AI Consulting Melbourne

AI Consulting Australia

One engineer. Direct access. No account managers between you and the work.

Ali Kazim is a Melbourne-based AI engineer who builds agents, MCP servers, and agentic workflows for founders who need AI infrastructure done fast and done right.

Solo vs. Agency

Most AI consulting firms assign you a project manager, then a mid-level analyst, then a junior dev. You speak to me.

Larger consultancies route work through layers. That adds weeks, miscommunication, and cost. As a solo practitioner, I write the strategy, architect the system, and build it.

When something needs to change mid-engagement, it changes the next day, not after two approvals.

AI Consulting Services

The actual work

AI Strategy and Scoping

Audit your current stack, identify genuine AI leverage points, and produce a prioritised roadmap. No slide decks that sit in a drawer.

Deliverables

Current-state process audit
AI opportunity shortlist with effort/impact ranking
Technology stack recommendation
Implementation sequence with rough timelines

Agent and Workflow Architecture

Design and build AI agents and multi-step agentic workflows that connect your tools, your data, and your users.

Deliverables

Agent architecture diagram
LLM selection and prompt design
Tool/API integration plan
Handoff and fallback logic

MCP Server Development

Build custom Model Context Protocol servers that give your AI agents structured, reliable access to your internal systems. This is the infrastructure layer most teams skip and later regret.

Deliverables

MCP server design and build
Resource and tool definitions
Authentication and access scoping
Documentation for your team

Process Automation

Replace repetitive knowledge-work loops with AI-assisted pipelines: document processing, data extraction, review workflows, and internal ops.

Deliverables

Process mapping
Automation design
Integration with existing tools
Testing and handover

Ideal Client

Built for founders moving fast

You are a technical or semi-technical founder
You have a clear problem to solve, not just 'we should do AI'
You want something built in weeks, not quarters
You want to own the output, not depend on a vendor indefinitely

How It Works

Three ways to engage

Discovery Sprint

2 to 3 weeks

A structured audit of your workflows and data, ending with a written AI opportunity brief and a prioritised build list. Useful if you are not yet sure what to build.

Most common starting point

Build Engagement

4 to 10 weeks

Design, build, and deploy a specific AI system: an agent, an MCP server, an automation pipeline, or a combination. Scope is fixed before work starts.

Ongoing Build Partner

3 to 6 months

Embedded engagement across multiple systems. I work as your dedicated AI engineering resource for a defined sprint cycle. Suited to founders who have validated a direction and want sustained build velocity.

I keep client work confidential by default. If references matter to your decision, ask me directly on the call.

Available across Australia & New Zealand

Ready to scope your AI project?

Book a 30-minute call. We will cover what you are building, where AI adds real leverage, and whether this is the right fit.

Book a Call