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Use cases / Building assistants and AI agents

Building assistants and AI agents

Argy provides the foundation to ship reliable agents: RAG context, controlled tools, and native governance.

AIAUTOMATIONGOVERNANCE

Context

Each team experiments with agents without a shared framework or data boundaries.

Argy solution

Governed agents connected to RAG, orchestrated by reusable modules and shared guardrails.

Key challenges

  • Isolated agents without standards
  • Risk of sensitive data leakage
  • Hard to move from POC to production

Argy approach

  • Governed agents with pre-action checks
  • Tenant-aware RAG for controlled context
  • Modules to package workflows as capabilities

Building blocks

Governance & sovereignty

  • Approvals and tool allowlists
  • Agent action audit trails
  • Multi-tenant isolation and access control

KPIs to track

  • Time-to-production
  • Agent success rate
  • Data incidents

Related solutions

How leaders frame this use case across teams.

Platform / SRE team

Build the AI OS on top of your existing platform.

Single LLM entry pointIndustrialized workflowsObservable execution
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CTO / VP Engineering

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Security & compliance

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