WAICE

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Industries / Manufacturing

Making AI useful on the shop floor: production, quality and maintenance.

Mid-sized and large manufacturers want better performance without more complex systems. WAICE helps them link MES, ERP and machine data, make production applications more reliable and deploy AI where it brings a measurable gain.

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Challenges

What teams are dealing with.

Performance under pressure

Energy costs, competition and customer requirements push teams to produce better with the same resources.

Under-used machine data

Sensors produce plenty of data, rarely linked to quality and planning.

Skills shortage

Hiring and training technicians takes time; know-how must be passed on.

Stacked systems

ERP, MES, CMMS and in-house tools have piled up over the years.

What WAICE brings

Five angles, one method.

Business

Production, quality and maintenance

  • Quality defect analysis
  • Support for operators and technicians
  • Production planning

Data & AI

Machine, MES, quality and maintenance data

  • Shop-floor data collection and context
  • Predictive maintenance
  • Lot and serial traceability

Infrastructure & applications

ERP, MES, CMMS and PLCs

  • ERP / MES integration
  • Shop-floor application development
  • Support and maintenance of production applications

Cybersecurity

Shop-floor networks and connected machines

  • IT / OT segmentation
  • IEC 62443 approach
  • Secure remote access

Regulation & compliance

ISO 9001, customer standards (IATF 16949 in automotive), Machinery Regulation, NIS2 for some manufacturers

  • Quality documentation
  • Product traceability
  • Mapping of AI uses under the AI Act

AI built in as a safety component of a machine falls under the stricter requirements of both the AI Act and the Machinery Regulation.

Use cases

Where to start.

Quality defect analysis

Link defects, process parameters and lots to find root causes faster.

Measured by

  • scrap rate
  • analysis time
  • customer complaints

Predictive maintenance

Anticipate failures of critical equipment from machine data.

Measured by

  • unplanned downtime
  • OEE
  • maintenance cost

Operator assistant

Give access to work instructions and known fixes, right at the workstation.

Measured by

  • resolution time
  • training time
  • setup errors

Assisted planning

Propose schedules that account for capacity, stock and priorities.

Measured by

  • on-time delivery
  • service level
  • inventory

Team

Profiles we deploy.

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

  • Industrial IT project manager
  • ERP / MES consultant
  • Business application developer
  • Industrial data engineer
  • AI consultant
  • 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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Energy & critical networks

Grids, substations, generation: keeping AI maintainable in infrastructure that never stops.

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Logistics & supply chain

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

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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.

Explore the industry

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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