- Data residency.
- Specific jurisdictions, specific tenancies. Where the data sits, where the inference happens, where the logs are written. Each one is a policy decision before it is a technical one.
- Classification.
- Information lives at multiple classification levels with different handling requirements. The framework has to understand the boundary, not just respect it.
- Procurement.
- RFPs, RFIs, standing offers, sole-source justifications, master agreements. Vehicles that commercial vendors rarely think about and that public-sector buyers cannot work around.
- Oversight.
- Auditable inference, accountability traceability, role-based access. Every reasoning step has to be explainable to a body that did not run it.
- Sovereignty.
- Data and inference stay within sovereign control. Always. No third-party API call leaves the perimeter, no model weight crosses a border without authorization.
- Supply-chain assurance.
- Provenance of the framework, of the dependencies, of the operations team. Who built it, who maintains it, who has access to it across the lifecycle.
Standard SaaS AI fails this audience. Axiome was designed for it.