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Digital, Data & AI · AI & Automation

Industrial IoT, computer vision and applied AI, in one accountable team

End-to-end digital transformation using industrial IoT, applied AI, computer vision and ERP integration — delivered by one accountable team.

A governed intelligence core orchestrating connected workflow modules
Capabilities

From the plant floor to the boardroom.

From the sensor on the plant floor to the copilot in the boardroom — four capability areas that join operational technology, AI and the enterprise core.

Industrial IoT & Digital Twins

Sensing and modelling the physical estate to predict failure before it happens.

  • Time-series historians & sensors
  • Vibration & motor-signature analytics
  • Drone / LiDAR 3D twins
  • ML-driven failure prediction

Computer Vision & Safety AI

Vision analytics that keep operations safe, compliant and within quality tolerance.

  • PPE compliance & intrusion detection
  • Foreign-object & fire-risk alerts
  • Process anomaly & quality inspection
  • Shared video-analytics platform

Applied AI & GenAI

Language and decision intelligence with governance and a human in the loop.

  • LLM document intelligence
  • Tender evaluation & contract analysis
  • Decision-support copilots & RAG
  • Explainability & human-in-the-loop

Integration, Cloud & ESG

The architecture that connects operational technology to the enterprise core.

  • Event-driven, API-led architectures
  • OT-to-S/4HANA integration spine
  • AWS / Azure / GCP cloud-native engineering
  • ESG: emissions, energy, water & materials
Delivery approach

Discover, prove, scale.

A phased approach that frames the opportunity, proves it on real data, then scales and sustains what works.

01Discover · Frame · Architect

Map opportunities, size value and design the target architecture before building.

02Pilot & Prove

Stand up focused pilots that prove value with real data and real users.

03Scale & Sustain

Industrialise what works and run it as a sustained, governed capability.

How we work

Principles that keep AI accountable.

Three principles keep AI investment focused, economical and accountable — so it compounds rather than fragments.

Cluster, don't proliferate

Consolidate use cases onto shared platforms rather than spreading point tools across the estate.

Buy where mature, build where unique

Use proven products for commodity capability and reserve custom engineering for genuine differentiation.

OT, AI and ERP in one team

One accountable team across operational technology, AI and ERP — not three vendors stitched together.

Next step

Start opportunity mapping and value sizing.

Start your transformation and we'll frame the highest-value AI, IoT and automation opportunities across your operations and enterprise core.