- Microsoft AI Services
Enterprise AI, in Production Not in a Slide Deck.
From strategy through to live agents, we build secure, scalable AI on Microsoft that delivers real business results, usually in weeks rather than quarters.
- Microsoft Solutions Partner
- Advanced Specialisation in AI
- Trusted by Australian government and enterprise
AI and data delivered for high-stakes Australian organisations
AI and data projects delivered across Australia
Typical time to a production-ready AI MVP
Users supported by AI we have built and shipped
Deployed in your tenant: your identity, data and compliance
From Experimentation to Production
Plenty of organisations have run AI pilots. Far fewer run AI in production.
The gap is rarely the model. It is the engineering and governance around it that turns a demo into a dependable system that delivers a return.
Scalable AI needs the right foundations: networking, compute, model orchestration, data integration and agent design patterns. Getting this right early is what separates a demo from a dependable system.
Enterprise AI demands data security, responsible AI controls, agent observability and governance that satisfies risk and compliance, without smothering innovation.
Moving from notebooks to production means pipelines, versioning, automated evaluation, monitoring and retraining, now extended to agents, with profiling, tracing and replay.
- Our Accelerator
Agile Agents: Production Agentic AI in Weeks
A governed, ready-to-deploy way to put intelligent agents to work, without spending months building platform plumbing first.
- Built on Azure AI Foundry and aligned to the Microsoft Agent Framework
- RAG implementation with Azure AI Search
- Tool integration via function calling and the Model Context Protocol (MCP)
- Multi-agent orchestration with agent-to-agent handoff, interoperable with Copilot Studio
- Entra ID, RBAC and enterprise governance built in
- Complete source code and developer documentation, so you own the IP
What We Deliver
One capability, two ways to read it
Choose the view that fits you. Business leaders see outcomes and use cases. Technical teams see the build detail and the Microsoft stack underneath.
Switch any time.
Give every team instant, trusted answers from your own knowledge.
Agents that handle multi-step work, retrieve answers from your documents with citations, and free your people from repetitive tasks. Built so staff can create and manage their own assistants safely.
Turn scattered information into answers your teams can rely on.
Search and question your policies, contracts, manuals and records in plain language, with answers traced back to the source so people trust what they read.
Help frontline and leadership teams decide faster, with evidence.
Models and dashboards that surface the right insight at the right moment, from demand forecasting to risk flags, so decisions are quicker and better supported.
Get measurable value from the AI tools you already pay for.
Roll out Copilot and custom productivity agents with the change management, training and guardrails that make adoption stick across the organisation.
A clear, safe roadmap your board can back with confidence.
A costed plan for where AI creates value, with the governance, privacy and responsible AI controls that keep risk and compliance teams comfortable.
Let anyone ask questions of your data in plain English.
Natural-language insight on top of your Microsoft Fabric and Power BI estate, so reporting becomes a conversation rather than a request to the data team.
For rapid prototyping and citizen-developer scenarios we also deliver Microsoft Copilot Studio (conversational and computer-using agents) and Power Platform AI Builder, complementing our pro-code work where faster time to market matters more than deep customisation.
Autonomous, multi-step agents built pro-code.
- Microsoft Agent Framework development (Python and C#)
- Azure AI Foundry Agents Service deployment and orchestration
- Custom function calling and tool integration
- RAG with Azure AI Search
- Multi-agent coordination and agent-to-agent handoff
- Model Context Protocol (MCP) server integration
Frontier and small language models on your data.
- Foundry model deployment in your Azure tenant
- Custom fine-tuning on your proprietary data
- Embeddings with current text-embedding models
- Prompt flow development and optimisation
- Private endpoint deployment and VNet integration
- Token usage monitoring and cost optimisation
Models from prototype to production assets.
