From asset strategy to field intervention, without a break
We support producers, network operators and resource companies in their investment trade-offs, asset management and the organization of their field work. We build the strategy, deploy it on the ground and steer the results with the tools you already use.
Energy, utilities and resource companies manage long-lived, capital-intensive and often ageing assets within a regulatory framework that keeps changing. Each investment decision commits the business for decades, while field teams face daily demands on safety, availability and cost. The gap between a strategy approved in committee and what happens at a substation, on a network or at an operating site is often where value is lost.
For each mission, we compose a senior team suited to your situation: a dedicated contact, the WALVIS core team (strategy, finance, operations, data, AI) and sector experts from our network, selected by expertise profile. We work with your existing asset management, planning and reporting systems and do not ask you to adopt a new tool. Our role does not stop at the recommendation: we stay until decisions deliver measurable results.
The industry’s challenges
Renewing, extending or retiring an asset means weighing technical condition, risk, cost and regulatory requirements together. Without a method shared by finance, operations and management, these trade-offs stay fragmented and hard to defend.
Scheduling, task prioritization, coordination of internal crews and contractors, spare parts availability: the points of friction are many and rarely visible in dashboards. They still weigh directly on safety, lead times and operating costs.
Tariffs, service obligations and environmental requirements keep evolving and affect the whole value chain. The task is to turn them into organizational and budget decisions rather than endure them as a compliance burden.
Where AI makes the difference
AI can help detect early signs of failure or rank assets by risk level when the history is sufficient. When it is not, a clear criticality grid and a trade-off shared between finance and operations already deliver good results.
AI is justified for optimizing routes or anticipating parts needs at high volumes. In most cases, the first gain comes from simple prioritization rules, clarified roles and a weekly steering rhythm that is actually kept.
We structure the follow-up of obligations and indicators using your existing tools, with clear ownership. AI remains occasional, for instance to review large volumes of regulatory documents, while the rest depends on organization and follow-up discipline.