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AI, Can! — Sovereign AI Governance for AI Agents and Production AI Systems

โดย Artemis Industries

Azure Managed Application that deploys secure, MCP-aligned, production-grade AI agent infrastructure

AI, Can! — Governed, sovereign AI agent infrastructure, deployed to your Azure tenant in under 15 minutes.


AI, Can! is an AI governance platform delivered as an Azure Managed Application.

It stands up a secure, Model Context Protocol (MCP)-native environment for production AI agents inside your own Azure subscription — with auditability, access control, and data sovereignty built in from the first deployment, not bolted on later.
For regulated organizations and the software builders who serve them, this is the difference between months of platform engineering and a governed AI foundation ready today.

Governance and sovereignty first

Every agent interaction and model call is logged with caller identity, model version, and input/output hash. This auditable record is designed to serve as evidence for frameworks including the EU AI Act, SOC 2, and NIST AI RMF — turning AI oversight into a continuous, queryable trail rather than a periodic scramble. All data, encryption keys, secrets, and inference remain inside your Azure tenant, governed by your security policies. Nothing transits a shared SaaS plane, so in-perimeter data residency and sovereignty hold by design.

Why it matters for regulated industries

Financial services, healthcare, and public-sector teams often find shared-tenant SaaS disqualifying. AI, Can! delivers a sovereign, in-perimeter deployment model where governance is enforced by the infrastructure itself —
an audit-ready environment for AI workloads that compliance and security teams can actually approve.

Built for software builders and SIs

Engineering teams, AI-native startups, and system integrators get a production-grade hosting platform for AI agents without standing up a platform-engineering function. You ship agents; AI, Can! owns the secure cloud foundation.

From subscribe to production


  • Subscribe — Microsoft License Terms with billing through your existing Microsoft Azure Consumption Commitment (MACC) where eligible.
  • Deploy — A Bicep template provisions a hub-and-spoke Zero-Trust virtual network, Azure Firewall, API Management (APIM), Key Vault, Cosmos DB, Log Analytics, and Microsoft Defender for Cloud, with RBAC enabled — all wired together.
  • Connect — Foundry resources and models, plus App Service and APIM sockets to connect your AI agents and MCP servers and tools. Managed identity, secrets management, and audit logging are already in place.
  • Promote — Pre-configured CI/CD pipelines build agents, MCP tools, and supporting app services into the same environment — no separate hardening sprint.
  • Operate — Observability via Log Analytics, Defender for Cloud, and APIM telemetry, with full call-level logging.

Use cases


  • Production AI agents — Deploy into hardened Azure infrastructure with no separate platform-engineering project.
  • Multi-agent & MCP-native systems — APIM serves as the policy and identity gateway, so complex agent pipelines run from day one.
  • Regulated-sector AI sandbox — Run AI where shared-tenant SaaS is disqualifying; all inference stays in-tenant.
  • Research & academic infrastructure — A shared hub with isolated per-project spokes gives each principal investigator a grant-auditable environment aligned with Horizon Europe and national-funder expectations.
  • Enterprise consolidation — Eliminate shadow AI with one governed, sovereign environment for AI agents across the organization.

Stop rebuilding the same secure foundation.


Deploy governed AI infrastructure your auditors, your security team, and your engineers can all stand behind.


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