Expertise

maintAI: AI-powered asset maintenance

What we do

We use AI to rapidly focus maintenance effort when and where needed.

What is maintAI?

AI-accelerated maintenance optimisation

maintAI is Wood's own AI-powered tool that uses your data, our domain knowledge and decades of asset best practice to release maintenance value in as little as eight weeks.

Core capabilities

maintAI rapidly optimises maintenance hours, operating costs, equipment reliability and process safety using your asset’s data.

Powered by AI and expertise

maintAI deepens understanding of equipment performance, predicts outcomes and targets efficiencies fast - with all outputs strengthened by our subject matter experts who have over 50 years of operations and maintenance experience.

Uncovering actionable insights, fast

By using performance data from across your systems, maintAI provides comprehensive insights into your asset’s maintenance that drive change – whether that’s defining the right work to do, planning for the right time, executing in the right way or optimising at the right frequency.

Part of Wood's operations and maintenance solution

maintAI is just one part of our maintenance toolkit, bringing added value across your asset’s operations and maintenance.

Operations and Maintenance

50+
maintAI projects executed for major operators, globally
>1m
maintenance hours released via maintAI optimisation
>$70m
annualised maintenance value delivered for clients through optimisation

How maintAI brings value to you

Background image for our benefits
Reduce risk
Quickly identifies essential systems, equipment and failure modes to enhance safety outcomes.
Reduce cost
Eliminates non-value-adding maintenance activities, optimises inventory levels and increases capacity by implementing data-driven, condition-based interventions tailored to your organisation's data.
Reduce unplanned downtime
Move efforts from non value adding maintenance to critical areas, execute the right work, at the right time, with the right people.

Great piece of work to underpin the reliability plans for the North Sea region, allowing targeted analysis and insights for maintenance teams.

Vice President of Production
Confidential

Customer success story

Releasing maintenance capacity to improve asset reliability

North Sea, UK

Challenge

A supermajor operator needed to create maintenance capacity to drive reliability improvement across upstream assets at various life cycle stages.

Solution

Wood deployed maintAI to target rapid value release, focusing on:

  • Releasing capacity – maintAI Predictive Maintenance Optimisation application to release value from maintenance build and inventory holding.
  • Removing backlog - maintAI Backlog Optimisation application to remove non-value adding backlog and provide focus on key defects.
  • Providing visibility – Asset reliability twin deployed to provide clarity, prioritisation and drive surveillance compliance.
Result
  • 46,000 hours annualised preventive maintenance hours removed across five operational assets
  • >65,000 hours none value adding overdue backlog removed
  • >$3m USD annualised maintenance OPEX reduction through the removal on non-value adding activities
46k
hours annualised maintenance hours removed
>$3m
annual OPEX reduction achieved
Challenge
Solution
Results

Ready to release maintenance value from your data?

Let’s explore where maintAI can uncover value across your operations.

Gordon Buchan
Global Director of Maintenance
Ramin Rahnama
Growth Manager - maintAI
Kevin Stewart
Operations Director
What can maintAI do for you?

Applications

Preventive maintenance

Optimises your preventive maintenance strategy to reduce downtime and costs.

Backlog

Removes non-value adding overdue maintenance and prioritises focus where needed.

Spares

Optimises spares and inventory levels to deliver reliability targets.

Predictive maintenance

Transforming maintenance approach from time and frequency to condition-based intervention.

Performance OpticsAI

Proactive process safety assurance and safety critical maintenance assessment.

IntegrityAI

Optimises inspections and integrity programmes to maintain compliance.

SchedulerAI

Value-focused, optimised routines and turnaround (TAR) maintenance plans.

SafetyAI

Delivers deep insight into workforce safety and uncovers improvements.

We have never before been able to leverage leading indicators and root causes of safety incidents in our industry - safety behaviours and mindsets.

General Manager 
Confidential
90%
reduction in effort to conduct equipment criticality and performance standard development
40%
reduction in maintenance operating costs
25%
reduction in maintenance backlog with minimal risk impact
Your pathway to AI powered maintenance starts here

How can I get started with maintAI?

Whether you’re new to AI or have your own maintenance and reliability teams, we’re with you every step of the way. We start with a unique understanding of your needs, using an accelerated timeline to start delivering value across your asset, fast.

Step 1  
Discover your needs

We start by understanding your goals and challenges to identify right fit applications.

Step 2 
Configure and validate

Our AI models are tailored to your assets and benchmarked against industry standards.

Step 3
Generate insights

We turn your data into clear, actionable insights for smarter decisions.

Step 4
Expert assurance

Our specialists validate outputs to reduce risk and ensure accuracy.

Step 5
Generate value

Together, we turn insights into measurable improvements and long-term O&M plans.

Step 6
Scale and sustain

We help you expand AI across your operations and embed continuous improvement for lasting impact.

Customer success story

Optimising spares to streamline operations

Eastern Australia

Challenge

A supermajor operator managing onshore assets including wells, pipelines, midstream stations, an LNG plant and export terminal, needed to optimise its spare parts. This would allow the company to streamline operations, reduce excess inventory and allocate resources to safety and production improvements.

Solution

Wood deployed maintAI with several targeted objectives:

  • Spares optimisation: Reliability-based spares optimisation models were used to recommend new inventory re-order points across all upstream assets.
  • Interchangeability assessment: AI and an internal database helped identify equipment that could be used interchangeably.
  • Provide visibility: An asset reliability twin was developed to clarify areas with high duplication.
  • Inference: AI-driven models and the internal database filled data gaps where inventory parameters were missing.
Result
  • 42% reduction in inventory holding cost
  • Obsolescence spare analysis and strategy delivered
42%
reduction in inventory holding cost
8
weeks, from kick off to value
Challenge
Solution
Results

Wood optimised maintenance across all our assets, paid back project costs in six months and enabled transparency and trust.

Transition Manager
Confidential
Explore what maintAI can do for your asset