The Azure Landing Zones (Enterprise-Scale) architecture provides prescriptive guidance coupled with Azure best practices, and it follows design principles across the critical design areas for organizations to define their Azure architecture

Template to deploy the Data Management Zone of Cloud Scale Analytics (former Enterprise-Scale Analytics). The Data Management Zone provides data governance and management capabilities for the data platform of an organization.

Template to deploy a single Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Landing Zone is a logical construct and a unit of scale in the architecture that enables data retention and execution of data workloads for generating insights and value with data.

Template to deploy a Data Product for analytics and data science use-cases into a Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Product template can be used by cross-functional teams to create insights and products for external users.

Distributed data mesh for real-time access, migration, and replication across diverse databases — built for AI, security, and scale.

Template to deploy a Data Product for Batch data processing into a Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Product template can be used by cross-functional teams to ingest, provide and create new data assets within the platform.

Template to deploy a Data Product for data stream processing into a Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Product template can be used by cross-functional teams to ingest, provide and create new data assets within the platform.

Governed CLI framework for deterministic, auditable AI agent workflows

Production-first memory infrastructure for AI agents. Aionis gives your agents durable memory with real APIs, operational guardrails, and fast integration paths.

Platform-owned autoscaling control plane for Kubernetes, managed via GitOps. Defines safe, opinionated autoscaling contracts using native HPA and KEDA, enforced at admission time with clear ownership boundaries and guardrails. Designed for stability, auditability, and production-aligned behavior in long-lived platforms.

A SOP-driven banking support agent built with LLMs and MCP, featuring structured intent classification, auditable decision flows, and PostgreSQL-backed policy management.

A scalable Go microservices SDK with standardized service bootstrapping, observability, and infrastructure primitives for building production systems.

Policy-driven mobility platform architecture and regulatory-adaptive pricing design

Delivery Experience Control Plane built on Spinnaker that enforces policy-driven deployments, organizational guardrails, and paved-road delivery workflows at enterprise scale.