Microsoft Azure • Cloud-Native • AI Engineering • Decision Automation
Enterprise Cloud & AI engineered for outcomes.
nimbus180 helps organizations modernize platforms, automate decisions, and adopt AI safely using proven architectures, governance, and delivery playbooks.
A compass for cloud adoption and AI execution
nimbus180 combines enterprise architecture, cloud engineering, and AI delivery to help teams ship faster— without sacrificing security or governance.
Reference architectures and delivery accelerators for Azure, AKS, APIM, security, and observability.
RAG, semantic mapping, and agentic workflows designed for determinism, governance, and compliance.
Event-driven patterns and rules automation (Drools/KIE) to move claims decisions from manual to straight-through processing.
Executive workshops, architecture reviews, and team enablement to build internal cloud and AI capabilities.
Services designed for enterprise delivery
Fixed-scope engagements and accelerators—built on Microsoft technologies—with traceability, security, and governance baked in.
Cloud & Platform Architecture
- Azure landing zones and AKS platform baselines
- APIM, networking, private endpoints, identity
- Observability, SRE guardrails, cost controls
Semantic Mapper for STP
- Canonical schema strategy + ontology
- RAG-grounded mapping with confidence + provenance
- Validation, transforms, replay, regression harness
AI-Assisted Rules Automation (Drools/KIE)
- Business intent → rule plan → DRL/DRT generation
- KIE build, simulation, and approval workflow
- Artifact versioning and deterministic deployments
Fractional Architect Advisory
- Architecture reviews and governance
- Vendor selection and implementation guidance
- CTO-ready roadmaps and operating model support
Fast, accurate claims processing at scale
Our proven approach combines AI-powered decision automation with Microsoft Azure’s enterprise-grade platform. The result: faster claims, lower costs, and better customer experiences.
Claims automatically approved without manual review
Down from 5 days for standard auto claims
Production-grade Azure infrastructure with multi-region failover
Full decision traceability and regulatory compliance built-in
Reference Architecture: Semantic Mapping & STP Decisioning
Microsoft-first stack using Azure OpenAI, Azure AI Search (RAG), AKS, APIM, Cosmos DB, and deterministic build pipelines for Drools/KIE rules engine.
AI Decision Automation
RAG-based semantic mapping translates unstructured claims data into actionable decisions, with full audit trails and explainability.
Rules Engine Integration
Drools/KIE for deterministic business logic. Version-controlled rules, A/B testing, and blue-green deployments for zero-downtime updates.
Cloud-Native & Scalable
Built on AKS with auto-scaling, observability (Azure Monitor, App Insights), and security best practices (managed identities, Key Vault, private endpoints).
About nimbus180
nimbus180 is a cloud and AI engineering consultancy focused on enterprise modernization, decision automation, and AI adoption with governance. We help teams build platforms that are production-grade, auditable, and scalable—without unnecessary complexity.
Our approach is architecture-led: define canonical models, decision boundaries, and operational guardrails first—then apply AI and automation where it creates measurable outcomes.
What you get
- Executive clarity: a plan you can take to your CTO board.
- Engineering assets: reference implementations, IaC, CI/CD patterns.
- Repeatability: playbooks and accelerators reused across products and regions.
Let’s talk
For consulting, advisory, or a quick architecture review, reach out and we’ll respond with next steps.