All Foundries

Commodity Management & Trading

Transforming trading ecosystems through data-driven insights and secure, agile platforms that empower global commerce.

Customer & Marketing Strategy

Reimagining customer engagement with personalized, connected experiences that build trust and long-term value.

Digital Engineering

Turning ideas into scalable digital solutions—accelerating transformation through design, technology, and engineering excellence.

Station Studio

Redefining mobility hubs with digital innovation to create smarter, sustainable experiences for people and businesses on the move.

Supply Chain & Industry 5.0

Building resilient, intelligent supply networks that anticipate change and deliver efficiency with purpose.

Sustainability

Driving responsible innovation to help organizations achieve net-zero goals and create a positive impact for future generations.

Physical AI

Physical AI gives machines, robots and physical operations the ability to perceive their environment, decide what matters and act in real time. Factories, plants, stores and infrastructure become systems able to sense conditions, learn from them and improve on their own, closing the gap between the physical and the digital world.

Next-Gen Infrastructure

From networks as infrastructure to connected platforms that enable critical, autonomous and intelligent operations.

Retail

From satisfaction surveys to EBITDA: closing the loop on customer pain points

A department store retailer in Mexico turned a biannual NPS programme into a closed-loop customer listening mechanism, connecting feedback to pain-point initiatives and incremental EBITDA.

From satisfaction surveys to EBITDA: closing the loop on customer pain points

Retail

Unified returns management

A retailer processing more than two million returns a year moved from channel-specific workflows toward one digital returns system. The initiative connects request creation, status tracking and routing across sales and return channels.

Unified returns management

Contact

Risk-Based Gas Network Maintenance Planning

Fixed inspection cycles were no longer enough for a network where leakage risk varies by asset characteristics and operating context. A gas infrastructure operator moved toward risk-based maintenance planning, combining leakage models, segmentation and optimization to adapt inspection frequency to asset risk and workforce constraints.

Remote gas pipeline station in a dry hilly landscape, with valves, telemetry equipment, service access and a field technician inspecting the site.

33% reduction

Kilometres monitored per year

20% improvement

Carbon footprint

1–6 years

Risk-based inspection intervals

Dual-horizon planning

Annual and monthly optimization

Gas utility technician inspecting a valve assembly beside an open service van, representing focused maintenance follow-up on priority network assets.

Turning Gas Maintenance into a Risk-Led Operating Model

The initiative created a planning model that connects leakage risk, network segmentation, proximity and workforce capacity across annual and monthly horizons, giving maintenance teams a more adaptive basis for preventive action.

Direct field effort where network risk matters most.

Objectives

Replace fixed two- and four-year preventive inspection cycles with frequencies shaped by leakage risk, while optimizing both long-term and monthly planning around real workforce constraints and changing operating conditions.

Opportunity

Extend the documented approach across gas distribution and transmission inspection planning to reinforce a standardized risk-based decision process, using asset condition, criticality and work requirements more consistently as maintenance priorities evolve.

Breaking the Fixed-Cycle Maintenance Model

The operator needed to move from static inspection frequencies and manual scheduling to planning that could reflect network risk, changing conditions and workforce reality without losing confidence in how priorities were set.

Key Challenges

Industrial gas regulation facility with multiple pipe sections, valves, gauges and control equipment, illustrating varied asset conditions that fixed inspection cycles must address.

1: Inspection cycles did not reflect asset risk
Fixed two- and four-year cycles did not fully account for leakage risk, material, gas type, connections, age, length or pressure.

Two maintenance planners reviewing a large network map, schedules and technical documents, illustrating the complexity of coordinating gas inspection plans with workforce constraints.

2: Manual planning constrained adaptability
Planning needed to respond to internal and external workforce constraints as well as changing operational conditions.

Field technician using a rugged laptop beside remote gas pipeline instrumentation, showing asset and operational information distributed across field systems and maintenance workflows.

3: Critical maintenance information was dispersed
Asset, condition, maintenance and operational information was distributed across different systems, formats and organizational teams.

Gas utility crew working inside a protected urban excavation around a pipeline valve and joint, representing the need to connect risk decisions with traceable field interventions.

4: Prioritization had to remain explainable
Work needed to be prioritized by risk and operational relevance while preserving traceability from evidence to maintenance or investment decisions.

Solution

An Evidence-Led Planning Model for Gas Network Maintenance

The approach combined subsection-level risk modelling, segmentation, optimization and a common decision workflow so annual and monthly maintenance plans could be built, validated and adjusted consistently.

Model risk at subsection level

Built leakage-risk models at pipe-subsection level so planning could reflect the documented differences in network risk.

Optimize annual and monthly plans

Created monitoring zones, optimized annual planning by frequency and proximity, and optimized monthly plans using workforce constraints and planning groups.

Connect asset and operational information

Integrated relevant asset and operational data into a common decision workflow and applied analytical or rules-based logic to identify priorities.

Validate plans and link them to execution

Provided a dashboard to validate and modify standardized plans, while connecting analytical insight with planning and maintenance execution.

Impact

Lower Inspection Distance, Sharper Risk Focus

The documented results include a 33% reduction in kilometres monitored per year and a 20% improvement in carbon footprint. The approach also enabled more adaptable maintenance planning under changing operating conditions and a standardized risk-based decision process, while focusing inspection attention according to risk.

Featured
success stories

Empowering field operations through digitalized service management and improving safety conditions trough connected worker technologies

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