Five Ways AI Can Accelerate Projects.
Teams around the world are using AI to speed things up and make fewer mistakes. These tools help with planning, public feedback, supply chains, rules and regulations, and keeping everyone informed. Here are five ways AI agents can help projects move faster and finish stronger.
1. Planning & Modelling: Always-updated scenarios using live data
By enabling dynamic modelling based on real-time data, AI will forever change infrastructure planning In Ireland. AI can rapidly analyse millions of design options to identify the most efficient solutions. Globally, cities like Singapore and Helsinki use AI-powered digital twins to simulate urban development and infrastructure stress points. Closer to home, ESB teamed up with EY and Akselos to build a cutting-edge digital twin of the Turlough Hill hydro station. It delivers real-time insights and predictive maintenance, helping extend asset life and reduce downtime. This innovation reinforces ESB’s leadership in sustainable energy and future-ready infrastructure.
2. Public Engagement:
Sorting and summarizing feedback for quicker consensus, Natural Language Processing (NLP) Tools are now helping governments analyse feedback from consultations and social media. In Dublin, Smart Dublin uses AI to interpret and respond to citizen sentiment from online platforms. In the UK, AI chatbots now answer public queries during major transport consultations.
3. Supply chains: what’s next?
AI platforms can forecast material demand and identify risk, helping supply chains become faster, smarter and more resilient. An Post in Ireland now uses AI to optimize delivery routes and anticipate logistics bottlenecks. AI platforms help large contractors in Australia track material availability and delivery delays. AI tools support better workforce and resource planning, helping teams align skills, schedules, and materials more effectively across projects.
4. Compliance: automatic updates:
AI is being used to monitor compliance with environmental and safety regulations. In Ireland, machine learning models assess biodiversity risks and pollutant levels during infrastructure planning. Across Europe, AI systems are being aligned with the EU AI Act to ensure automated risk. These platforms also support the creation of documentation required to meet government and EU policies, improving efficiency and accuracy when producing reports, permits, and other compliance materials.
5. Progress tracking
Real time project tracking is replacing manual reporting with predictive analytics on Infrastructure projects. In Ireland HubCap uses AI to monitor bus route efficiency and delays. Globally, platforms like EdrawMax AI analyse Gantt charts and provide automated updates, risk alerts, and optimisation suggestions for project managers. More sophisticated tools are also emerging that can simulate different project scenarios helping teams test options, anticipate challenges, and make better decisions before committing resources.
Borrowing AI best practise
Countries like Singapore, the UK and Australia are already using AI to solve the problems we face here. Singapore’s transport system uses live data to manage traffic and plan routes in real time. The UK is upgrading its national grid with AI tools that spot faults before they cause blackouts. In Australia, mining companies use AI to predict downtime and keep things moving. These systems are working well across the world, will work just as well in Ireland.
Governance –a tool to expedite vs a tick box exercise.
AI will help us move faster, but only if we build trust. That means protecting people’s data, making sure algorithms are clear and fair, and keeping humans in charge of final decisions. Ireland has already taken steps. The Government’s AI Guidelines for the Public Service require human oversight, transparency, and privacy protections for every AI tool used.The EU AI Act, now in force, sets rules for high-risk systems and demands regular checks for bias and accuracy
Pilot projects are underway across public services, with civil servants encouraged to test AI tools in safe, controlled settings. A phased rollout and strong governance are already happening. This has left the blueprint stage.