Use cases / Standardizing multi-team delivery
Standardizing multi-team delivery
Argy brings shared standardization without blocking team autonomy.
Context
Every team does it 'their way': pipelines, conventions, gates, environments... hard to govern.
Argy solution
Versioned and configurable patterns, applied per environment and per product.
Key challenges
- • Fragmented practices and tooling
- • Non-reproducible releases
- • Difficult to audit or compare
Argy approach
- • Versioned golden paths by domain
- • Unified config schemas
- • Adoption metrics and feedback loops
Building blocks
- • Module catalog + versioning
- • Policies and quality gates
- • Standardized observability
Governance & sovereignty
- • Audit of deviations and exceptions
- • Approvals for variations
- • RBAC with clear ownership
KPIs to track
- • Drift incidents
- • Release predictability
- • Onboarding time
Related automations
Example workflows you can assemble for this use case.
Generic automation model
Steps
- • Standard module template
- • Environment provisioning
- • CI/CD + quality gates
Outcomes
- • Reusable workflow
- • Built-in governance
Create a standard application environment
Steps
- • Provisioning
- • Guardrails
- • Observability baseline
Outcomes
- • Environment ready in minutes
- • Compliance by default
Explore more in automatable actions.
Related solutions
How leaders frame this use case across teams.
Platform / SRE team
Build the AI OS on top of your existing platform.
CTO / VP Engineering
Scale enterprise AI without losing control.
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