Predict risks. Track progress. Avoid delays.
BuildNova Enterprise AI combines risk management and mitigation with project reporting to help EPC teams identify schedule risks early, forecast realistic completion dates, automate DPRs and monitor project progress in real time using AI for renewable energy.
See Enterprise AI in action
For potential schedule delays
Forecast accuracy
DPRs generated, down from hours
Proven across GW-scale projects
Manual progress tracking leaves risks hidden
EPC projects rarely fall behind all at once. Delays build through missed activities, slower execution rates, late materials and disconnected updates. When teams rely on spreadsheets, messages and periodic reviews to spot these signals, intervention often comes after the schedule has already taken a hit.
That leads to:
Late risk detection
Critical activities have already started slipping by the time the signal is visible.
Reactive recovery planning
Recovery requires more time, resources and cost once the schedule has taken a hit.
Hours spent preparing DPRs
Daily progress reports are assembled from scattered site updates and records.
Limited activity-level visibility
Between review cycles there is little view of what is progressing and what is not.
Completion forecasts based on assumptions
Projections rest on baseline dates rather than actual execution rates.
Disconnected schedule, cost and progress data
Performance is difficult to assess when the data sits in separate systems.
The issue isn’t your project controls team. It’s the fragmented, manual process they have to work with when lacking dedicated AI risk management software.
One project controls system.
Enterprise AI is BuildNova’s project controls and analytics suite, combining AI risk management with reporting and analytics. Built as advanced AI-powered project management software, it brings schedule, cost, execution and reporting data into one system, helping teams identify risks, forecast completion and act on project insights.
Designed as a control tower for the EPC lifecycle, Enterprise AI provides connected visibility across functions from pre-bid and engineering through procurement, construction, commissioning, handover and O&M. It can work as an independent solution while also integrating with other BuildNova AI modules where needed.
Core capability modules
AI-powered risk detection and mitigation
Identify lagging activities early by comparing planned schedules with actual execution rates. BuildNova highlights activities falling behind plan so project teams can focus attention where intervention is needed.
Schedule and cost intelligence
Bring schedule, cost and progress data together to identify variances and emerging project risks. Teams can see how execution performance is affecting planned timelines and project costs.
What-if simulation
Simulate resource, sequencing and acceleration scenarios to assess their impact on project timelines. Test recovery options before making changes to the live project schedule.
Realistic completion forecasting
Use actual execution data to generate realistic project completion forecasts. Probabilistic modelling helps teams assess achievable timelines instead of relying solely on baseline dates or assumptions.
Real-time progress tracking
Track project, discipline, activity, quantity, quality and procurement progress through live dashboards. Drill down into execution data to understand what is progressing as planned and where attention may be required.
Automated DPRs and reporting
Generate configurable Daily Progress Reports using data from site activities, attendance, materials, resources and weather conditions. Reduce manual reporting effort while giving project teams a consistent view of daily execution.
Contractor and resource analytics
Track contractor performance, manpower, equipment, daily outputs and site conditions across projects. Use this data to understand resource utilisation, contractor performance and execution trends at the site level.
Built around real EPC project controls
Proactive risk detection and mitigation, not just delay reporting.
Identify potential schedule risks from execution patterns and project data before they become critical-path problems.
Probabilistic forecasts, not single-point dates.
Use execution data and confidence-based forecasting to give teams a more realistic range for project completion.
Automated DPRs, not manual compilation.
Pull project data into configurable DPR formats so site teams spend less time assembling reports and more time reviewing them.
What-if analysis without changing the baseline.
Test resource, sequencing and recovery scenarios separately before making changes to the live project schedule.
Schedule, cost and progress in one view.
Bring core project-control data together to assess performance without switching between disconnected systems. Adapt dashboards, alerts and reporting workflows to project requirements.
Native to BuildNova AI.
Enterprise AI runs within the BuildNova platform alongside engineering and procurement capabilities, connecting project controls with the wider EPC workflow.
What automated project controls changes
Earlier risk visibility
Identify schedule deviations sooner, giving project, engineering and construction teams more time to intervene.
More realistic forecasts
Base completion projections on execution data and probability, helping management and downstream teams plan against achievable timelines.
Faster DPR cycles
Reduce the manual effort involved in compiling daily progress reports, giving construction, quality and project teams more time to focus on execution.
Smarter recovery planning
Compare resource, sequencing and acceleration strategies before committing changes to the project schedule.
Clearer cross-functional visibility
Bring schedule, cost, progress, procurement and execution data together so teams can work from a common project view.
Better decisions with what-if analysis
Evaluate potential changes and their schedule impact before they affect the live project plan.
Reduced exposure to schedule-related costs
Earlier risk identification and structured mitigation can help teams manage the operational and financial impact of delays.
Works across the EPC lifecycle
Enterprise AI can support visibility from pre-bid and engineering through procurement, construction, commissioning, handover and O&M, while integrating with the wider BuildNova environment where required.