Appoly builds AI agents in Australia from South Melbourne. A senior team does the work, and delivery is human-led and AI-accelerated.
The work covers AI agents and AI applications. An agent plans, chooses tools, takes actions, and checks its own work under human supervision. We map the decisions, data, and approvals the agent has to navigate before we write any code.
In practice
At AIM Housing, the AI layer sits inside the operations platform. It helps staff prioritise and route work across field teams on mobile and the back office on the web.
How we work
Working software reaches users every fortnight. You own the code, infrastructure, and documentation. We hand those over cleanly, without lock-in or bespoke frameworks.
We shadow the people doing the work and pick the decision points an agent can safely own. Agents are only as capable as the tools they can call, so we build secure, scoped tool interfaces, often through MCP servers. Before an agent touches production, we build a regression suite of real tasks with measurable success criteria. The interface has clear escalation paths, approval gates, and audit trails. After launch we watch token spend, latency, accuracy, and drift. Guardrails and Privacy Act alignment are covered on AI Agent Governance & Security. Agents can also live inside a product you already run; that work is AI Integration.
Typical work
Internal operations such as triaging tickets, drafting customer responses, reconciling records, and generating compliance reports. Knowledge work against your own data: research, summarisation, and document drafting. Guided self-service across a product catalogue or policy documents. Engineering tasks such as code review, dependency upgrades, and infrastructure-as-code generation.
