Fiscal Intelligence Automation Platform

Organizations that depend on timely public policy and fiscal information often face a fragmented workflow of monitoring government publications, manually researching legislation, creating summaries, and distributing updates across multiple channels. This project transformed that manual process into a fully automated intelligence platform that continuously collects, processes, and delivers actionable insights using a scalable, cloud-native architecture.

Public fiscal reports and legislative documents are published across multiple government websites in different formats and at unpredictable intervals. Producing timely, accurate updates required manually monitoring new publications, researching related legislation, extracting key information from lengthy PDFs, preparing visual summaries, and publishing updates across multiple communication channels. The organization needed a reliable system capable of continuously monitoring new content, preserving source documents for auditing, generating consistent summaries, and reducing the time between publication and distribution while maintaining editorial confidence and operational reliability.

ThreeTech designed and developed a cloud-native automation platform on AWS that continuously monitors multiple government data sources, detects newly published fiscal reports, and orchestrates a series of independent processing pipelines through an event-driven architecture. When new content is detected, the platform automatically collects raw HTML and PDF source documents, preserves original files for auditing, extracts structured legislative and financial data, and enriches the information for downstream processing. AI-assisted workflows generate summaries, supporting narratives, and visual assets while maintaining a clear connection to the original source material for editorial review and verification. Beyond workflow automation, the platform establishes a scalable data engineering foundation that continuously ingests, enriches, stores, and distributes structured government intelligence for downstream reporting, publishing, and future analytical applications. Rather than relying on a single monolithic process, the solution uses loosely coupled AWS Lambda functions coordinated through Amazon EventBridge. This event-driven architecture allows each stage of the workflow to scale independently, recover gracefully from failures, and incorporate new capabilities without disrupting existing processing pipelines. Comprehensive monitoring, centralized logging, automated quality assurance, and historical data retention provide complete operational visibility while enabling historical reports to be regenerated as processing logic evolves. The resulting platform delivers a resilient foundation for expanding automation, analytics, and AI-assisted intelligence while dramatically reducing the manual effort required to transform government publications into timely, actionable insights.

The completed platform replaced a labor-intensive reporting process with an automated intelligence system capable of operating continuously with minimal manual intervention. Key outcomes included: • Automated monitoring of multiple public government data sources. • Faster publication of legislative and fiscal intelligence. • Reliable archival of source documents for verification and auditing. • Consistent generation of structured reports and visual summaries. • Event-driven cloud architecture capable of scaling as publication volume grows. • Built-in monitoring, alerting, and quality assurance to support long-term operational reliability. The resulting solution provides a modern foundation for expanding automation, analytics, and AI-assisted research & content generation while significantly reducing manual effort.