Government AI Governance & Research
Why It Matters
Federal mandates, OMB guidance, and NIST frameworks have established the what of AI governance. ThinkCapital's research program is focused on the harder questions: the how, the how much, and the how do we know. We work at the intersection of measurement science, organizational behavior, and government IT — producing frameworks practitioners can actually use.
ThinkCapital Research Initiatives
These are the current focus areas driving ThinkCapital's research agenda. Visit individual initiative pages to read full descriptions, track progress, or express your interest in participating.
Examining how the NIST AI Risk Management Framework is actually being adopted — or not — across federal and state agencies, and what factors predict successful operationalization.
What does meaningful human oversight of AI actually look like in operational government settings? We are developing measurable indicators and maturity criteria.
Applying Schelling-Granovetter threshold models to explain why identical AI initiatives succeed in some agencies and stall in others — and how to move the needle.
Developing empirical methods for measuring whether AI tools are delivering measurable productivity improvements in government mission contexts — not just technology metrics.
Advisory Services
ThinkCapital also provides direct advisory services to government agencies and their contractors navigating AI governance, technology investment decisions, and organizational readiness. Our work is grounded in the same measurement discipline as our research.
"The agencies that will lead in AI are not the ones that move fastest — they are the ones that measure best."
ThinkCapital Research Perspective
Get Involved
Whether you want to follow our research, participate in an initiative, or simply ask a question — the Engage page is where conversations begin.
Go to the Engage Page →