Before You Automate: Understand What Your AI Will Cost

Editorial review: 26 October 2026. Research discussed in news coverage dated 22 October 2026.

Splunk's State of Observability 2026 research reports that 55% of respondents cannot accurately control AI costs. The research surveyed 2,050 IT operations and engineering professionals. It offers a useful signal about operational challenges, although it does not establish how common those challenges are among Malaysian SMEs. Read the original research summary.

For a business considering automation, the practical question is straightforward: can you explain what a completed task costs and whether that task produces enough value?

Start with the whole task

An illustrative quotation workflow might collect an enquiry, check missing information, prepare a draft and request approval. When estimating its cost, account for the systems involved, the expected volume and the time people spend reviewing exceptions.

A low price for an individual AI interaction is only one input. Ask your provider which activities are charged, whether retries add charges, what usage information is available and which limits can actually stop spending. Record assumptions before comparing options.

Put a manageable pilot around the idea

Choose one workflow and measure the current process first. Agree how many cases the pilot will handle, what information it may use and when a person must take over.

Set an approved budget and assign somebody to review usage. Where supported, configure alerts and spending limits, and check whether a limit is a warning or an enforced stop. Give staff a clear route for reporting unexpected behaviour.

Measure a useful outcome

We suggest reviewing cost per completed, accepted task alongside staff review time and correction rates. Count incomplete cases too. A cheap draft that requires extensive rewriting may offer less value than a more dependable process.

Compare results with the original workflow before expanding. Include setup, integration and ongoing support in the decision; those costs belong in the business case even when they sit outside the AI bill.

Ask better questions before committing

• What is included in the quoted price, and what varies with usage?
• Who checks consumption and investigates unusual activity?
• What happens when a budget or service limit is reached?
• Can the team pause the workflow and complete urgent work manually?

At AIO, an automation discussion starts with the work to be done, the people responsible and a measurable result. Discuss your workflow with us.