- Azure ML workspace setup and compute configuration
- Custom models (computer vision, NLP, forecasting)
- Automated ML for rapid prototyping
- MLOps CI/CD pipelines with Azure DevOps
- Model registry, versioning and lineage tracking
- Real-time and batch inference endpoints
Secure, scalable AI infrastructure on Azure.
- Azure AI Foundry hub and project setup
- GPU compute clusters (NC, ND, NV series)
- AKS deployment for model inference at scale
- Azure Databricks integration for large-scale ML
- Networking architecture (VNet, Private Link, NSGs)
- Infrastructure-as-code with Terraform and Bicep
AI inside your Microsoft data estate.
- Fabric data science workspace configuration
- Model training and deployment in Fabric notebooks
- AI functions in intelligent semantic models
- Power BI Q&A enhanced with Azure OpenAI
- Real-time scoring with Fabric eventstreams
- Python and R model execution in Fabric pipelines
Architecture, controls and roadmap.
- AI strategy and enablement workshops
- Enterprise-grade AI network and connectivity design
- Data privacy, encryption and responsible AI controls
- Risk management and compliance frameworks
- AI Centre of Excellence establishment
- Learn more about AI Strategy and Governance →
For rapid prototyping and citizen-developer scenarios we also deliver Microsoft Copilot Studio (conversational and computer-using agents) and Power Platform AI Builder, complementing our pro-code work where faster time to market matters more than deep customisation.
- How We Deliver
Enterprise AI Implementation Journey
A structured yet flexible approach that accelerates time to value while building your team’s capability.
1
2
3
4
AI Strategy and Architecture Design
1 to 2 WEEKS
We pinpoint high-value use cases and design the target architecture, with risk and governance considered from the start.
- AI maturity and capability assessment
- Azure architecture design (networking, compute, security)
- Use-case prioritisation with effort and ROI estimates
- Governance, risk and responsible AI framework
- Data privacy and encryption architecture
Azure AI Platform Build
2 TO 4 WEEKS
We stand up a secure, production-ready Azure AI foundation in your tenant.
- Azure AI Foundry hub and project provisioning
- Foundry model and Azure OpenAI deployment with private endpoints
- Azure ML workspace configuration
- VNet integration, Entra ID and RBAC setup
- Azure DevOps pipelines for MLOps CI/CD
AI Solution Development
4 TO 8 WEEKS
We build, evaluate and harden your agents and models against real workflows.
- Agent development on the Microsoft Agent Framework
- RAG with Azure AI Search and embeddings
- Custom ML model training and evaluation
- API integration and tool development
- Agent evaluation, benchmarking and cost optimisation
Production Deployment & Enablement
ONGOING
We take the solution live, monitor it, and build your team’s capability to run and scale it.
- Production deployment with monitoring and observability
- Governance workflows and human-in-the-loop checkpoints
- Model and agent updates, safety reviews, retraining
- Role-based enablement and change management
- Roadmap for scaling to new use cases
Success Story
A governed AI assistant platform for 40,000+ students and staff
University of Technology Sydney
UTS had experimented with AI assistants since 2017, but each one needed its own bespoke build, prototyping took months, and securing data across faculties was hard to enforce. They needed AI to become a shared institutional capability, not a series of disconnected tools.
Agile Insights designed and delivered Recast: a single, enterprise-grade platform that lets staff create governed AI assistants through no-code workflows. Every assistant is scoped to approved content and answers with citations back to trusted sources, all within one control framework for access, content and approval.
Minutes
to deploy a new assistant, down from months
40,000+
students and staff served across the university
1
unified, governed platform replacing fragmented tools
Agile Insights came highly recommended by Microsoft and were already aligned with the technology stack we were using, so their involvement was a natural fit for us.
Susan Gibson
Head of Data Analytics and AI, UTS
- Unleash Innovation → Explore Technology → Shape Tomorrow
AI Strategy and Enablement Workshop
A focused session that turns AI ambition into a costed, governed roadmap your leadership team can act on.
