Infrastructure and Compliance: availability of robust data and AI infrastructure, and compliance with ethical and regulatory requirements (AI Act, model transparency, bias management, GDPR, data governance).

 

NEURONES transforms AI into a strategic asset for organizations, combining technological mastery, operational experience, and strict compliance standards.