Use cases
From DevSecOps to enterprise AI adoption, with measurable outcomes.
Industrializing DevSecOps (first use case)
Security comes too late: checklists, exceptions, and end-of-cycle rework.
Argy's first use case: standardized DevSecOps workflows codified in versioned modules, with approvals, auditability, and traceable execution.
Less rework, Explicit decisions, Measurable maturity
Governing enterprise AI
POCs multiply, API keys sprawl, and costs and risks are hard to control.
A single LLM Gateway with quotas, audit, filters, and tenant-aware RAG to keep usage under control.
Controlled AI adoption, Full traceability, Vendor independence
Building assistants and AI agents
Each team experiments with agents without a shared framework or data boundaries.
Governed agents connected to RAG, orchestrated by reusable modules and shared guardrails.
Faster production rollout, Reusable workflows, Preserved confidentiality
Launching an IDP for a scale-up
A small platform team, high demand, and pressure to deliver without breaking production.
Argy provides a self-service experience with ready-to-configure 'golden path' modules.
Faster time-to-value, Fewer Ops/SecOps tickets, Adopted standards
Standardizing multi-team delivery
Every team does it 'their way': pipelines, conventions, gates, environments... hard to govern.
Versioned and configurable golden paths, applied per environment and per product.
More predictable releases, Reduced drift, Faster onboarding
Reducing Ops/SecOps tickets
Ops teams become a bottleneck: access, environments, recurring changes.
Controlled self-service via modules + approval policies: standardized, automated, traceable requests.
Fewer manual requests, Better quality of service, Traceability
Accelerating environment provisioning
Creating an environment is slow, and the result is never identical.
Environment models (Dev/Staging/Prod) with schema-driven configuration and guardrails.
Faster provisioning, Reproducibility, Integrated controls
Steering execution (SLOs, observability, FinOps)
Lack of steering loops: reliability, costs, incidents. Rituals are not standardized.
Dashboards (DORA, SLOs), drift detection, incident management, and AI quota steering (tokens).
Better reliability, Controlled costs, Continuous improvement
Regulated banking & fintech
Strict audit requirements, manual validations, and a high compliance burden.
Embedded policies, traceable approvals, and centralized execution evidence per tenant.
Continuous compliance, Fewer manual checks, End-to-end traceability
Healthcare & sensitive data
Strong GDPR constraints, segmented access, and protected internal data.
Multi-tenant isolation, tenant-aware RAG, and an LLM Gateway with filtering and auditability.
Protected data, Controlled access, Governed AI usage
Industrial & multi-site IoT
Heterogeneous sites, multiple environments, and complex governance.
Standardized golden paths + on-site agents to execute locally.
Multi-site standardization, Consistent deployments, Governed local execution
European SaaS
GDPR compliant & hosted in EU
No Lock-in
Built on open standards
API-First
Everything is automatable
Ready to get started with Argy?
Start with the Free plan. Upgrade when you're ready, or contact us for an enterprise rollout.