Slate Project Intelligence

See Risk Earlier. Deliver Projects Better.

Slate Project Intelligence connects directly to your Autodesk data to give construction teams AI-powered visibility into project health, risk, and performance. By analyzing schedule, cost, and historical project data, Slate surfaces early warning signs, lessons learned, and predictive insights so your team can catch issues before they become problems, make faster decisions, and keep projects on track from start to finish.

Features and Benefits

AI-powered project intelligence across your construction data

Leverage Autodesks data to surface actionable intelligence, empowering your team to make smarter, evidence-based decisions at every stage of the project.

Track Progress & Optimize Project Execution

Slate Project Intelligence uses a construction-specific AI model to analyze project, schedule, and financial data across your existing systems. By connecting information that typically lives in separate tools, Slate surfaces actionable insights that help teams make faster, more informed decisions.

Early detection of schedule and cost risk

Slate identifies patterns, anomalies, and risk signals across projects to highlight potential delays, change exposure, and cost drivers before they impact delivery. Teams gain the visibility needed to intervene earlier and reduce the likelihood of rework, disputes, and margin erosion.

Turn historical project data into predictive insight

Slate transforms past project data into usable intelligence by identifying recurring issues, lessons learned, and performance trends. These insights help inform future planning, improve forecasting accuracy, and support better decision-making during estimating, scheduling, and project execution.

Works across your existing construction technology stack

Slate integrates with leading construction platforms such as Autodesk and other project management, scheduling, and ERP systems—allowing organizations to unlock intelligence from their existing tools without changing workflows or building a centralized data warehouse.