Case Study: Multi-State DOT Budget Harmonization

When three neighboring state DOTs realized they were duplicating effort on cross-border infrastructure projects, they turned to Scotty AI to create a unified financial intelligence layer.

The Challenge

Each state maintained its own budget systems, reporting formats, and fiscal calendars. Comparing spending across states on shared projects required weeks of manual data reconciliation. Federal grant reporting for multi-state programs was particularly painful.

The Approach

Each DOT connected its internal financial data to its own private Scotty instance—maintaining full data sovereignty. Scotty's harmonization layer then created a shared analytical view using only the data each state explicitly approved for cross-state visibility.

No state's sensitive data was exposed to another. But the shared view revealed patterns that no single state could see alone.

The Results

Within the first quarter, the three DOTs identified overlapping expenditures on a shared highway corridor, consolidated their federal grant reporting into a single automated workflow, and reduced cross-state budget reconciliation time from weeks to hours.

The project demonstrated that data sovereignty and cross-agency collaboration aren't mutually exclusive—they just require the right architecture.