Published: Jul 07, 2025

Steps to success for future-ready asset intelligence

Part 5 – Asset intelligence: An NCS whitepaper

For organisations in asset-intensive sectors, embracing AI requires more than isolated innovation – it demands a strategic, future-ready approach. 

In this final part of our asset management whitepaper, we share clear steps to support you and your business with succeeding in achieving future-ready asset intelligence.
 

Steps to future-ready your business 

 Start by identifying high-impact operational pain points where AI can unlock immediate value. A data readiness assessment is essential to determine what can be measured, modelled, and improved. Pilot projects with clear ROI can demonstrate quick wins and help build internal momentum.
 

Get your foundations right 

Equally important is laying the right foundations for scale and governance. That includes: 

1. Establishing AI governance and trust 
   Define policies for the ethical use of AI and GenAI – covering privacy, transparency, fairness and security. These should align with industry standards and compliance requirements.

   
   “IDC predicts that by 2026, 25% of organisations will adopt AI-enabled risk and compliance solutions for real-time monitoring and prediction of non-compliance.“

    
2. Building a robust data value chain 
   Develop a comprehensive data governance framework to ensure data quality, traceability, and compliance. Reliable, trustworthy data is the backbone of effective AI systems
    
3. Aligning build-vs-buy decisions with long-term goals Whether building AI capabilities in-house or procuring off-the-shelf solutions, choices should align with your broader transformation roadmap. Balancing cost, capability, and agility is key.
    
4. Evaluating value and building for the future 
   Identify metrics and KPIs to measure the value of AI solutions – whether it's cost savings, efficiency gains, improved decision-making, or competitive advantage you are after. Continuously monitor performance and adapt strategies based on real-world data.
    
5. Investing in people and culture 
   Across the organisation increase awareness and understanding of AI technologies. At NCS we have provided upskilling and training in AI along with productivity boosting tools to around 13,000 employees. A key lesson learnt working with clients is the effectiveness of assembling cross-functional teams that foster collaboration between IT and OT functions.

Organisations that start with clear intent, strong governance, and scalable infrastructure will be best positioned to unlock AI’s full potential in operations and asset management. 

As part of this commitment, we’re excited to offer the NCS AI–Digital Resilience Diagnostic Tool – designed to help you assess your organisation’s AI readiness and uncover strategic opportunities for implementation.
 

Taking the next step 

Now is the time to act. By defining your priority challenges, mobilising your data, and working with experienced technology partners, you can unlock new levels of performance and sustainability in your asset operations. 

Reach out to our team today if we can support you and your business on your transformation journey.