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Appoly

AI Development

AI Enablement

A practical plan for using AI in the business you already run. From a half-day audit for a smaller team to a roadmap a board will sign.

In practice

AIM Housing needed to move a complex, partly digitised housing operation onto one platform without freezing the work already in flight. We rebuilt field operations on mobile and back-office workflow on the web, then added an AI layer that helps staff prioritise and route work.

Translate the AI conversation into a plan

Boards want a strategy. Executives want a pilot that proves value. Operators want tools that do not break. Those three conversations rarely line up.

We translate between them. The output is a roadmap that engineering, risk, and finance can all sign.

What an engagement usually covers

  • AI maturity across data, tooling, capability, and governance.
  • Use-case priority, with ROI modelling.
  • Build, buy, or partner on specific capabilities.
  • Risk and compliance: Privacy Act, IP, and regulatory exposure.
  • Who owns AI internally, how it is funded, and how vendors plug in.
  • A 12-month plan with quarterly checkpoints.

Every engagement ends with a clear plan and an offer to help build the first thing, or to brief whoever does.

For smaller Australian businesses

Most Australian businesses do not have a 50-person AI team. They have a finance lead, an ops manager, and a marketing person, all wondering whether to try Claude or Copilot, and what to use it for.

We come in, look at the day-to-day, and find five to ten specific places AI can save hours this quarter. Then we help you implement them, with sensible tooling and training.

What's included

  • A half-day audit of your data, workflows, and people.
  • A ranked opportunity map by hours saved per dollar invested.
  • Tooling recommendations: off-the-shelf where it works, custom only where it pays.
  • Workshops with your team, not just a deck.
  • A 30, 60, and 90 day plan with outcomes you can check.

Who it's for

Australian businesses with 10 to 250 staff, an ops or tech lead who can champion it internally, and a willingness to change a workflow when AI can do it better.