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.
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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
- • Argy Chat and Argy Code as references
- • LLM Gateway to secure calls
- • Module Studio to package workflows
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
View solutionCTO / VP Engineering
Scale enterprise AI without losing control.
Governed AI adoptionVendor independenceMeasurable time-to-value
View solutionSecurity & compliance
Govern AI and DevSecOps with evidence and sovereignty.
Compliance by designEnd-to-end AI traceabilityFewer exceptions
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