Product suite Applivity Reflex

The AI-powered EHS & Operations management platform

Applivity Reflex is the intelligent core of our platform, built to help teams work safer, smarter and more efficiently. It brings together powerful apps that empower your entire organization.

Explore Applivity Reflex
DeploymentDeployed in your boundary · SSO and Active Directory in every model · human-reviewed
Operating modelFixed scope · senior review · milestone payments · your AWS, Azure or on-prem
Home / Partners / Microsoft & Azure
Partner · Microsoft Azure · Cloud & AI

Build on the cloud your enterprise already trusts.

Applivity brings application engineering, AI and managed operations together on Microsoft Azure. We modernize business-critical software, connect it to the Microsoft ecosystem, and keep the resulting environment governed, observable and ready to scale.

Why Microsoft is part of our stack

Enterprise foundations. Engineering on top.

We partner around a platform our customers can already govern, secure and extend - then put our engineering capability where the platform alone cannot.

Digital & App Innovation

Azure gives us a strong foundation for cloud-native applications, APIs, containers, serverless workloads and application modernization. We focus our engineering effort on turning those primitives into reliable business systems.

Identity and enterprise control

Enterprise software does not live in isolation. Microsoft Entra identity, role-based access, policy and network controls let applications fit the security model IT teams already operate.

AI that can reach production

Microsoft Foundry brings models, agents, tools, evaluation, observability and governance into an enterprise AI platform. We use it to move beyond prototypes and into governed workflows.

Our Azure practice is centered on Digital & App Innovation, with Data & AI as a complementary capability path.

Our Microsoft Azure focus

Three ways we make Azure useful.

Azure is the platform. Applivity is the engineering layer that connects platform decisions to applications, data, AI and day-to-day operations.

1

Integrate and modernize

Modernize legacy applications, expose clean APIs, introduce cloud-native services and connect existing enterprise systems without forcing a wholesale rewrite.

2

Build AI into the workflow

Use Microsoft Foundry, Azure AI capabilities and your business data to build assistants, agents, document workflows and decision-support experiences with a path to production.

3

Operate what we build

We design for observability, controlled releases, identity and operational ownership so the application remains useful after the launch project is over.

Microsoft Foundry

AI should be engineered like a product, not left as a demo.

Foundry gives enterprise teams a unified place to work with models, agents and tools, while providing the identity, governance and observability needed to operate AI responsibly. We bring the application engineering, domain context and integration layer around it.

Models and agents

Choose the right model and build agentic experiences around real business tasks.

Knowledge and tools

Connect enterprise information and controlled tools to make AI useful in context.

Evaluation and observability

Trace, monitor and evaluate AI behavior instead of treating quality as a black box.

Identity and governance

Use enterprise access, policy and network controls as part of the architecture.

Systems integrator and MSP

One team from architecture to operation.

We do not treat cloud delivery, application engineering and managed operations as separate handoffs. The architecture is designed with the operating model in mind from the beginning.

1

Discover the workload

Map users, dependencies, data, security requirements and the operational reality before changing the platform.

2

Engineer the right shape

Choose the appropriate Azure services and application patterns rather than migrating technology for migration's sake.

3

Fit the ecosystem

Integrate identity, data, AI, APIs and existing enterprise systems so the new capability works inside the business.

4

Keep it dependable

Build in monitoring, release discipline, governance and an operating model that can evolve with the workload.

What this means for your IT team

A platform your IT team recognizes.

The goal is not to replace your existing controls or create another technology island. It is to extend the environment you already understand with better applications, practical AI and an operating model built for change.

Less platform fragmentation

Build within a common cloud, identity and governance foundation.

Faster application evolution

Modernize incrementally instead of waiting for a perfect rewrite.

AI with an operating model

Design for evaluation, observability, security and ownership from day one.

A partner that stays accountable

Architecture, engineering and operations can remain connected.

Questions

Straight answers.

Why does Applivity build on Microsoft Azure?

Because enterprise customers need more than compute. Azure provides a mature application platform, enterprise identity and governance, plus a growing AI stack. We can spend our engineering effort on the business problem instead of rebuilding those foundations.

Is Applivity only an Azure migration company?

No. Migration is one entry point. Our focus is application engineering: modernizing existing software, building cloud-native applications, integrating enterprise systems, adding AI capabilities and operating the resulting environment.

Where does Microsoft Foundry fit?

Foundry is the AI layer for building and operating AI applications and agents. We use it where AI needs to connect to business data, workflows, tools and enterprise controls rather than existing as an isolated chatbot.

Do we have to move everything to Azure?

No. The right architecture can be hybrid. We start with the workload, dependencies and controls, then determine where Azure creates the most value. Modernization does not have to mean a single-step migration.

What is the Microsoft partner capability focus?

Our primary focus is Digital & App Innovation (Azure), covering building, modernizing and managing cloud-native applications. Data & AI (Azure) is a complementary capability path for meaningful data and AI work, including Microsoft Foundry.

Next step

Bring us the workload.

We will show you what belongs on Azure - and what should stay exactly where it is.