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Witham Technologies
04 · Critical operations

Data, cloud and AI for energy, utilities and infrastructure

From renewables to networks and critical infrastructure, we help operators connect asset, maintenance and operational data to improve reliability, reporting and cost control, securely.

Book a discovery call → See example projects
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Common challenges

What we often see in energy and utilities businesses

If any of these sound familiar, you're not alone. They're the problems that hold back performance in most operations in the sector.

Asset data in silos

Asset registers, maintenance systems, GIS and telemetry are separate, so asset health is hard to assess.

Heavy regulatory reporting

Performance and regulatory returns are compiled manually, with limited audit trail.

Telemetry volume

Sensor and SCADA data is collected but rarely used beyond the control room.

Maintenance cost pressure

It's hard to target maintenance spend where risk is highest.

Security and resilience

Moving operational data to the cloud raises understandable questions about security and separation from operational technology.

Example projects

What working with us could look like

Three examples of the kind of work we do in energy, utilities & infrastructure, from first conversation to measurable change.

Illustrative examples. These scenarios are based on common challenges in the sector and show how we'd approach them. They are not descriptions of specific client projects.

Example 1Data Platforms

A connected view of asset health and maintenance

The situation

An operator's asset register, maintenance work orders and telemetry sit in separate systems. Engineers can't easily see which assets are deteriorating or overdue.

What we'd do

  1. Integrate the asset register, maintenance system and selected telemetry into one data platform.
  2. Build asset health indicators and maintenance backlog views with the engineering team.
  3. Prioritise maintenance by condition and criticality, not just by schedule.

What changes

  • Asset condition and backlog visible in one place
  • Maintenance spend directed at the highest-risk assets
  • A foundation for predictive maintenance later

Typical shape: Data & Analytics Assessment → asset health pilot → wider asset classes

Example 2Analytics & Reporting

Automated regulatory and performance reporting

The situation

A team spends weeks each reporting cycle pulling figures from multiple systems into spreadsheets, with limited traceability back to the source.

What we'd do

  1. Map each reported measure back to its source systems and business rules.
  2. Build governed data pipelines with lineage and change history.
  3. Automate report production, with review and sign-off steps built in.

What changes

  • Reporting cycles shortened and less error-prone
  • A clear audit trail from each reported figure to its source
  • Experienced staff freed for analysis rather than assembly

Typical shape: Reporting review → priority measures automated → full return

Example 3Cloud Infrastructure

A secure cloud foundation for operational data

The situation

An organisation wants to use cloud analytics, but needs confidence that operational systems stay protected and that the environment is well governed.

What we'd do

  1. Run a Cloud Infrastructure Review covering security, network design and governance.
  2. Design an Azure landing zone with clear separation from operational technology networks.
  3. Deploy it with infrastructure as code, with monitoring and access controls from day one.

What changes

  • A secure, repeatable platform for data and analytics
  • Clear separation between IT, OT and cloud workloads
  • Easier assurance conversations with security and audit teams

Typical shape: Cloud Infrastructure Review → landing zone build → first workloads

Your existing systems

We work with what you already have

Most projects start by connecting the systems you already run, not replacing them. Systems we often see in this sector include:

  • Asset management & CMMS (e.g. Maximo, SAP PM)
  • GIS
  • SCADA & telemetry
  • Historians
  • Microsoft Azure
  • Microsoft Fabric
  • Power BI
  • Excel & SharePoint
Not sure where to start?

Begin with a Cloud Infrastructure Review

A focused review of where you are today, with clear priorities and a practical roadmap, before any commitment to a larger programme.

Discuss an assessment → See all assessments

Let's talk about your operation

Tell us what you're trying to improve. We'll arrange an initial conversation, and visit site if that's useful.

Book a discovery call →
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