AI Vendor Selection in the UAE: Build an RFP That Tests the System

Define the decision before comparing vendors

Many buyers compare feature lists and supplier demonstrations before defining the business decision the proposed AI system must support. That sequence may identify an impressive platform without proving that it can deliver the required outcome.

The first task is to define the management decision. The organisation must state which workflow or decision will change, who is affected, what successful performance means and what consequences follow when the system is wrong or unavailable. The requirement should remain open to a different technical response when a simpler workflow change, conventional automation or analytical model would solve the problem more reliably.

Describe the operating conditions

A supplier's AI system will rely on the buyer's data, documents, integrations, permissions, users and escalation routes. The RFP should therefore describe the operating conditions in which the supplier's claims must hold.

Relevant conditions can include the volume and variation of cases, languages, service levels, data quality, customer groups, existing systems, required approvals, sensitive information, exception rates and the authority the system may exercise. A customer-service assistant that retrieves approved information presents a different procurement question from an agent that changes an account, authorises a payment or communicates a consequential decision.

Describing the operating conditions also exposes preparation required before procurement can proceed. If the organisation cannot provide suitable data, identify an accountable process owner or define how an incorrect action will be contained, the procurement may need to pause before a vendor is selected.

Turn the business need into an AI RFP

A useful AI RFP combines outcome-based requirements with enough operational detail for suppliers to propose and price a credible response. It should distinguish conditions that must be met from preferences that improve the offer.

The requirement can address:

• the outcome and users the system must support;
• the cases, sources, languages and channels it must handle;
• the systems and tools it may access;
• the actions it may recommend, prepare or execute;
• performance measures and unacceptable failures;
• human review, escalation, override and shutdown;
• traceability, logs and evidence retained for investigation;
• data location, access, use, retention and deletion;
• integration, deployment, support and knowledge transfer; and
• monitoring, updates, incident response, exit and data portability.

Outcome, operating, control and lifecycle requirements allow the buyer to compare complete proposals rather than isolated models.

Use decision gates before weighted scoring

A single weighted score can conceal a critical weakness. An attractive price or feature set should not compensate for a failure involving data rights, security, required integration, human control, auditability or the ability to leave the supplier.

Marketways separates non-negotiable gates from comparative criteria. A supplier must first demonstrate that the proposal can meet the conditions required for lawful, controlled and workable use. Proposals that pass those gates can then be compared on business fit, technical performance, implementation demands, operating cost, service arrangements and the strength of the supporting evidence.

The scoring model should preserve these dimensions rather than compressing every consideration into a number that appears precise but hides why one proposal is preferable.

Test suppliers on the same realistic scenarios

A demonstration shows what a supplier chooses to show. A comparative evaluation gives each supplier the same representative cases, instructions, constraints and success measures. Ordinary cases matter, but the test should also include ambiguity, missing information, conflicting sources, unusual requests, prohibited actions and the point at which a person must take over.

The evidence may combine scenario results, benchmark reports, technical documentation, reference checks, security and privacy reviews, operating records and a bounded proof of concept. Generic benchmarks can inform the decision, but they do not establish that a system works with the organisation's data, tools, people and consequence of error.

Results should report both successful and failed cases. A useful comparison explains what each system can do, where it fails, how failure is detected and what supervision is required to achieve the claimed outcome.

Examine the supplier as well as the product

The buyer is selecting an operating relationship as well as a technical system. Due diligence should examine the supplier's relevant experience, delivery team, governance, financial and service capacity, use of subcontractors, approach to security and data protection, support model and ability to explain material limitations.

The review should also establish how the supplier manages model and product changes. A system can behave differently after a model update, new retrieval source, altered prompt, integration change or expanded permission. The buyer needs advance information about material change, an opportunity to test it and the ability to restrict or stop use when the evidence no longer supports reliance.

Regulated organisations may have additional third-party duties. For example, current CBUAE guidance for licensed financial institutions addresses due diligence, audit and information rights, continuing monitoring, material provider developments, termination provisions and the institution's continuing accountability for outsourced AI.

Compare the complete cost and dependency

Licence or usage price is only one part of the economic decision. Compare the full cost and operating burden, not the quoted licence alone. The comparison should include integration, data preparation, evaluation, human supervision, exception handling, monitoring, support, internal capability, change requests and the cost of operating when the system is unavailable.

Dependency also has value and risk. The organisation should know what it can export, what knowledge it retains, which components can be replaced and what happens to its data and workflows at the end of the arrangement. Contract terms require legal review, but the operating and analytical work must make the relevant dependencies visible before those terms are negotiated.

Produce a defensible selection record

The final decision should state more than which vendor received the highest score. It should record the business outcome, mandatory conditions, evidence examined, unresolved assumptions, comparative results, total operating implications and reasons for the recommendation. It should also identify what must be tested or completed before implementation and which conditions would cause management to reconsider the choice.

A documented selection record allows leaders to distinguish a supported decision from an enthusiastic preference. It also gives the implementation and governance teams a clear starting point for acceptance tests, controls, monitoring and supplier management.

How Marketways supports AI vendor selection

Marketways helps the buyer translate the business question into an evidence-based procurement. The engagement can include problem definition, requirement design, data and workflow assessment, market review, demonstration scenarios, evaluation criteria, comparative testing, commercial analysis and a management recommendation.

AI Readiness and Opportunity Assessment is relevant when management has not yet established whether the use case deserves investment. AI Agent Evaluation and Assurance can provide independent test evidence for a defined candidate. AI Governance and Model Risk addresses ownership, controls and continuing reliance. Business Feasibility Study is relevant when the procurement forms part of a wider investment decision.

Marketways advises on the business, analytical and operating decision. Qualified specialists and the buyer's accountable functions remain responsible for legal interpretation, regulatory conclusions, penetration testing and independent cybersecurity assurance.

Evidence needed to frame the vendor decision

A defensible vendor decision begins with evidence about the business problem, intended users, current workflow, available data, existing systems, required integrations and known constraints. The buyer should also identify the people accountable for procurement, operations, technology, risk and the affected business outcome. An unfinished brief is acceptable because the engagement begins by clarifying what the organisation needs to buy.