Artificial Intelligence (AI)
Context & challenges
In the context of both energy and technology challenges facing major infrastructure projects, stakeholders in sectors such as low-carbon electricity, transportation, and smart cities must now overcome new obstacles. Effectively understanding, managing, and leveraging large volumes of data from diverse sources and domains, has become essential to optimise timelines and costs for implementing large-scale programs and projects.
Artificial Intelligence (AI) has become a key enabler for leveraging large volumes of complex data, optimising processes throughout the infrastructure lifecycle. It also enables the automation of repetitive tasks, facilitates decision-making, and enhances the knowledge assets of stakeholders in the energy transition.
AI FOR ENGINEERING AND PROJECT MANAGEMENT
Since 2017, Assystem has been investing in artificial intelligence to support engineering and project management services through a dedicated centre of excellence.
OUR AI SERVICE OFFERING IS BASED ON:
- A deep understanding of critical infrastructure, particularly in the nuclear sector, developed over more than 60 years
- Proven expertise in engineering and project management processes
- Advanced capabilities in mathematics, data structuring and analysis, data science, machine learning, deep learning, and automation
- A strong network of technology partners and a rich innovation ecosystem (AI and software developers, hyperscalers, operators and industrials, universities, schools, etc.)
- Research and development projects to design demonstrations and real-life use cases, conducted internally or through open innovation with partners and/or clients, following an agile co-development approach (e.g., ConnexITy program, AI demonstrators for EDF, Ci2ANum project for Andra, STEP project for UKAEA in the UK, etc.)
ASSYSTEM’S OFFERING INTEGRATES:
- A comprehensive approach covering all stages of the project lifecycle, from strategy, governance, and experimentation to large-scale deployment
- The ability to develop innovative solutions by leveraging multimodal datasets and the latest technologies ; discover CurieLM, Assystem's AI-based LLM model!
- An agile, value-driven methodology tailored to project needs
By combining AI with our engineering expertise, Assystem aims to play a central role in the sustainable transformation of the energy sector, supporting the transition to a low-carbon future.
Our expertise
1. AI Strategy: Building a vision aligned with client's business challenges
Assystem supports its clients in defining a clear and effective AI strategy aligned with their strategic priorities, business processes, and resources:
- Maturity assessment
- Use case identification
- Analysis of business processes and data sources
2. AI Organisation and Governance: Structuring clients’ AI projects with built-in compliance
We establish robust AI organisation and governance frameworks that ensure the success of our clients’ initiatives while meeting regulatory requirements:
- Regulatory compliance (AI Act, local and international laws)
- AI technology benchmarking
- Development of multimodal datasets and model adaptation
- Building and/or leveraging clients’ knowledge assets
- Change management and training
3. Agile Experimentation: Testing quickly to iterate and improve performance
Assystem adopts an agile approach to design, test, and validate clients’ AI solutions from the early stages of the project:
- Validation of datasets and models
- AIops/MLops and prompt engineering
4. Scaling AI: Industrialising clients’ AI solutions
Assystem supports its clients in deploying and maintaining their AI solutions at scale throughout the lifecycle:
- Secure deployment of algorithms
- Evolutionary maintenance (updating LLM models and datasets)
- TMA (Third-Party Maintenance Support)
Clients benefits
At Assystem, we create innovative solutions that combine human and artificial intelligence to serve as a strategic lever for transforming engineering and addressing the complex challenges of the energy transition. Our AI solutions focus on our client's needs and business processes at every stage of their project lifecycle:
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Site characterisation phase: Processing massive volumes of data and documents to optimise study and site selection processes, ensuring informed decision-making.
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Design phase: Achieving time savings of up to 30% in engineering phases for new projects by reusing existing data; Assystem teams already use AI for requirement management and quality control automation.
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Construction phase: Using AI for HSE monitoring on construction sites or tracking physical progress; Assystem has deployed solutions to automate reporting and enhance feedback in serial construction projects.
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Operation and maintenance phase: Digitalise and manage complex schedules via AI, as in the multi-year maintenance programme of the French nuclear fleet, to help anticipate and mitigate risks with agility.
The capabilities of artificial intelligence are revolutionising engineering by automating repetitive, low-value tasks, generating productivity gains of 15% to 50%. It also enhances our clients' knowledge assets, facilitating the training of new talent, accelerating activity preparation, leveraging feedback, and improving project execution performance.