Introduction
The programme “Improving Bid Evaluation Efficiency Using Artificial Intelligence” develops professional practice in Tenders and Bids. It connects the subject with workplace challenges by examining existing evidence and practices and choosing methods appropriate to the organization and its available resources.
The learning progresses from tender preparation and evaluation to governance, accountability, and compliance management, with practical work on artificial intelligence applications and controls, procurement planning and supplier evaluation, contract drafting and allocation of obligations and risks. Participants prepare outputs to support workplace application and review the quality and results of implementation.
Learning objectives
- Prepare tender documentation, evaluation criteria, and a documentation process that ensures clarity and fairness in an application related to “Improving Bid Evaluation Efficiency Using Artificial Intelligence”.
- Design an AI use case with verification criteria and human review.
- Prepare a purchasing plan and bid comparison based on needs, specifications, and published criteria.
- Draft contractual clauses connecting scope, acceptance, payment, and risk allocation.
- Define decision-making authority, accountability mechanisms, and obligation monitoring.
Learning areas
1. Tender Preparation and Evaluation
- Define the tender scope, deliverables, and acceptance criteria, and review the approval mechanism, budget, and applicable local regulations.
- Prepare solicitation documents, terms, schedules, and relevant guarantees, ensuring consistency across technical, financial, and contractual requirements.
- Set evaluation criteria, weights, and exclusion rules before receiving bids, and organize responses to inquiries and the management of amendments.
- Conduct a documented training evaluation showing evidence, results, and conflicts of interest, separating technical examination from financial comparison under the approved procedure.
- Draft an award recommendation and procedures for notification and handover to contract management, retaining documents, responses, and the objection and review trail. The application examines a case related to “Improving Bid Evaluation Efficiency Using Artificial Intelligence”.
2. Artificial Intelligence Applications and Controls
- Identify a task that AI can support, and separate inputs and human decisions from outputs produced by the tool.
- Prepare suitable test data and examples while respecting confidentiality, privacy, and permissions, and use de-identified training exercise data.
- Write clear instructions covering the task, context, constraints, and output format, and compare multiple formulations using a fixed set of examples.
- Check outputs for errors, bias, and unsupported information, and identify cases that require specialist review.
- Assess the feasibility of use in terms of quality, time, cost, and risk, and document controls for approval, monitoring, and stopping when failures occur.
3. Procurement Planning and Supplier Evaluation
- Analyze the need, request timing, and life-cycle cost, checking for alternatives available in inventory or existing contracts.
- Write clear specifications, scope of work, and acceptance criteria, avoiding restrictions that the nature of the need does not justify.
- Study the supplier market, define the procurement method, timetable, and authorities, and refer to applicable regulations and policies.
- Compare bids using published technical and financial criteria and documented weights, and prepare a record showing assessment evidence and potential conflicts of interest.
- Build a mechanism for monitoring delivery, quality, obligations, and change, and measure supplier performance and address noncompliance.
4. Contract Drafting and Allocation of Obligations and Risks
- Define the contract's purpose, parties, legal capacity, signing authority, and constituent documents, and verify the relevant law and jurisdiction.
- Draft a clear scope, deliverables, acceptance criteria, and delivery schedule, and clarify the relationship between specifications, appendices, and document precedence.
- Review price, payment, change, warranty, and liability terms, connecting obligations to verification methods and evidence that can be retained.
- Define notice, delay, suspension, termination, and dispute resolution mechanisms, checking internal consistency and ensuring clauses do not conflict.
- Prepare a matrix for managing obligations, deadlines, correspondence, and changes, and practice handling a disagreement over scope or acceptance.
5. Governance, Accountability, and Compliance Management
- Map decision-making, oversight, and execution levels, and identify separation of roles and potential conflicts of interest.
- Review policies, committees, delegated authorities, and reporting frequency, and connect each responsibility to clear authority and limits.
- Create an obligations register specifying the source, scope, responsible party, and compliance evidence, and review applicable local requirements.
- Define disclosure, accountability, complaint handling, and misconduct reporting mechanisms, and protect information confidentiality during follow-up.
- Assess a practical governance case and prepare a gap remediation plan with review indicators and evidence of action closure.
Practical outputs
- A requirements document, evaluation matrix, examination record, and award recommendation.
- A use case brief and a test template for the quality of AI outputs.
- A procurement plan, supplier evaluation matrix, and contract follow-up template.
- Draft contract clauses, an obligations matrix, and a contract review checklist.
- An authority matrix, obligations register, and escalation and review mechanism.
Who should attend
- Practitioners, specialists and supervisors whose work relates to the programme subject.
- Managers and teams working in tenders and bids, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “Improving Bid Evaluation Efficiency Using Artificial Intelligence” within their organizations.
Prerequisites
- Working familiarity with the programme field and the ability to discuss a professional case or challenge.
- Confirm the suitability of your experience and any specialist prerequisites with the Union before participation.
Conclusion
The programme “Improving Bid Evaluation Efficiency Using Artificial Intelligence” brings together concepts, case review and a practical application. Participants prepare steps that can be adapted to their responsibilities and organizational resources, with an indicator to follow application and review results after returning to work.
Participation arrangements and any special requests are specified in the confirmation issued by the Union.