AI & Intelligent Automation Consulting in Australia

CatalytIQ Systems helps organisations adopt generative AI in a way that fits how they actually work: from identifying the right use cases and running pilots, through to LLM integration and governance. I'm based in Brisbane and focus on complex, compliance-driven environments, where AI has to meet the same standards as any other business system.

Who this is for

AI use case identification

Good AI initiatives start from a business problem, not a model. Use case identification works through your processes, data and pain points to find where AI can genuinely help, and where a simpler fix would do the job better.

How use cases are assessed

What you get

A prioritised shortlist of use cases with the reasoning behind each, and a recommended first pilot with clear success measures.

Pilots and proofs of concept

A pilot should answer a specific question: does this work well enough, for these users, with this data, to justify going further? Pilots are scoped small, with requirements, evaluation criteria and a go or no-go decision agreed up front, so the result is a clear decision rather than an open-ended experiment.

Intelligent automation

Many gains come from automating repetitive, rules-based work and adding AI steps only where judgement or language is involved. As a Zapier Silver Solution Partner, CatalytIQ Systems designs and builds Zapier workflow automation, set up in accounts your organisation owns and controls. See how client accounts and data are handled.

Zapier Silver Solution Partner

AI for compliance-driven environments

In regulated and compliance-driven organisations, AI needs clear rules on what tools can be used, what data can go into them and who is accountable for each system. AI governance consulting puts those rules in place in a form people can follow.

LLM integration

Large language models become far more useful when connected to your own systems, documents and workflows. LLM integration consulting covers requirements, architecture, security and evaluation for those connections.

How an engagement works

Each engagement is scoped to the problem. A typical shape is:

  1. An initial conversation to understand your goals and constraints.
  2. Discovery across the relevant processes, systems and data.
  3. A recommendation with priorities, risks and next steps.
  4. Hands-on delivery, or a handover your team can run with.

Talk about AI in your organisation

Based in Brisbane, Queensland, working with organisations. Send a short note about what you're working on and we can set up a conversation.

Send an enquiry

Or email Anil or connect on LinkedIn.