How are digital technologies playing a key role in your project planning and consultancy services?
Digital technology has become fundamental to modern project planning and consultancy. At Egis, we integrate digital tools across the project lifecycle, from feasibility and design to procurement, construction supervision, project management and asset operation. BIM enables multidisciplinary teams to work with a coordinated digital representation of the asset, improving design coordination, constructability and information management while identifying clashes and interfaces early. This is particularly valuable for complex infrastructure such as airports, where multiple systems and stakeholders must be coordinated.
We are also moving towards Common Data Environments (CDEs) to manage models, drawings, documents, approvals and revisions through structured workflows, creating a reliable information environment.
Looking ahead, Egis in India plans to introduce AI-enabled project management tools for planning, progress tracking, reporting, quality monitoring, risk identification and early detection of potential delays.
The objective is to combine BIM, CDE, data and AI to make project delivery more predictable, coordinated, transparent and proactive.
Which are the latest technology tools used by the company in its construction projects?
Our digital ecosystem includes BIM, CDE, 3D/4D/5D modelling, cloud-based collaboration platforms and digital project-management systems, selected according to project requirements.
We are also increasingly adopting AI tools such as Microsoft Copilot and Generative AI across design and project management. These are being explored for visualisation, information retrieval, document analysis, reporting, design optimisation, risk identification and knowledge management.
Going forward, integrating BIM, CDE, AI and data analytics will further enhance design quality, collaboration and project delivery.
Our approach is purpose-driven, we adopt technology where it solves real project challenges, improves efficiency and delivers better outcomes for clients.
How are these tools helping in the successful planning and execution of projects?
The biggest advantage of digital tools is that they help teams work faster, identify issues earlier and make better decisions. BIM enables multidisciplinary coordination and clash detection, helping identify conflicts between architectural, structural and MEP systems before construction, reducing rework, interface problems and delays. 4D BIM links the model with the construction programme, enabling teams to visualise sequencing, while 5D BIM connects quantities and costs with the model for better cost planning and change management.
CDE workflows provide controlled access to drawings, models, approvals and project records, improving traceability and ensuring teams use the latest information.
AI and data analytics further help identify trends, risks and potential issues. Overall, these tools make project delivery more proactive, predictive and efficient.
What is the role of data-driven decision-making in the organisation for integrated project delivery?
Data-driven decision making is becoming increasingly important in integrated project delivery. Modern infrastructure projects generate huge volumes of data, from BIM models, designs and schedules to costs, contracts, approvals, risks and site progress. The challenge is to connect this data and convert it into actionable insights.
We see data-driven project management as a key enabler for better decision making. Structured and accessible information gives managers a clearer view of progress, cost, schedule, risks and interfaces.
The focus is shifting from “What happened?” to “Why did it happen, what is likely to happen next, and what should we do?”. AI and predictive analytics can add value by identifying patterns and emerging risks. However, AI should support and not replace engineering expertise and management judgement. Good data, strong governance, validation and professional accountability remain essential.
How does a connected ecosystem play an important role in your project consultancy?
Large infrastructure projects involve a complex ecosystem of clients, consultants, contractors, suppliers, authorities and operators. A connected digital ecosystem helps bring these stakeholders together by ensuring the right information reaches the right people at the right time.
BIM is the digital representation of the asset and the CDE as the information-management backbone, connecting project controls, cost, schedules and site information.
This is particularly valuable in complex projects such as airports, where multiple systems and interfaces must work together. By managing these interfaces digitally, we can improve coordination, reduce information gaps and support better decision making.
Our long-term vision is to build connected project ecosystems and digital twins, enabling information generated during design and construction to continue delivering value throughout operation and maintenance.
What are the skill development initiatives for empowering the workforce with the latest digital tools and their applications in construction projects?
Technology transformation cannot succeed without workforce transformation. Therefore, we focus on developing skills in BIM, digital engineering, CDE workflows, data analytics, AI and digital project management.
Our approach goes beyond software training. We focus on how these technologies can solve real project challenges, improve planning, coordination and risk management.
We also encourage knowledge sharing between experienced professionals and younger digital talent, combining engineering expertise with digital capability to build a future-ready workforce.
How are you planning your journey ahead with digital innovations that can transform project management in the future?
We see AI playing an important role in the future of Project Management Consultancy, particularly during the supervision stage. We are exploring tools that can support progress planning and monitoring, reporting, quality management, documentation, risk identification and early detection of delays or deviations.
The larger objective is to create a more connected working environment for clients, design consultants, contractors, PMC teams and other stakeholders, enabling them to access relevant project information and respond to issues more quickly.
AI will help reduce routine manual effort and improve collaboration, while engineering expertise, professional judgement and accountability will remain at the centre. Our aim is to make project delivery more transparent, responsive and predictable.
