AI-assisted tender assurance: greater speed without surrendering accountability
A responsible model for using AI to review BOQs, bids and contracts and flag anomalies while final authority remains with authorised committees and accountable professionals.
AI cannot legitimise a tender or issue an award decision. It can expand assurance coverage, accelerate comparison and surface questions that may otherwise disappear across thousands of pages.
Where AI adds value
The strongest use case is repetitive, document-heavy work requiring broad comparison, while technical, legal and commercial interpretation remains a clearly assigned human responsibility.
- Extract and normalise BOQ items
- Compare bids on a like-for-like basis
- Flag duplication, conflict and outliers
- Link findings to reviewable pages and sources
What must not be delegated to the machine
Eligibility, legal interpretation, acceptance of deviations, risk judgement and final recommendation remain under the authority of the mandated institution and its experts.
- Acceptance or exclusion decisions
- