# AI procurement insights

Rangoon Insights reporting and guides tagged AI procurement.

Canonical: https://rangoon.ai/insights/tags/ai-procurement/

## Topics
- [Agent systems](https://rangoon.ai/insights/topics/agents/): Agent runtimes, handoffs, tools, and the boundaries that make them reviewable.
- [Governance](https://rangoon.ai/insights/topics/governance/): Policy, identity, authorization, approvals, and evidence for consequential work.
- [Infrastructure](https://rangoon.ai/insights/topics/infrastructure/): Model serving, sandboxes, tool services, and deployment boundaries.
- [Models](https://rangoon.ai/insights/topics/models/): Inference choices, local serving, compatibility, and operational tradeoffs.

## Stories
- [UK republished PPN 017 under new procurement terminology while preserving its optional AI-transparency questions](https://rangoon.ai/insights/archive-uk-ppn-017-ai-procurement-transparency-february-2025/)
  The UK’s February 17, 2025 PPN 017 update retained optional questions for surfacing AI use while aligning terminology and timing with the new procurement regime.
- [UK’s AI Playbook expanded government guidance to ten principles across selection, deployment and assurance](https://rangoon.ai/insights/archive-uk-government-ai-playbook-february-2025/)
  The UK’s February 10, 2025 AI Playbook updated earlier generative-AI guidance with ten principles for public-sector AI selection, deployment and assurance.
- [OMB M-25-22 treated AI procurement as an acquisition evidence problem](https://rangoon.ai/insights/archive-omb-m-25-22-ai-procurement-april-2025/)
  OMB Memorandum M-25-22, dated April 3, 2025, addressed efficient federal AI acquisition and separated purchasing discipline from agency-use governance.
- [Oklahoma’s BEACON platform puts shared AI infrastructure behind agency workflows](https://rangoon.ai/insights/oklahoma-beacon-shared-government-ai/)
  Oklahoma’s BEACON launch brings rules review and procurement guidance into a shared AI platform. What agency teams should verify before expanding access.


## More information

- [Documentation index](https://rangoon.ai/llms.txt)
- [AI access and policies](https://rangoon.ai/ai/)
- [Source repository](https://github.com/hypler-dev/rangoon)