A structured 12-minute assessment that maps where AI can reduce cost, improve safety, and transform operations across your transportation agency — scored, ranked, and ready to act on.
State and local DOTs face mounting pressure to do more with less — and a December 2026 FHWA compliance deadline that changes everything. This assessment tells you exactly where to start.
Understand your organization's current maturity across five AI readiness dimensions — from data quality to process standardization — and know exactly what gaps to close first.
Map your AI opportunities to SMART grants, FHWA Accelerated Innovation Deployment, and HSIP funding. Position your agency to win the right funding for the right projects.
Identify which repetitive, manual processes are most automatable with AI — and estimate how much staff capacity could be freed for higher-value work.
Surface the data governance, workforce readiness, and technology integration risks that could derail an AI deployment before you commit resources.
Discover how AI crash detection, predictive work zone safety, and compliance automation can support your SHSP targets and FHWA December 2026 requirements.
Walk away with a prioritized, realistic roadmap — not a generic framework. Your report identifies specific first pilots and the exact steps to deployment.
Designed for professionals inside state DOTs, local transportation authorities, and transit agencies — across all functional areas.
Statewide agencies managing highways, bridges, transit, and safety programs under federal compliance requirements including FHWA mandates, HSIP reporting, and the December 2026 Work Zone Safety Rule.
Municipal and county transportation offices managing arterial networks, signal systems, local transit, and community mobility programs with constrained budgets and growing service demands.
Regional transit agencies exploring AI for fleet maintenance, demand forecasting, AI-powered passenger experience, and smart mobility — from predictive scheduling to real-time operations.
CIO offices, data teams, and innovation offices evaluating intelligent transportation systems AI, ZILM-powered platforms, and AI copilots for agency-wide digital transformation.
No technical knowledge required. Designed for transportation professionals, not data scientists.
Choose your DOT division. The survey tailors automatically to your specific work area and responsibilities.
Rate pain points, data quality, and process maturity in plain language. No AI expertise needed. Takes 12 minutes.
ZILM scores your AI Opportunity, Value, and Feasibility across five weighted dimensions of readiness.
Ranked use cases, a priority matrix, and a 90-day action roadmap specific to your office and data environment.
Your AI Opportunity Report is built for transportation leaders — actionable, specific to your office, and ready to share with leadership or use in a federal funding application.
These are the AI opportunities evaluated across 14 DOT offices. Your assessment identifies which ones are ready to deploy for your specific office and data environment.
ML models that predict congestion up to 2 hours ahead using probe data, incident feeds, and weather overlays.
Computer vision to detect incidents faster and identify high-injury network locations from crash pattern data.
AI distress detection from imagery and ML treatment optimization to extend asset life and reduce reactive costs.
ML-driven signal timing that responds to real-time conditions — moving beyond fixed-time plans for good.
Natural language interfaces for DOT planners to query complex datasets and generate NEPA-ready summaries.
AI-powered HPMS, HSIP, and TPM report generation — reducing 40+ hours/month of manual reporting to minutes.
IoT sensors and AI worker proximity alerts that predict and prevent work zone incidents before December 2026.
Multimodal AI synthesizing traffic, demographic, environmental, and funding data for capital investment decisions.
Natural language AI handling public inquiries, translating multilingual communications, and personalizing travel info.
Written for transportation decision-makers — not data scientists.
Join transportation agencies across the country using data-driven AI assessment to prioritize investments, align with federal funding, and build a credible AI roadmap.