AI in Business / Lesson AI05

How Much Does AI Cost, and Is It Worth It?

AI is worth paying for when its measurable benefits exceed the full cost and risk of using it. The subscription is only the start: include setup, training, review time, integration, errors and any improved customer outcome. Time saved isn't automatically cash saved, so measure the whole process before expanding.

By the end, you should be able to

  • Calculate costs beyond the licence
  • Separate released capacity from cash savings
  • Choose when to continue, change or stop

Count the full cost

A sensible monthly estimate includes:

  • Subscriptions and usage-based charges.
  • Setup and ongoing maintenance.
  • Staff time spent learning and adjusting the workflow.
  • Time spent checking, editing and correcting output.
  • Security, privacy and approval requirements.
  • Any extra support or vendor costs.

Some providers charge per user, usage, action or data volume. Compare current terms directly. Don't build a financial case using a promotional rate that will expire.

Measure the benefit that matters

Useful measures include time spent per task, rework, turnaround time, customer satisfaction, conversion quality and contribution after costs. Avoid counting the same benefit twice. Faster proposals and additional sales might be related, but you need evidence that the improved process caused the change.

If staff save three hours but use that time for other work, you may have gained capacity rather than immediately reduced expenditure. That can still be valuable, but describe it accurately.

Worked example: the $120 tool

Fictional example. All amounts in Australian dollars. A small agency trials a tool costing $120 per month. Before AI, staff spend 20 hours monthly drafting a certain class of approved internal reports. With AI, drafting takes seven hours, checking takes five, and troubleshooting takes one. The total is 13 hours, saving seven hours.

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