From insight to action: turning digital investment into operational value

Organisations that connect operational and enterprise data, embed intelligence into workflows, build workforce trust, and establish clear governance will be best positioned to convert digital ambition into lasting operational value, says Lula Mohanty, managing partner for Middle East & Africa at IBM Consulting

Digital modernisation remains a priority for oil and gas companies across the Middle East, with significant investments in connectivity, automation and AI. Yet many organisations still struggle to translate these investments into faster decisions, more resilient operations and consistent performance improvements at scale. For energy leaders, the priority is no longer simply deploying digital technologies, but ensuring those investments deliver measurable operational value.

New research from the IBM Institute for Business Value, based on surveys of more than 750 C-suite and senior executives across the chemicals and oil and gas industries, highlights the gap between digital ambition and operational impact. While three in five organisations globally are scaling or embedding digital initiatives, only 8% say digital transformation is fully integrated and driving competitive advantage.

The stakes are significant: oil and gas organisations with more advanced digital deployment report 23% less production deferment, 16% less non-productive time and 13% lower operational costs. For companies that haven’t closed the gap, realising those potential gains remains challenging

This gap reflects a broader challenge. Generating intelligence is no longer the hard part: many organisations already have dashboards, analytics, digital twins and AI-enabled insights. The harder task is making sure those insights consistently shape operational decisions and actions. Value is created when intelligence becomes part of workflows, maintenance activities, production planning and frontline decision-making, supported by connected systems, workforce capabilities and clear governance.

Turning digital capabilities into operational outcomes

Those gains are increasingly within reach. The IBM research shows that globally 84% of oil and gas respondents report deploying digital production optimisation across many sites or enterprise-wide, highlighting the growing focus on translating digital capabilities into repeatable operational performance.

These findings reinforce why digital transformation should be measured by operational outcomes rather than the number of technologies deployed. Predictive analytics, digital twins and AI can help organisations anticipate disruptions, optimise production and improve asset reliability. However, their value depends on whether these insights influence decisions and actions across the business.

For oil and gas companies operating across complex and geographically distributed assets, this requires stronger connections between operational technology (OT) and information technology (IT). When operational and enterprise data remain fragmented, decisions take longer and opportunities to improve performance can be missed. Integrating these environments creates the foundation for better visibility, more coordinated responses and the responsible adoption of automation and AI.

Workforce readiness is essential to scaling transformation

Technology integration alone is not enough. Organisations must also equip employees with the capabilities and confidence to apply digital intelligence in their daily work.

This remains a challenge across the Middle East. IBM’s research finds that only 25% of UAE and Saudi respondents describe their workforce as mostly ready or fully capable of supporting digital transformation, compared with 35% globally.

For energy leaders, addressing this gap requires more than technical training. It means investing in change management, developing cross-functional capabilities and ensuring that engineers, operators and technology teams can work together to translate insights into action.

Embedding intelligence into maintenance planning, production optimization and operational workflows can help employees make more informed decisions. The objective should be to make digital capabilities part of how work gets done, rather than additional tools that operate alongside existing processes.

Governance is critical to sustainable performance

As organisations embed AI and automation more deeply into their operations, governance becomes essential. Clear accountability, defined decision rights and appropriate human oversight are what allow digital capabilities to scale responsibly.

Trust is central to this shift. Many organisations have established confidence in their operational data; the harder part can be developing trust in the recommendations, predictions and actions generated from it. That confidence grows when recommendations consistently deliver better outcomes and when accountability and oversight remain clearly defined. Without trust, intelligence may inform decisions, but it rarely changes them.

Middle East organisations are taking a measured approach to autonomy: only 20% report that agentic AI currently executes defined actions autonomously under human oversight, compared with 36% globally. Rather than treating autonomy as an end goal, energy companies should identify where automation improves efficiency and where human expertise remains necessary.

Governance should also extend beyond technology. Aligning operations, engineering, IT and cybersecurity teams around shared performance objectives keeps digital initiatives tied to operational priorities and helps deliver improvements that can be replicated across sites and assets.

From digital ambition to operational impact

For Middle East energy companies, the next phase of digital transformation should focus on turning existing investments into measurable and sustained performance improvements.

This starts with prioritising operational challenges where technology can deliver tangible results, such as reducing downtime, improving production efficiency and strengthening asset reliability. It also requires connecting operational and enterprise data, equipping employees to act on digital insights and establishing clear governance and accountability.

Ultimately, success will be defined by how effectively energy companies turn intelligence into execution. Organisations that connect operational and enterprise data, embed intelligence into workflows, build workforce trust, and establish clear governance will be best positioned to convert digital ambition into lasting operational value.