AI Workflow Automation for Government: Secure, Auditable Case Management

Description and use

<p>The most dangerous government AI strategy in 2026 is also the most fashionable: treating autonomy as the goal. </p> <p>In April 2026, GAO reported that federal agencies more than doubled AI use from 2023 to 2024, even as acquisition teams still faced gaps in technical expertise and cost visibility. </p> <p>Speed without control is not modernization. AI workflow automation must make consequential work faster while preserving who approved what, which evidence informed the decision, when a human intervened, and why. </p> <p>The production target is controlled automation: explicit approval stat

Problem

<p>The most dangerous government AI strategy in 2026 is also the most fashionable: treating autonomy as the goal. </p> <p>In April 2026, GAO reported that federal agencies more than doubled AI use from 2023 to 2024, even as acquisition teams still faced gaps in technical expertise and cost visibility. </p> <p>Speed without control is not modernization. AI workflow automation must make consequential work faster while preserving who approved what, which evidence informed the decision, when a human intervened, and why. </p> <p>The production target is controlled automation: explicit approval stat

Outcome

<p>The most dangerous government AI strategy in 2026 is also the most fashionable: treating autonomy as the goal. </p> <p>In April 2026, GAO reported that federal agencies more than doubled AI use from 2023 to 2024, even as acquisition teams still faced gaps in technical expertise and cost visibility. </p> <p>Speed without control is not modernization. AI workflow automation must make consequential work faster while preserving who approved what, which evidence informed the decision, when a human intervened, and why. </p> <p>The production target is controlled automation: explicit approval stat

Evidence

AI Workflow Automation for Government: Secure, Auditable Case Management

Source