I build the AI systems that actually reach production - Motta Thong, founder of Ongkrong Consulting, Melbourne

Across diagnosis calls with mid-size professional services firms, the same constraint appeared: firms want AI outcomes before the operating layer is ready. I map the data, workflow, governance, and adoption gaps, then build practical AI systems around how the firm already runs.

• The business owner knows AI matters, but does not know where to start.
• The current systems do not communicate, so AI connects the handoffs before the firm replaces tools.
• The business owner wants to deploy AI for the team with a clear first workflow and guardrails.

The first step is the A$500 AI diagnosis. It maps where the firm is losing time, names which workflow to fix first, and flags the steps that should stay human-reviewed.

From the diagnosis, the work usually becomes an AI governance and enablement layer: managing the firm's AI components across tools, data, prompts, automations, and human review with controls for cost, accuracy, security, responsible use, and ethics. It also gives employees the AI skills and capabilities to use these systems safely inside the workflows they already run.

Heads up: booking and delivery happen on ongkrong.com. The diagnosis opens in a new tab.