ExIQ helps Australian businesses investigate how work actually happens before recommending more software or AI. Start with one recurring job, follow it from the first request to the finished result, and identify where information, decisions or handoffs get stuck. The aim is a clearer investment decision—not another system to manage.
Start with a job your team recognises
“We need AI” is a broad ambition. “Customer orders arrive in three places and someone retypes them before they can be processed” is a problem you can investigate.
Choose one workflow with a clear start and finish: a service request becoming a completed job, an order becoming an invoice, or an enquiry reaching the right person. Ask the people doing the work to show you how it happens, including the spreadsheet, inbox or phone call missing from the official process diagram.
Follow an ordinary example and an awkward one. Remove customer-identifying information from examples before sharing them outside the authorised team.
Separate effort from waiting
Record who handles each step, what information they need, which system they use and what lets the work move forward. Distinguish time spent doing the work from time spent waiting for a reply, approval or missing detail.
For example, an order might wait for a product-code clarification even though entering it takes only a few minutes. Faster data entry would not necessarily remove that delay. This is an illustrative situation, not a reported customer result.
Useful observations include repeated entry, missing information, approval queues, avoidable checking and work returned for correction. If you do not yet have reliable volumes or timings, make measuring them a next step rather than filling the gap with a confident estimate.
Look at what happens when the routine breaks
The easy path is only part of the job. What happens when an order changes, a contact cannot be matched, a staff member is absent or two systems disagree?
Ask who notices, who decides what to do and how the correction reaches everyone affected. An automation opportunity should include a workable exception path, not simply move confusing work into a different queue.
Compare the options before choosing the technology
- Change the process — Would clearer ownership, a better request form or one approval rule remove the problem?
- Use existing software better — Is there a suitable feature already available in the organisation's actual product, plan and configuration?
- Connect systems — What data must move, what supported access exists, and how would duplicates or failed updates be handled?
- Introduce AI — Which language or interpretation task would it help with, how would quality be tested, and where is human review needed?
These options can work together. An investigation should also allow the conclusion that a proposed change is not worth pursuing yet. Product names alone do not prove that an integration is available or suitable.
If vendor selection is the next step, use the existing technology procurement guide to turn the findings into questions suppliers can answer.
Check the information and access needed
Identify what the workflow handles: ordinary operational information, personal details, financial information or health records. Ask where it would be stored and processed, who could access it, and what approvals are needed before testing with real records.
For AI, include the data sent to a model—not just the location of the original database. Keep early demonstrations within approved information and permissions. The data-readiness guide explores these foundations further.
Finish with decisions people can act on
A useful recommendation should separate observed facts from assumptions. It should explain the problem, the options considered, the suggested next step, important dependencies and what still needs to be tested.
Potential time or cost savings belong in the business case as estimates until evidence supports them. Agree how a pilot or change would be judged, including effort saved, errors, delays and the work people still need to do. Our workflow automation ROI guide explains how to develop that measurement approach.
An investigation can be valuable before a system is implemented or months of returns are available: it helps the business decide what to pursue, what to improve first and what not to buy.
Have a workflow that needs untangling?
ExIQ's investigation and recommendation work helps turn an operational frustration into clearer options and a practical next decision. Tell us which workflow is slowing your team down, or explore our Process & Workflow service.