Workshop Outcomes
- Practical GenAI and agentic architecture and security strategy
- Tailored AI governance framework
- Live intelligent-agent demos in real workflows
- Co-created roadmap for scaling AI across the organisation
Topics Covered
Solution Architecture
enterprise-grade AI design and integration patterns
Security & Privacy
data security, responsible AI, compliance and governance
Live Agent Demos
task-driven agents on Azure AI Foundry with tool integration
Use Case Discovery
AI opportunities tailored to your business
* All Microsoft funding is subject to approval
Why Us
Why Agile Insights for Enterprise AI
Microsoft Solutions Partner with Advanced Specialisation in AI, and proven delivery across Australian government and enterprise.
Advanced Specialisation in AI
Certified architects across Azure AI, Azure ML and Azure data platforms, with deep expertise in the Microsoft Agent Framework, Azure AI Foundry and MLOps.
Pro-Code Engineering Depth
Seasoned engineers shipping production Python, C# and Azure SDK code: custom agents, model development and complex integration, well beyond configuration.
Production-Ready Accelerators
Our Agile Agents platform and proven frameworks cut delivery time, with reusable patterns for RAG, multi-agent orchestration and MLOps.
Enterprise Architecture and Security
Secure AI architectures for government and regulated industries, with IRAP-aligned approaches, PROTECTED workloads and complex networking.
End-to-End MLOps and Agent Ops
Full lifecycle from data prep to deployment, monitoring and retraining, with agent observability, tracing and governance.
Workshop-Driven Enablement
Hands-on workshops with live agent demos and architecture deep-dives. We build your team’s capability, not just deliver a solution.
Powered By
- Microsoft Frontier Firm, in production
Become a Frontier Firm.
Microsoft’s Frontier Firm playbook gives you the method. We give you the people who have already built the platform, the agents and the guardrails for Australian organisations. Start with a half-day Readiness Workshop and leave with a plan your board can fund.
Level 1, human with assistant. Our Copilot Adoption Program gets personas, managers and measurement right so licences turn into value. Copilot Adoption Program
Levels 2 and 3, human-agent teams then agent-operated processes. Agile Agents redesigns the process first, then runs it on Azure AI Foundry with controls an auditor can test. Agile Agents
A shared, governed source of truth with observability built in. Fabric Foundation turns a blank tenant into a governed platform your team runs from day one. Fabric Foundation
Employee experience, customer engagement, reshaped processes, faster innovation. The Readiness Workshop picks which one you move first and attaches a number to it. Book a Readiness Workshop
Meet some of our AI Services Team
Practice Manager, Artificial Intelligence
Dul Wimalatissa
Dul is a seasoned consulting leader with a proven track record of delivering solutions across various industries. He leverages Microsoft cloud technologies to drive impactful business outcomes.
Head of AI Strategy, Advisory and Governance
Gethryn Ghavalas
With 25 years of operations expertise, including 15 years at Westpac, Gethryn has joined Agile Insights as our COO. His technical background and diverse skills drive our strong focus on high quality delivery.
Principle AI Architect
Adam Stephensen
Adam is passionate about helping companies innovate with Azure and OpenAI. As an Application and AI Innovation Specialist at Microsoft, Adam works with financial services customers to design and implement their application innovation and AI strategies.
Principal AI Architect
Todd
With over 30 years of experience across a range of industries including Financial Services, Energy, Mining, Retail and Public Sector helping customers deliver on their transformation and innovation vision.
AI Practice Lead
Grant
Grant uses his deep cloud, integration, and AI architecture expertise to deliver transformational digital solutions across a wide range of industries.
Ready to Move AI Into Production?
Whether you are shaping strategy or ready to build, start the conversation that fits where you are.
Questions
Enterprise AI FAQs
How long does it take to deploy enterprise AI solutions?
