Meet Argy, the turnkey Platform Engineering solution
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Services

End-to-end support to build platforms that accelerate delivery and strengthen risk control.

We design the platform as a control layer: standardised delivery, traceable decisions, protected critical data and automatable checks — with clear governance and no unrealistic promises.

  • Industrialise delivery (golden paths, templates, self-service) while reducing cognitive load.
  • Embed security, traceability and evidence into the delivery chain (DevSecOps by design).
  • Enable risk teams with auditable data & model governance foundations (monitoring, XAI, lifecycle).
Illustration of an end-to-end delivery flow

Service lines

Four complementary pillars, designed to work together in real enterprise contexts.

Platform Engineering

Internal platforms and golden paths to standardise delivery and reduce operational variance at scale.

  • Internal Developer Platform (IDP) scope & product strategy
  • Golden paths, templates and self-service workflows
  • Adoption model, KPIs and platform enablement

DevSecOps

Security and compliance embedded into the delivery chain: policies, guardrails and evidence by design.

  • CI/CD hardening and supply-chain security
  • Infrastructure as Code and policy-as-code
  • Audit trails and automated control points

Cloud Native

Cloud-native foundations with an operating model built for control, traceability and critical data protection.

  • Cloud operating model (ownership, runbooks, SLOs)
  • Data access controls, segregation of duties, lineage
  • Monitoring, resilience and risk-relevant observability

AI Strategy

AI components for finance and risk with robust governance: documentation, testing, monitoring and explainability.

  • Risk analytics: anomaly detection & early warning indicators
  • Model governance (XAI, lifecycle, approvals, monitoring)
  • AI integration patterns (RAG, private deployments) where relevant

Need a tailored engagement?

We start with a short discovery to map constraints (security, risk, data, delivery) and propose a pragmatic plan.

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