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AI-Powered App Development for Agentic Apps That Act on Your Systems, Not Just Answer
When packaged AI and low-code tools cannot meet the requirement, we design and build custom AI applications on Microsoft Foundry that work with your data, connect to existing systems, and take approved action across real business processes.
11,000+ AI Models
Available Through Microsoft Foundry
1,400+ Business System
Connections Available for Integration
Custom AI Built for Real Work
Some business problems need more than a chatbot or a low-code agent. A contract application may need to extract terms, validate them against policy, request approval, and update a business system. A customer application may need live operational data, personalised responses, and a structured hand-off to employees. These scenarios require AI engineered around the process itself.
Microsoft Partner
Built Around Your Workflow
Apps designed around a real business process, with success measures agreed before the build starts.
Agentic, Not Just Conversational
Applications that take approved actions, such as updating records or raising requests, with people approving the steps that matter.
Grounded in Your Data
Foundry IQ and Azure AI Search connect answers to your documents and systems, with sources shown and existing permissions respected.
Secure From the First Release
Microsoft Entra identity, content safety, OWASP-aligned engineering controls and quality gates in every release.
Ready to Run and Improve
Monitoring, evaluation and cost visibility are built in, so the app can be supported and improved with confidence.
Core Offerings: AI-Powered App Development Services
Each engagement takes one AI application from idea to production, with the right level of engineering for the problem and clear decision points along the way.
Solution Design & Estimation
›
AI-Native Application Build
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RAG & Data Grounding
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Systems Integration & Agentic Actions
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Testing, Deployment & Handover
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We confirm the use case, users and success measures, check whether a low-code option would do the job, and produce an architecture, a running-cost view, a detailed estimate and a statement of work you can approve.
Our engineers build the user interface, APIs and AI services in .NET and Next.js on Microsoft Foundry, choosing the model that best balances quality, speed and cost for each task and keeping the design open to future model upgrades.
We connect the app to your documents and data with Foundry IQ and Azure AI Search, so answers cite their sources and people only see content they are allowed to access.
We integrate with Dynamics 365, Microsoft 365, Power Platform and line-of-business systems through secure APIs, using Foundry Agent Service where the app needs to plan and act, with approval steps for sensitive actions.
We evaluate output quality and safety, deploy to your Azure environment, and hand over documentation, a runbook and clear support options.
Talk to Our Experts
Business Outcomes Enabled
Solve High-Value Problems Packaged AI Cannot Address
Apply custom logic, integrations, user experiences, and AI capabilities to processes that cannot be solved effectively with standard products.
Reduce Manual Work Across Systems
Allow applications to gather information, coordinate workflows, and complete approved tasks while employees concentrate on decisions requiring judgement.
Increase Confidence in AI Outputs
Ground responses in trusted organisational information and provide traceability back to relevant sources.
Reduce Production Risk
Use structured architecture, evaluation, testing, security controls, and quality gates to reduce surprises during deployment.
Create a Reusable AI Foundation
Establish components, integrations, and engineering patterns that make subsequent AI capabilities faster and more economical to deliver.
Solve High-Value Problems Packaged AI Cannot Address
Apply custom logic, integrations, user experiences, and AI capabilities to processes that cannot be solved effectively with standard products.
Reduce Manual Work Across Systems
Allow applications to gather information, coordinate workflows, and complete approved tasks while employees concentrate on decisions requiring judgement.
Increase Confidence in AI Outputs
Ground responses in trusted organisational information and provide traceability back to relevant sources.
Reduce Production Risk
Use structured architecture, evaluation, testing, security controls, and quality gates to reduce surprises during deployment.
Create a Reusable AI Foundation
Establish components, integrations, and engineering patterns that make subsequent AI capabilities faster and more economical to deliver.
Have a Business Process That Packaged AI Cannot Solve?
Tell us what the application needs to understand, decide, connect to, and do. We'll determine whether custom AI is justified and outline the architecture, operating considerations, and safest path to a working first release.
Partner Ecosystem
STORIES OF IMPACT
CASE STUDY
LATEST THINKING
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Learn moreAI-powered app development is the design and build of custom applications with AI at their core, rather than added later. These apps use models such as Azure OpenAI in Foundry Models to understand documents, answer questions and take approved actions in your systems. We build them on Microsoft Foundry, integrated with the tools your teams already use.
Choose a custom app when you need a tailored user experience, complex business logic, high volumes, integration across several systems or tight control over models and data. If Microsoft 365 Copilot or a Copilot Studio agent can meet the need, we will tell you, because that is usually faster to deliver and simpler to run.
An agentic app does more than answer questions. It can plan steps, use tools and complete tasks such as updating a record or raising a request, within limits you set. We add approval steps for actions that matter, log what the app does and test how it behaves before it reaches your users.
We build on Microsoft Foundry, which offers more than 11,000 models plus model routing, evaluation and tracing. We use Foundry Agent Service and Microsoft Agent Framework for agentic features, Foundry IQ and Azure AI Search for grounding, and .NET and Next.js for the application. Microsoft Entra handles identity and access.
AI apps are billed on usage, so we design for cost from the start. We match models to tasks, use model routing where it helps, reduce repeat calls and set Azure budgets and alerts. You receive a running-cost estimate before the build and usage reporting after launch, so there are no surprise bills.
We hand over the code, documentation and a runbook, and agree how the app will be supported. Models change often, so we also plan how the app moves to newer models safely. Ongoing enhancement and monitoring can continue through our development support and AI managed services as they become available.
Yes. We design and build AI applications for organisations across Australia, including Sydney, Melbourne, Adelaide and Wollongong. Design workshops can run on-site or online, and delivery is backed by our wider engineering team, so you get local engagement with the depth to build and support production applications.
In most cases, yes. Microsoft Foundry and Azure services can run in Australian Azure regions, and we design with the Privacy Act 1988 and the Australian Privacy Principles in mind. Model availability differs by region, so we confirm local options during design. Final compliance depends on your environment, data and legal obligations.
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