Accelerating EPC Performance with Technology, Governance, and Intelligence

 

Arindam Singha Roy, CIO & DPO, ADAA Group

In EPC, success is measured by project delivery, asset utilization, and operational efficiency. The technology strategy of Adaa Group reflects these priorities by enabling connectivity-independent operations, linking governance directly to project outcomes, and leveraging AI-powered intelligence to anticipate challenges before they impact execution. This approach ensures technology remains a strategic enabler of project excellence.

 

Resilient Infrastructure and Software Asset Management
For us, resilience is defined by "Connectivity-Independent Operations." We invest in Edge Computing architectures that allow our remote project sites to function as autonomous digital units during network outages. Value maximization is achieved through a "Reuse-Before-Buy" philosophy, leveraging modular cloud components that can be repurposed across different project lifecycles.

We treat IT investments like heavy machinery: they are evaluated based on their lifecycle cost, their ability to withstand harsh field environments, and their long-term contribution to our "Digital Asset Library," ensuring we are not just buying software, but building institutional knowledge.

 

Governance That Delivers Project Performance
In the EPC landscape, governance must mirror the precision of structural engineering. We have transitioned to a model, where IT compliance is directly linked to Daily Progress Reports (DPRs). By implementing automated data-validation layers, we ensure that the "Earned Value" reported to the board is backed by immutable digital records.

Our governance framework is not a static manual; it’s a dynamic system that measures IT success by its ability to reduce "idle-time" on-site and optimize equipment utilization. This results-oriented approach ensures that every technology Rupee spent translates into a tangible reduction in project delivery timelines.

 

Focusing on Decision-Science Upskilling
We are moving beyond theoretical AI to "Applied Field Intelligence." Our workforce is being trained to use AI for predictive "Clash Detection" in designs and automated "Safety Audits" via drone feeds. We have launched an internal AI-Co-Pilot initiative that assists our procurement and site engineers in navigating complex supply chain volatilities.

Rather than broad-based coding classes, we focus on Decision-Science Upskilling—empowering our team to use AI as a diagnostic tool that predicts structural stress or logistical bottlenecks before they manifest, making our engineers more proactive and data-literate.