Enterprise Cloud & AI Integration Architecture

We modernise enterprise platforms
and govern the AI built on them.

Avinfotech is an integration and cloud architecture practice helping enterprises migrate to Azure and AWS, modernise legacy applications, and stand up machine learning and generative AI capability with the governance controls that regulated organisations require.

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18+
years delivering enterprise platforms
Azure & AWS
certified solutions architecture
Regulated
banking, energy, government & sport
Free & no obligation

Get a free application modernisation assessment

We'll review your current application estate at no cost and no obligation, then present you with clear, actionable modernisation options so you can make a confident decision before spending a dollar.

Delivered across

  • Microsoft Azure
  • AWS
  • Kubernetes
  • Terraform & Bicep
  • Azure DevOps
  • Event-driven Integration
  • Machine Learning
  • Business Presence Sites
  • B2B Integrations
  • B2C Integrations

Capabilities

Four practice areas, one architecture discipline: reduce risk, retire legacy debt, and build the platform foundations that responsible AI adoption depends on.

01

Cloud Migration

End-to-end migration of workloads to Azure and AWS — landing zones, network and identity design, data migration, and cutover planning built for zero-surprise production releases.

  • Landing zones & governance
  • Workload & data migration
  • Multi-region resilience
02

Application Modernisation

Re-architecting monoliths into containerised, API-driven microservices with CI/CD and infrastructure-as-code, so delivery teams ship faster without sacrificing stability.

  • Microservices & APIs
  • Containers & Kubernetes
  • CI/CD & IaC
03

AI Governance

Practical guardrails for enterprise AI adoption — model risk, data lineage, access control and audit trails that satisfy security and compliance stakeholders without stalling delivery.

  • Responsible AI frameworks
  • Model & data risk controls
  • Audit & compliance alignment
04

Machine Learning

Production ML and generative AI platforms — from RAG-based knowledge systems to model deployment pipelines on Azure ML, Azure AI, and AWS SageMaker.

  • RAG & applied GenAI
  • Azure ML / Azure AI
  • AWS SageMaker

Integration & API Platforms

API management, event-driven architecture and service bus design for reliable enterprise data exchange.

Platform Reliability

Observability, incident response and preventative maintenance that keep production platforms stable.

Architecture Governance

Standards, patterns and reusable blueprints that scale consistently across delivery teams.

Where we've delivered

Engagements across regulated, production-critical industries where getting the architecture wrong isn't an option.

01Energy & Utilities
02Banking & Open Banking
03Government
04Sport & National Agencies
05Global Logistics & Retail
06Healthcare
07Gaming & Wagering
08Scientific & Medical Technology
09Insurance

Proudly Australian owned and operated

We're a local Australian business, based and operating right here — not an offshore outfit with a local sales front. Every engagement is delivered by an Australian-based team who understands local regulatory, data residency and compliance requirements first-hand.

All our personnel hold appropriate federal and state government security clearances, giving regulated and government clients confidence to engage us on sensitive, security-conscious work.

Approach

A disciplined path from current state to a governed, cloud-native platform.

  1. 01

    Assess

    Map the current estate — applications, data, dependencies and risk — against the target architecture.

  2. 02

    Design

    Define target-state architecture, migration sequencing, and governance patterns aligned to enterprise standards.

  3. 03

    Modernise

    Migrate and re-platform workloads, build ML/AI capability, and deliver through automated, repeatable pipelines.

  4. 04

    Govern & Scale

    Embed observability, security and AI governance controls so the platform scales safely over time.

Expertise

Expert-level architecture capability across both major hyperscalers — engagements are led by accredited, enterprise-grade design from day one.

AZ

Microsoft Azure

Expert-level architecture across landing zones, integration, containers, and Azure AI/ML.

AWS

Amazon Web Services

Solutions architecture across compute, data, and machine learning services on AWS.

Independently certified architecture practice — every engagement is led by expert-level accredited design.

Start a conversation

Tell us about your platform, your migration goals, or the AI capability you're trying to stand up. We'll respond with next steps.

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