A proof-of-concept AI implementation can be delivered in 2-4 weeks. Full production deployment with Agile Agents or custom AI solutions typically takes 6-12 weeks, including infrastructure setup, use case development, security configuration, and user training. Timeline depends on use case complexity and organizational readiness.
What's the difference between Agile Agents and building our own AI platform?
Agile Agents provides a production-ready foundation with enterprise security, governance, and continuous feature releases built in. Building from scratch requires 6-12 months of development, ongoing maintenance overhead, and keeping pace with rapid AI evolution. Our accelerator reduces time-to-production by 65% and total cost of ownership by 90% compared to ground-up development.
Do you build custom AI solutions or just deploy pre-built platforms?
We do both. Agile Agents provides a battle-tested foundation for rapid deployment, but we also build fully custom AI solutions when your requirements demand it. This includes custom ML models (computer vision, forecasting, NLP), bespoke agent frameworks with Semantic Kernel, proprietary algorithm development, and complex system integrations. Our engineers work in Python, C#, and Azure SDKs to build production-grade code tailored to your specific needs.
How do you ensure AI solutions are secure and compliant?
All AI solutions are deployed within your Azure environment with enterprise-grade security controls including Entra ID integration, role-based access control (RBAC), private endpoints, data encryption at rest and in transit, and Microsoft Purview integration for data governance. We work with government agencies and regulated industries, ensuring compliance with IRAP, PROTECTED-level certifications, and industry-specific requirements.
Can AI solutions integrate with our existing systems and data?
Yes. Our AI solutions integrate with enterprise systems including Dynamics 365, SAP, Salesforce, custom APIs, databases, SharePoint, and Microsoft 365. We support the Model Context Protocol (MCP) ecosystem for external tool integration and build custom connectors for proprietary systems. Data can be sourced from Azure Data Lake, Fabric lakehouses, SQL databases, APIs, and other enterprise data platforms.
What AI use cases deliver the highest ROI?
High-impact use cases vary by industry but commonly include: intelligent document processing and contract analysis, customer service automation with AI agents, procurement and supply chain optimisation, financial forecasting and risk modeling, and compliance monitoring and regulatory reporting.
What level of technical expertise do we need in-house?
For pro-code AI development, your team should have software engineering fundamentals (Python or C# experience helpful) and familiarity with Azure cloud concepts. We provide comprehensive technical enablement including architecture deep-dives, code walkthroughs, and hands-on workshops to upskill your engineers. For Agile Agents platform, business users can create and manage agents through the interface while your developers handle custom integrations and advanced workflows.
How do you approach responsible AI and ethical considerations?
We follow Microsoft’s Responsible AI principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. This includes bias detection and mitigation in ML models, explainability frameworks for AI decision-making, human-in-the-loop workflows for high-stakes decisions, comprehensive audit logging, and clear governance policies. We help establish AI ethics committees and responsible AI frameworks tailored to your organisation.
What ongoing support and maintenance is included?
Initial implementation includes comprehensive documentation, training, and knowledge transfer for your team to manage and extend solutions independently. For ongoing support, we offer managed services packages including: platform monitoring and optimisation, regular feature updates and AI model upgrades, performance tuning and cost optimisation, security patching and compliance updates, and dedicated technical support channels.
How is pricing structured for AI services?
Pricing varies based on scope and complexity. Typical engagement models include: Fixed-price packages for Agile Agents implementation (platform deployment + initial use cases), Time & materials for custom AI development and complex integrations, Outcome-based pricing tied to measurable business results, and Managed services subscriptions for ongoing platform support and optimisation. Azure infrastructure costs (compute, storage, AI model usage) are separate and billed directly by Microsoft through your Azure subscription.
Can you work alongside our internal team?
Absolutely. We offer flexible engagement models from leading full end-to-end delivery to collaborating closely with your internal data science, engineering, and platform teams. This hybrid approach accelerates delivery while building your team’s AI capabilities for long-term autonomy. We also provide staff augmentation with AI/ML specialists who can embed within your organisation.