AI Economics for GovTech & Public Sector
Government technology carries decades of legacy debt, strict compliance requirements, and citizen-facing reliability demands. The economic stakes are uniquely high.
Legacy Mainframe Systems
Government mainframes built on COBOL carry the highest technical debt loads. Modernization is complex and high-risk.
FedRAMP & FISMA
Federal security requirements (FedRAMP, FISMA, CMMC) create compliance-driven engineering costs that are 2-5x higher than commercial equivalents.
AI Procurement & Ethics
Government AI deployments face strict procurement rules, algorithmic bias scrutiny, and transparency requirements that commercial AI rarely encounters.
Citizen-Facing Reliability
Systems that process benefits, taxes, and permits cannot fail. Downtime has real human consequences, making availability requirements extraordinarily high.
How I Help GovTech Organizations
- → Quantify legacy system modernization costs and timeline risks
- → Evaluate AI procurement decisions through an economics lens
- → Calculate compliance-driven engineering overhead (FedRAMP, FISMA, CMMC)
- → Design phased modernization plans that minimize citizen-facing risk
Need a sector-specific audit?
I run R&D capital audits tailored to your industry's cost structures, compliance requirements, and scaling patterns.
Richard Ewing — AI Economist & Capital Auditor