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Systems Integration

Connect what doesn’t talk. Replace brittle point-to-point hooks with API gateways, event streams, and middleware your team can actually maintain. Built for regulated environments where the integration layer is also the audit layer.

Systems Integration Services

  • API Gateway Setup

    Centralize API management with secure routing, authentication, and monitoring

Case Studies

Image illustrating Automating Patient Scheduling with AI Voice case study

Automating Patient Scheduling with AI Voice

Read more about this case study showcasing FortyAU's solution for scaling patient scheduling using an AI-enabled voice service.

  • Home Health
  • Hospice
  • Progressive Web App
  • EMR Integration
  • Data Migration
Read the case study
Image illustrating AI-Powered Nurse Handoff System case study

AI-Powered Nurse Handoff System

Read more about this case study showcasing an AI-powered nurse handoff experience that saves nurses time and improves care quality.

  • AI Integration
  • Generative AI
  • Mobile Development
  • Nurse Satisfaction
  • Patient Safety
  • Google Blog Post
  • Retrieval Augmented Generation (RAG)
Read the case study

More Software Engineering Services

Who uses our Systems Integration services?

Enterprise

Fortune 500 companies and large corporations requiring scalable, enterprise-grade solutions.

Middle Market

Growing businesses needing robust applications to support company expansion.

Innovation Centers

Businesses leveraging cutting-edge technology to create disruptive products.

Healthcare

Health system providers, insurance carriers, & health tech companies needing HIPAA compliant solutions.

Financial Services

Banks, fintech companies, and investment firms needing secure, regulated financial solutions.

FAQs

What does Systems Integration cover at FortyAU?

Anything that needs to talk to something else. APIs, event streams, message queues, file-based handoffs, CRM-to-billing pipelines, EHR-to-data-warehouse flows. We design the integration layer, build the connectors and middleware, and stand up the API gateway that sits in front of it. The work usually starts with a map of what exists and a brutally honest read on what should be replaced versus wrapped.

How do you connect modern applications with legacy systems?

Carefully. Most legacy systems weren’t designed to be integrated, and the cost of misreading them shows up six months later. Our forward-deployed engineers spend time inside your environment first: reading code, watching traffic, talking to the people who keep it running. Then we choose the right pattern (adapter, anti-corruption layer, event log, scheduled batch) based on what the legacy system can actually support without falling over. AI-assisted reverse engineering helps us read undocumented code faster, but the architectural call is still ours.

What integration patterns and technologies do you use?

Whatever fits. We work with REST and GraphQL APIs, event streaming on Kafka and Kinesis, message brokers like RabbitMQ and SQS, iPaaS platforms when they make sense, and custom middleware when they don’t. For API management we deploy Kong, Apigee, AWS API Gateway, and Azure API Management depending on the stack. We’re opinionated about architecture, not about tools. The right pattern for one client is the wrong pattern for the next, and we’ll tell you which is which.

How do you handle security and compliance in integration work?

Compliance isn’t a phase we run at the end. It’s the architecture. Every integration is built with auth, encryption in transit and at rest, audit logging, and least-privilege access designed in from day one. We’ve shipped integrations inside HIPAA, SOC 2, and PCI environments where the integration layer is also the audit layer. If your security team needs to walk every connection before launch, we build for that walkthrough.

How long does a Systems Integration engagement typically take?

It depends on what’s connected to what. A focused two-system integration with clean APIs on both sides can ship in 4-8 weeks. A platform-wide rework with legacy systems, regulated data, and twelve downstream consumers usually runs 4-9 months and gets broken into phased releases. We’ll give you a realistic timeline after the discovery phase, not before. The team that does discovery is the team that ships, so the estimate reflects what we’ll actually have to build.

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