How can AI enhance business performance?

We helped the City of Fort Myers transform its capital planning with DREAMS (Dynamic Risk and Engineering Analytics Management System), a cloud-based decision support system that integrates analytics, machine learning, GIS and asset data to enable accurate, real-time decisions. Developed to address aging infrastructure, population growth, climate change and resource constraints, DREAMS provides risk modelling, hydraulic analysis, financial planning and project prioritisation through interactive dashboards. By improving data quality and enabling flexible, long-term planning, the system optimised assets, reduced operational risks and strengthened resilience, giving the city a scalable, cost-effective approach to meet current and future infrastructure needs.

Through solutions like the DREAMS platform, utilities can now integrate hydraulic modelling, capital planning and predictive analytics into a single, interactive dashboard. DREAMS enables utility managers to:

• Test short- and long-term planning scenarios based on local conditions and unique datasets.
• Predict maintenance needs and asset failures before they occur, reducing downtime and extending asset lifecycles.
• Prioritise capital investments by simulating the impact of various interventions, so limited budgets are allocated for maximum benefit.
• Enhance resilience against climate change and demographic shifts by modelling future risks and identifying optimal mitigation strategies.

DREAMS has been described as a “smart, digital city planner” for utilities, turning complex infrastructure data into actionable insights for city planners and asset managers. This approach is already helping utilities move from reactive to proactive maintenance, improving service reliability and sustainability.

Our partnership with Compass IoT has enabled the use of connected vehicle data to revolutionise transport analytics and road safety management. Real-time and historical vehicle data (from over 60 manufacturers) is aggregated and analysed to understand driver behaviour, road conditions and safety risks.

Use cases include:

• Level crossing safety analysis: AI identifies near-misses at over 1,200 level crossings by analysing harsh braking and steering events, helping authorities proactively address high-risk locations.
• Proactive road safety: Floating car data reveals patterns of harsh braking, swerving and near-misses at intersections, enabling traffic management councils  to implement targeted safety interventions.
• Freight efficiency: Analysis of road roughness, seal width and actual speeds helps optimise freight routes and infrastructure investments.
• Behavioural insights: Studies on the impact of variable message sign language on driver behaviour inform more effective safety communications.

 

We have delivered several port optimisation projects that harness AI, dynamic simulation and computer vision to improve operational efficiency and decision-making. Our approach can provide a clear view of how different development scenarios will perform before any physical changes occur. We use advanced simulation technology to help port authorities plan with confidence by modelling complex interactions between vessels, cargo flows and infrastructure.

Simulation-based design in action case study
A recent port enhancement project shows how simulation can transform planning. Our team created a digital twin of the existing port to test proposed modifications under real-world conditions. This allowed us to evaluate vessel movements, berth utilisation and cargo handling across multiple scenarios before construction began.

We integrated simulation from the earliest design phases, which helped the client to optimise dredge footprints, identify additional aids for navigation and define training requirements for future operations. The result was a balanced solution that met stakeholder needs without compromising operational efficiency.