AI Agent Development in Australia
AI agent development services for Australian organisations, built in South Melbourne for agents and AI applications that plan, act, and sit inside real workflows.
AI application development and machine learning in Australia.
Appoly builds AI applications and machine learning pipelines in Australia from South Melbourne. A senior team does the work, and delivery is human-led and AI-accelerated. We wire agents, RAG, generative AI, and these pipelines into the products you already run.
How we scope AI and machine learning work.
- Measurable ROI
- Each engagement is scoped to hours saved or errors caught. You can take those numbers to the next board meeting.
- Built for production
- We include evaluation, monitoring, governance, and rollback from the start.
- Human-in-the-loop
- Agents augment your team. Escalation, approvals, and audit trails show what the agent did.
- Privacy Act and residency
- From day one, the plan covers the Privacy Act, the Australian Privacy Principles, data residency, and sector-specific requirements.
Advisory work and production agents.
8 services. Pick the one closest to where you are, and we will help you sequence the rest.
MCP Server Development in Australia
Custom MCP server development services for Australian organisations, built in South Melbourne for Model Context Protocol servers.
AI Agent Governance & Security
Guardrails, audit trails, permission frameworks, and security controls. The work that makes AI agents safe to deploy in regulated and enterprise environments.
AI Integration
Embed intelligent capabilities into the iOS, Android, and web products your customers already use.
AI Enablement in Australia
AI enablement services for Australian organisations, built in South Melbourne for AI enablement consulting, from a half-day audit to a board-ready roadmap.
Retrieval-Augmented Generation (RAG)
AI that answers from your documents, your data, and your context. Not from what a foundation model happened to learn on the public internet.
AI for Customer Service
Context-aware support systems that resolve more tickets first-time. Integrated with your knowledge base, CRM, and human team.
Legacy Application Migration & Modernisation in Australia
Legacy application migration and modernisation services for Australian organisations, built in South Melbourne, with an AI layer over existing systems.
In production.
The specification document pipeline and the AIM Housing operations platform.
AI Specification Extraction for Valve Documents
Appoly built AI specification extraction for valve PDF datasheets. Engineers get pressure ratings, materials, and connection sizes back as structured data.
Construction & Utilities · 2025
95% Reduction in manual extraction time
AIM Housing
A multi-platform housing operations system. AI-assisted decisioning and modern DevOps brought to a previously paper-driven workflow.
Construction & Utilities · 2024
iOS · Android · Web
Questions about AI and machine learning.
Do we need to have our data sorted before we start?
No. Most clients arrive with messy data, and the first engagement usually includes making that data usable.
Which models do you use?
Claude, GPT, Gemini, and open-source models. We pick per use case based on capability, cost, latency, and data residency. We are model-agnostic by default.
How do you handle privacy and IP?
No client data is used for model training without explicit consent. Where the work requires it, data stays in Australia. We prefer providers with a strong privacy posture, and we will walk you through the trade-offs.
What does a first engagement look like?
A 4 to 6 week proof-of-value. One workflow, one team, one measurable outcome. We build it with your team, and the engagement ends with a go/no-go on production rollout.
Do you build machine learning pipelines on documents?
Yes. One system in production reads unstructured specification documents and returns structured records with cited source snippets, so anomalies can be reviewed. That pipeline is being extended to adjacent document types.