A Dubai distributor wants to answer quote requests faster. It could give an AI tool access to the sales inbox, stock system and customer records. Or it could start with a single task that takes time today, such as turning an approved product sheet into a draft reply for a salesperson to check. The second option is easier to measure and reverse. It also shows whether AI helps before the business gives it more access or responsibility.
A first pilot should answer a practical question. Can the team finish a defined piece of work with less effort or fewer errors while keeping the quality and controls it needs? Choose the workflow before choosing the product. Then compare the assisted method with the best ordinary process the team can run, including a template or rule-based tool where that would solve the problem.
Choose a task someone can review
The UAE Artificial Intelligence Office publishes practical generative AI use cases, including examples for business owners, and offers an ethics self-assessment for organisations developing or operating AI. Use these resources to explore what a tool can do and which questions to ask. Your pilot still needs its own evidence about time, accuracy and appropriate data use. UAE AI Office publications. UAE AI ethics self-assessment.
| Candidate workflow | A useful first test | What the reviewer checks |
|---|---|---|
| Sales replies | Draft from approved product sheets and templates | Facts, prices, lead times and commitments |
| Meeting follow-up | Turn approved notes into an internal task list | Owners, deadlines and anything the notes leave unresolved |
| Invoice intake | Extract fields from authorised sample invoices into a review queue | Supplier identity, amounts and unmatched fields |
| Internal policy search | Suggest an answer and identify the source passage | Whether the source is current and supports the answer |
| Customer service triage | Suggest a topic and route for a representative to approve | Urgency, misrouting and unresolved cases |
Look for repeat work with clear inputs and a checkable result. If the task happens only occasionally, setup and training may cost more than the time released. If a reviewer has to reconstruct the original answer from scratch, much of the apparent saving will disappear. If an error could trigger a payment, disclose data or commit the company to an incorrect price, constrain the pilot to suggestions in a review queue. An internal draft that can be discarded gives the team room to learn.
Check where the problem really sits. A team that sends inconsistent quotes because its price list is out of date needs to fix the source first. If staff copy the same product dimensions into dozens of documents, a structured catalogue and template may be enough. An AI draft might help when customers describe the same need in varied language and a salesperson still needs to check the facts against a current source. Choose the smallest step that exposes that difference.
Write down the task, the inputs and the stop conditions
For the distributor, define the task as drafting a reply to an incoming request for standard product information. The assistant may use approved specification sheets and example enquiries prepared for the pilot. The reviewer checks the cited product facts and edits the reply. Keep stock, prices, delivery commitments and exceptions with the salesperson unless those fields are explicitly included and can be verified from an approved system. Keep the current process available so staff can complete the work if the tool is unavailable or returns an unusable draft.
Choose someone to own the workflow, maintain the approved source documents and resolve exceptions. If two price or specification sheets disagree, the assistant should flag the conflict and the owner should choose the current source. Ask reviewers to record an unsupported claim, missing information and a wrong source as distinct failures. A fluent draft can still be wrong. NIST’s generative AI risk profile describes the risk of confidently presented false or erroneous output and provides a reference for thinking about the checks a workflow needs. NIST generative AI risk profile.
Set conditions that send a case back to the existing process. Examples include an unknown product code, no supporting passage, conflicting instructions or a request requiring commercial judgement. Test those conditions before using the pilot on a live queue. If the tool makes a material commitment the reviewer cannot reliably spot, narrow the task or stop the test. A smaller set of reliable cases can still answer whether the workflow is worth using.
Decide what data can enter the pilot
Draw the data path from the input to the model, its logs and the place the draft is stored. Start with public information, fabricated cases or material the company has authorised for the specific test. If the intended process needs customer or staff records, check which data are necessary and what rules and contracts apply before using them. Record whether the provider can retain input or output, use it for model improvement, or make it available to subprocessors. Review access, deletion and logging terms for the particular service and plan.
