The team has already tried an AI assistant. It can write a tidy email, but someone still copies the enquiry into a spreadsheet, checks another system and asks a colleague what happens next. The tool is doing something useful. The job is still awkward.
That is a good reason to pause before buying the next subscription. An assessment should help you understand the work well enough to choose what to change.
Follow an enquiry all the way through
Consider this hypothetical service-business workflow. A customer sends a message with a location, a preferred date and a description of the job. Someone reads it, checks whether the business can help, records the details and prepares a reply. A second person may need to approve the quote.
Ask each person to show what they actually do. Which details are copied? Where is availability checked? What happens if the customer leaves out the address? The useful discoveries tend to be in those handoffs.
At Terraline, staff interviews and a review of existing workflows are part of the assessment. We want to understand the work before recommending a tool.
Scope, costs, oversight and a way to measure the result.
Separate the problem from the possible solution
Our practical recommendation is to compare three options. A duplicated step might be removed altogether. A predictable rule might be automated. A message that needs interpreting or drafting may be a candidate for AI assistance.
Simplify the process
Remove a duplicated entry or an approval that nobody needs. No new tool may be necessary.
Connect the rules
When the inputs and conditions are predictable, ordinary automation may handle the next step.
Use AI with review
When information needs interpretation or drafting, assess the accuracy, data handling and human checks.
These are choices to assess, not a ranking from basic to advanced. A simpler change can be the right outcome. If a feature in your existing software already does the job, include that in the comparison.
Make the first test small enough to judge
Pick one workflow and one agreed outcome. For our hypothetical enquiry, that might be preparing a complete customer record for a staff member to review. It is a clearer test than asking a new assistant to manage every customer interaction.
Write down what counts as a good result and what must stay under staff control. Check a sample of normal enquiries, incomplete messages and requests the business cannot accept. Include the awkward cases before deciding that the test is ready for everyday work.
Australian government guidance recommends testing AI tools, checking outputs and keeping appropriate human oversight. It also recommends continuing to monitor tools after adoption. Read the practical guidance on business.gov.au.
Compare the whole cost of the job
Subscription prices are only one line in the decision. Our assessment also considers integration work, the time staff spend reviewing results, support responsibilities and what happens when a connected system changes.
Use an actual sample of work to establish the current effort where possible. If the starting point is an estimate, call it an estimate. Then compare the pilot against the same task, including rework and exceptions. Do not count every automated action as time saved without checking what staff still need to do.
Leave with a useful next decision
The assessment should explain which improvement is worth examining first, why it matters, what information is still missing and what a focused pilot would involve. You should be able to decide whether to proceed, adjust the idea or leave it alone for now.
Bring one recent enquiry or repeated task to the first conversation. You do not need an AI strategy document. Describe the work and the tools your team uses; keep customer information out of an initial email unless an appropriate way to share it has been agreed.
