Engineering, Procurement and Construction (EPC) projects are becoming increasingly complex, involving multiple stakeholders, extensive documentation, interconnected workflows, and continuously evolving project conditions. While digital project management platforms have improved visibility, traditional monitoring methods still rely heavily on periodic status updates and dashboards, limiting the ability to identify risks before they impact project schedules and costs. As EPC organisations pursue greater efficiency, predictability, and collaboration, artificial intelligence (AI) is emerging as a practical tool for transforming project execution through real-time data analysis, predictive insights, and intelligent decision support.
Wrench Solutions has been at the forefront of digital transformation in the EPC industry for more than 27 years. Headquartered in Bengaluru, the company provides project management solutions that integrate engineering, procurement, construction, document management, workflows, and project controls on a single platform. Its flagship solution, SmartProject, has been deployed across more than 12,000 projects in 45 countries, enabling project stakeholders to collaborate using a common source of truth while improving transparency, accountability, and execution efficiency.
Building on its extensive project experience, Wrench Solutions has introduced AI-powered capabilities, including the AI Control Tower and productivity AI agents for technical reviews, bid analysis, and contract management. These solutions analyse real-time transactional data generated throughout project execution to detect deviations, identify risks, recommend corrective actions, and support informed decision-making. By shifting project teams from reactive reporting to proactive project control, AI is helping EPC organisations improve schedule predictability, manage uncertainties, and enhance overall project performance.
Constrofacilitator recently interacted with Varghese Daniel, Co-founder and CEO of Wrench Solutions, to discuss how AI is reshaping EPC project management. During the interview, he shared insights on overcoming data challenges, managing project risks through predictive intelligence, improving stakeholder collaboration, balancing automation with project-specific compliance requirements, and leveraging decades of project execution knowledge to build AI solutions for the future of the EPC industry.
Here are the excerpts from the interview.
EPC projects generate massive data across stakeholders. Why is traditional monitoring insufficient, and how can AI improve project control?
Traditional monitoring relies on dashboards that capture periodic status updates, often manually consolidated. While this gives visibility, it lacks depth for decision-making. AI changes this by working on real-time, transactional data captured across project workflows. It can detect deviations, identify bottlenecks, and generate early warnings. This enables project teams to move from reactive reporting to proactive control. In a sector like EPC—where delays cascade quickly—this shift is critical for improving predictability, coordination, and overall project performance.
External factors like weather, vendor capacity, and global supply cycles often disrupt EPC timelines. Can AI realistically help manage these uncertainties?
Yes, because AI can analyse both internal project data and external variables together. For example, a delay in procurement can be evaluated against seasonal risks like monsoons in India or global vendor constraints. AI can simulate downstream impacts and identify compounded delays early. This allows teams to take preventive actions—such as resequencing work, securing alternate vendors, or adjusting timelines. Instead of reacting to disruptions, organizations can anticipate and mitigate them, which is a major shift in how EPC risks are managed.
The EPC industry has been slow in adopting AI due to data challenges. How is Wrench Solutions addressing this barrier?
The biggest challenge is not AI itself, but the quality and nature of data available. Most systems rely on manually entered status data, which limits AI’s effectiveness. At Wrench Solutions, the platform captures real-time transactional data directly from project execution—across engineering, procurement, and construction workflows. This ensures data accuracy and completeness. AI models built on this foundation can deliver meaningful insights, early warnings, and corrective recommendations, making AI adoption far more practical and valuable for EPC organizations.
What are the key AI innovations introduced recently, and how do they improve project outcomes?
Our most significant innovation is the AI Control Tower, which transforms traditional monitoring into proactive project control. It continuously analyses real-time project data to identify missed milestones, predict risks, and recommend corrective actions. Additionally, we have introduced Productivity AI agents for technical review, bid analysis, and contract management—areas that are document-intensive and time-consuming. These innovations not only improve project visibility but also enhance productivity and accuracy. Together, they enable EPC teams to act earlier, make better decisions, and maintain tighter control over project execution.
AI Control Tower helps teams act sooner and smarter, while productivity agents ensure work gets done faster—with better quality and consistency.
There are concerns that AI may reduce human dependency in EPC projects. How do you see workforce roles evolving?
AI is not replacing human expertise—it is augmenting it. Today, project teams spend significant time on tracking, reporting, and coordination. AI reduces this burden by automating monitoring and providing clear action points. This allows professionals to focus on decision-making and execution. The same teams can handle more projects with better efficiency and less stress. Importantly, systems are designed with a human-in-the-loop approach, where AI supports decisions but does not replace them. The outcome is a more productive, skilled, and empowered workforce.
Multi-stakeholder EPC projects mean conflicting priorities, not just conflicting data. How does Wrench SmartProject manage organizational complexity, not just information complexity?
One of the biggest challenges in EPC projects is not the lack of information, but the alignment of multiple stakeholders with different objectives, responsibilities, and success metrics. Our approach has always been to create a common execution platform where owners, consultants, contractors, vendors, and project teams work from a single source of truth. SmartProject captures every transaction, decision, approval, and deliverable in real time, ensuring accountability and transparency. More importantly, it aligns stakeholders around project outcomes, enabling faster decisions, reducing disputes, and improving collaboration throughout the project lifecycle.
Every EPC contract is unique. How does Wrench balance intelligent automation with the highly customized compliance and reporting demands each client brings?
No two EPC projects are identical. Different industries, geographies, contract structures, and customer requirements demand flexibility. From the beginning, we designed SmartProject as a configurable platform rather than a rigid software product. Our AI and automation capabilities operate within customer-defined workflows, approval hierarchies, compliance requirements, and reporting formats. This allows organizations to leverage automation without compromising contractual obligations or governance standards. The objective is not to force standardization where it doesn’t fit, but to provide intelligent assistance that adapts to the unique execution framework of each project.
12,000+ projects across 45 countries is a remarkable dataset. How is Wrench turning that proprietary project intelligence into a competitive advantage that newer players simply can’t replicate?
Over the last 27 years, we have accumulated deep project execution knowledge across industries, geographies, and project types. What makes this valuable is not just the volume of data, but the context behind it—the decisions made, risks encountered, delays prevented, and outcomes achieved. This experience forms the foundation of our AI initiatives. By analysing patterns across thousands of projects, we can identify early warning signals, recommend corrective actions, and improve decision-making accuracy. While technology can be replicated, decades of real-world project intelligence and domain expertise are far more difficult to recreate, making it a significant competitive advantage for us.