The UAE’s federal personal data protection law sets out its scope and exclusions, including establishments in free zones with special personal data legislation. The business needs to determine the applicable regime and obligations for the actual data and workflow. Using a tool marketed to local businesses does not resolve that question. Check the entity responsible for processing, which systems receive the data and where human reviewers and service providers can access it. UAE Federal Decree by Law No. 45 of 2021, Article 2.
Treat uploaded material as input that may contain misleading instructions. An incoming email can ask a system to ignore its task or reveal information it should not disclose. During a first test, avoid connecting actions such as sending mail, editing customer records or releasing an order. Have the user review the proposed output inside the existing workflow. When testing in English and Arabic, use examples of the language and mixed terminology customers actually use, including local product names and units. Review each group separately before deciding where the workflow is usable.
Measure the finished work, including review and rework
Time the current process on representative cases. Count time spent locating information, drafting, checking and correcting the final answer. Compare the assisted process on similar cases and use the same acceptance standard. Include hard cases and record when the tool sends work back to the ordinary process. If a demonstration uses easy cases and ignores the exceptions that take most of the staff’s time, it will overstate the benefit.
Suppose a hypothetical UAE SME handles 300 eligible requests per month. The current method takes eight minutes of staff time per request. The assisted method takes five minutes including review and corrections, averaged across the same kind of work. That releases 900 minutes, or 15 hours a month. At an assumed value of AED 100 per hour, the time released is worth AED 1,500 a month if the business can use it. If recurring software and administration cost AED 600 monthly, the remaining illustrative benefit is AED 900 before setup costs and any new costs from errors.
If checking takes longer and the assisted method averages seven minutes, the team releases only five hours per month. At the same time value, the benefit is AED 500 and falls short of the AED 600 recurring cost. Under these assumptions the process needs to save 1.2 minutes per eligible request to cover recurring costs. The arithmetic depends on eligible volume and usable time. A salaried team may use released hours to clear a backlog or respond faster. That is an operating benefit if it happens, but it is not automatically cash saved on payroll.
Keep routine and exceptional cases visible in the time log. If reviewers send a case back to the old process, count both the initial attempt and the time required to finish it. Include the time the team spends updating sources and answering review questions. A tool that saves time for the person drafting can still add work for the person who approves the answer. Compare both roles together. For a pilot with few cases, report the range of times and the reasons for the slowest cases alongside the average.
Agree on the quality test before running the pilot. For a sales reply, check whether the draft uses the right product, supports each factual claim and leaves decisions to the salesperson. Record severe errors separately from style edits. A case that takes two minutes but commits to a delivery date without evidence should fail the quality test. Track the percentage of eligible cases accepted, cases corrected and cases returned to the old process, alongside the time measure.
Keep the decision narrow after the pilot
Train the reviewers on what they can accept, which sources they can use and when to escalate. The UAE Government’s launch carousel for the UAE Skills platform illustrates the wider attention given to training and skills. For the pilot, make the training specific to the job. A reviewer should be able to find the approved source, recognise when it conflicts with the draft and stop the workflow when it goes outside scope. UAE Skills platform.
Keep a separate set of cases the team has not used to tune the instructions. Include ambiguous requests and examples with missing information. Run those cases before changing the workflow or declaring it ready for wider use. Save the source version and tool settings with the result. If a provider changes the model or the company changes the approved documents, rerun the cases that previously mattered most.
At the end of the test, compare the result with the original decision. Continue if the task is consistently faster, quality meets the agreed level and the data path is acceptable for the work. Revise if one class of requests causes most failures or if a better source document could reduce review time. Stop if the team cannot review the output reliably or the remaining benefit is too small. Keep the results and the cases that drove the decision so a different team can repeat the test.
Give the owner a way to suspend the pilot and tell staff where to complete outstanding cases. Check that the team can still reach its approved sources without the tool, particularly if the pilot becomes part of the daily queue.
If the first workflow succeeds, decide which part can expand without changing its risk. Adding more examples of the same request differs from giving the tool permission to act on the result. A new document source, user group or action may require a separate test. Keep a named owner and a fallback so the company can respond when source documents, vendor settings or the task change. A first use case earns a place in the business when the team can explain what improved, what it cost and how it will maintain the result.


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