WAICE

Language

Industries / Energy & critical networks

Maintainable AI for infrastructure that never stops.

Producers, grid operators, infrastructure managers, engineering firms and integrators face the energy transition, ageing assets and growing cyber exposure. WAICE helps them structure knowledge, modernise applications and run AI over time.

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Challenges

What teams are dealing with.

Numerous, dispersed assets

Lines, substations and field equipment require continuous maintenance and documentation.

Energy transition

Renewables, electrification and flexibility make planning and operations more complex.

Knowledge continuity

Grid expertise is spread across documents, systems, contractors and local teams.

Cyber exposure

Grid digitalisation raises security and traceability requirements.

What WAICE brings

Five angles, one method.

Business

Grid operations, maintenance and planning

  • Field intervention preparation
  • Incident analysis
  • Works planning support

Data & AI

Asset data, intervention history and metering data

  • Reliable asset register
  • Procedure knowledge base
  • Load and incident forecasting

Infrastructure & applications

SCADA, GIS, CMMS and supervision systems

  • GIS / CMMS integration
  • Application modernisation
  • Support of critical applications

Cybersecurity

Operators of essential services and industrial systems

  • IT / OT segmentation
  • IEC 62443 approach
  • Human validation of critical decisions

Regulation & compliance

NIS2, critical infrastructure rules, energy regulators' requirements

  • Traceability and auditability
  • Business continuity
  • Classification of AI uses under the AI Act

Safety components in the management of critical infrastructure (electricity, gas, heating) are listed among the AI Act's high-risk uses.

Use cases

Where to start.

Grid knowledge continuity

Structure procedures, past decisions and field expertise into a searchable base.

Measured by

  • search time
  • documented decisions
  • knowledge freshness

Intervention preparation

Gather asset history, instructions and constraints before each intervention.

Measured by

  • preparation time
  • repeat interventions
  • file completeness

Maintenance prioritisation

Combine asset condition, criticality and history to plan better.

Measured by

  • incidents avoided
  • availability
  • maintenance cost

Incident analysis

Speed up root cause analysis and the sharing of lessons learned.

Measured by

  • analysis time
  • recurrence
  • actions closed

Team

Profiles we deploy.

IT profiles today, joined over time by business experts from each industry.

  • Energy IT project manager
  • GIS / CMMS consultant
  • Data engineer
  • AI consultant
  • OT cybersecurity expert
  • Application support engineer

Transformation programmes

Start small, be ready to scale.

Our founder has worked on large-scale transformation programmes in international groups. WAICE starts with a controlled scope (one site, one function, one use case) and then scales up with a network of selected consultants and experts.

  • A first scope delivered within weeks
  • Governance designed for scale from day one
  • Teams built around your needs, IT and business

How we start

Four steps, at your pace.

  1. 01

    Diagnostic

    A one-hour or half-day session to qualify a use case, a risk or a decision.

  2. 02

    Scoping

    Scope, data, systems, regulatory constraints and success indicators.

  3. 03

    Delivery

    Development, integration and deployment, alongside your teams.

  4. 04

    Run

    Maintenance, support and continuous improvement, with clear service commitments.

Other industries

Aerospace & defence

Airworthiness, configuration, technical documentation: making AI useful where every decision must be traceable.

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Chemicals & petrochemicals

Seveso sites, process units, maintenance: securing operations and building on experience.

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Logistics & supply chain

Ports, warehouses, transport: making flows, data and documents more reliable.

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Manufacturing

Production, quality, maintenance: connecting the shop floor with enterprise systems.

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Pharma & life sciences

R&D, quality, production: AI designed for GxP environments.

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Banking & insurance

Compliance, customer relations, risk: controlled AI in a highly regulated industry.

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Start with a concrete case.

Tell us about a decision, a process or a system you want to improve. We will tell you honestly whether AI is the right answer.

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