AI & Automation 101

What AI actually is, generative AI, practical tools, agents, process and workflow automation, AI in customer service, private AI and responsible use.

Discover how AI and automation can reduce effort and improve productivity.

  • Understanding artificial intelligence – What AI actually is, how it differs from ordinary software and automation, what it is genuinely good at, where it fails, and how an Australian small business owner should think about it.
  • Generative AI fundamentals – How large language models and other generative AI tools work in plain terms, how to write prompts that get useful results, and how to manage hallucination, privacy and cost in a small business.
  • AI tools for small businesses – The categories of AI tool that genuinely help a small business, how to choose between built-in features, off-the-shelf products and custom builds, and how to run a pilot that proves value before you commit.
  • AI agents and assistants – The difference between an AI assistant that answers and an AI agent that acts, what agents can realistically do for a small business today, and the guardrails that let you hand over tasks without handing over control.
  • Business process automation – How to find the processes worth automating, fix them before you automate, choose between rules-based tools and AI, and measure whether automation actually freed up time and reduced errors.
  • Workflow automation – The practical side of automation: how triggers, conditions and actions connect your apps, where to start, how to build a first workflow safely, and how to stop a tangle of automations becoming a liability.
  • AI-powered customer service – How AI can answer, route and assist with customer enquiries without damaging the relationships that keep a small business alive: the models that work, the knowledge base that makes them work, and the escalation design that protects customers.
  • Local and private AI – When a business should keep AI on its own infrastructure or inside a private cloud instead of using public services, what that involves in hardware, models and skills, and how to decide without over-engineering.
  • AI governance and responsible use – A practical, small-business-sized approach to governing AI: a short policy, a register of tools and uses, clear rules on data and human oversight, and a review rhythm that keeps pace with the tools.