A short, costed entry point — the blind-spot diagnostic — then the pathways, the programmes and the training. All of it measured across three axes: cost, risk, footprint.
An exposure review across three axes — cost, risks, footprint — to identify the priorities and frame any work needed to correct course.
8 to 15 consulting days over 3 to 6 weeks.
Interviews, document review, joint construction of dependency graphs, readout workshop.
Detailed quantification of a given perimeter, contribution to the IT master plan, programme framing, training.
The sustainability challenge is twofold: anticipating systemic risks and dealing with them; reducing your own impacts and thereby helping to reduce those systemic risks. The environmental impacts of digital technology and digital operational risks are two questions whose answers are either identical or complementary.
Dependency on a service provider's data centre somewhere is at once a carbon impact and a business continuity risk. AI governance determines tomorrow's environmental footprint and the operational risks of the day after.
Treating these questions as a whole is what makes an organisation last.
Combined expertise across climate issues, risk analysis, information systems architecture and AI. From the production of foresight studies to operational grounding, an experience that makes it possible to work with the board of directors and with technical teams alike.
Measure the real footprint of digital technology — including that of AI, which is often poorly estimated — build the decarbonisation pathway and implement it with the teams concerned, and identify the sufficiency dividend.
Full carbon assessment of the information system, life-cycle analysis (LCA) of digital services, measurement of the impacts of AI usage. Also mapping of impacts by function and department, scenario-based projections of medium-term carbon emissions, assessment of the induced effects of services ("IT for Green").
Architecture analysis, eco-design of digital services, infrastructure optimisation, low-carbon hosting, implementation of frugal AI policies. Pathway, steering index, cost-benefit studies, calculation of the sufficiency dividend. Transformation programme and operational governance of the transition.
Analyse systemic energy, climate and sovereignty risks and build robustness pathways, fundable through the sufficiency dividend.
Mapping of digital dependencies by strategic function, scenario-based analyses of physical risks, assessment of financial impact — operational discontinuity and rising energy prices. Policies and actions to mitigate risks: relocation, redundancy, sufficiency. Implementation of governance that embeds robustness.
Mapping of economic and geopolitical dependencies, assessment of operational and cognitive risk. Definition of de-risking pathways, proposal of reversible architectures, studies of alternative solutions — open-source software and AI, "sovereign" clouds. Implementation of governance that embeds strategic autonomy.
Strategic
You have to arbitrate between operational performance, regulatory constraints and the long-term viability of the organisation. LUTECIUM provides the analytical elements to inform your decisions and to defend them before your board. High-level training on sovereignty, energy-climate and regulatory issues.
Operational
Digital technology sits at the crossroads of new crises: energy, climate, dependencies. LUTECIUM helps you navigate this new environment and build an architecture and an AI roadmap that are lean, resilient and sovereign, aligned with the group's strategic objectives. Technical training through practice, based on joint construction.
Compliance
Climate, geopolitical and technological risks feed one another. LUTECIUM maps these interdependencies and integrates them into your risk management framework and your reporting obligations. Training on climate risk and regulatory monitoring.
Perimeter, critical dependencies, cost, risk, footprint: thirty minutes are enough to frame the diagnostic and decide whether it makes sense for you.
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