This page describes how the GSA’s 10x team supported digital trust and security across federal services by building shared tools, automating compliance, and exploring privacy-preserving techniques.
A high-level primer that explains what it takes to stand up and operate an open-source, one-way government notification service for sending text messages and emails.
This portfolio page describes how the GSA’s 10x team invested in making federal data easier to find, use, and share—while preventing misuse and harm.
The GSA’s Service Design program implemented a data-driven evaluation process to enhance digital experiences, improve compliance, and streamline its website portfolio, achieving significant cost savings and customer-centric digital transformation.
This page describes the agency’s investments in digital tools and services aimed at reducing friction in how people find, apply for, and maintain eligibility for federal benefits.
A guide from the General Service Administration to help government decision makers clearly see what AI means for their agencies and how to invest and build AI capabilities.
This case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.
Programs like Medicaid and SNAP are managed at the federal level, administered at the state level, and often executed at the local level. Because there are so many in-betweens, there is significant duplicated effort, demonstrating the need to simplify eligibility rules to facilitate easier implementation.
It is frequently assumed that when rules are implemented as code, a rules engine is necessary. However, it is possible for policy people and engineers to effectively work together to code logic that drives technological system without needing a mediating rules engine at all.
