Field notes / Business systems / Getting started
Where UAE SMEs can remove repetitive work with AI
The first useful AI project is often a small piece of work your team already understands. The challenge is choosing a task whose value remains visible after review, correction and maintenance are included.
Look for repeated interpretation, not just repeated clicks.
Reading an enquiry, finding the relevant procedure and preparing a first response can involve a similar sequence every day, even though the wording changes. That is a useful place to investigate AI. Copying an exact value from one system to another may need a conventional integration instead.
Start by observing a normal week of work. Ask the team where they wait, retype information or search for the same answer. Capture examples with permission, including the awkward cases. A diagram of the current process often reveals a simpler improvement before any model is introduced.
Three practical places to investigate.
Enquiry handling can combine capture, qualification and a drafted reply. The boundary matters: a system can prepare a response without being authorised to invent availability or commit to a price.
Document preparation can assemble approved material into a working draft. Knowledge retrieval can help a colleague locate a policy and the passage supporting an answer. Both need a reviewer who understands the source material; a fluent result is not proof of correctness.
Choose a workflow you can describe, an outcome you can measure and a person who will own it.
Count the whole task.
A faster draft is only useful if the complete workflow improves. Include the time spent checking, correcting and handling failures. Compare a set of representative examples with the current process, and review the difficult cases separately rather than hiding them in an average.
- How long does the task take from arrival to completion?
- How often must someone correct or repeat the work?
- Does the system preserve the information the next person needs?
- Who handles requests the system cannot complete?
Give the first release a stop line.
A sensible first version might cover one channel, one document type or one approved knowledge collection. Agree which requests it can handle and when the work returns to a person. Leave unrelated automation out of the first scope.
The next step is a short opportunity assessment: a workflow map, representative examples, access requirements and a testable definition of success. Expand only when the first system is useful enough to justify the additional operating responsibility.