Solutions / CTO / VP Engineering
CTO / VP Engineering
Scale enterprise AI without losing control.
Argy structures AI adoption as a platform product: an OS that governs models, agents, and workflows end-to-end.
Outcomes
- • Governed AI adoption
- • Vendor independence
- • Measurable time-to-value
Typical automations
KPIs to track
- • AI adoption rate
- • Cost per AI workflow
- • Lead time
Priorities
- • Industrialize repeatable AI use cases
- • Avoid vendor lock-in and key sprawl
- • Keep compliance and auditability clear
Argy approach
- • A single entry point through the LLM Gateway
- • Governed agents connected to RAG
- • Modules that turn workflows into capabilities
Key building blocks
- • LLM Gateway with multi-provider routing
- • Tenant-aware RAG and shared scopes
- • Module catalog and golden paths
Governance & sovereignty
- • Quotas, credits, and alerts per tenant
- • Full request audit trail
- • SaaS, hybrid, or on-prem for sovereignty
Direct answers
What does Argy do for a CTO?
It turns AI into a platform product: an OS that governs models, agents, and workflows with measurable ROI.
How fast can we see ROI?
As soon as the first AI workflows and golden paths go live: less friction, more control, faster adoption.
Related use cases
Explore concrete scenarios aligned with this solution.
Governing enterprise AI
Argy becomes the governance layer between teams and models: one entry point, shared rules, and predictable costs.
Building assistants and AI agents
Argy provides the foundation to ship reliable agents: RAG context, controlled tools, and native governance.
Industrializing DevSecOps (first use case)
Argy turns DevSecOps into a product capability: every workflow is standardized, governed, and auditable without slowing teams down.
Next step: request a demo or view pricing.