Ordering development and maintenance services for artificial intelligence-based applications

This tender for AI application development and maintenance is well-structured and highly detailed, demonstrating strong legal compliance, clarity, and completeness, though it could benefit from explicit sustainability criteria.

The tender demonstrates strong legal compliance with reasonable deadlines, clear use of the ESPD, electronic submission, and adherence to WTO/GPA principles. While the procedure type codes are listed as N/A, the characteristics (e.g., Negotiation Allowed, Framework Agreement) provide sufficient clarity on the intended process. No disputes or suspensions are reported.

The tender is exceptionally clear, with a well-defined description, comprehensive AI-extracted requirements, and detailed documentation across 13 documents. Evaluation criteria, performance conditions, and project rules are explicitly stated, ensuring bidders have a thorough understanding of expectations.

This tender is highly complete, providing all essential information including title, reference, organization, financial details, and timelines. The extensive set of 13 attached documents, covering technical specifications, qualification requirements, evaluation methodology, and contract drafts, ensures a comprehensive information package for bidders.

Fairness is generally good, with full document access, disclosed value, reasonable deadlines, and objective, transparent evaluation criteria (40% cost, 60% team competence). E-procurement ensures equal access. However, the requirement to maintain an 'existing LLM-based intelligent search prototype' could potentially favor an incumbent or specific technology provider, although the provision for proving equivalency for technologies mitigates this concern.

The tender supports electronic submission and e-procurement, enhancing practicality. The contract duration is clearly specified. While a specific contract start date is not explicitly provided, it can be inferred from the timeline. The estimated value is available, but detailed financing information (e.g., specific funding source) is not elaborated.

All key fields are populated, and the data is highly consistent. There are no reported suspensions or disputes, and all dates (reveal, submission, opening) are logical and coherent within the tender timeline.

While the subject matter (AI application development) is inherently innovative, the tender documents do not explicitly incorporate green procurement criteria, social aspects, or specific innovation-focused requirements beyond the core service itself. This limits its score in the sustainability category, which typically assesses the integration of environmental, social, and broader innovation considerations into the procurement process.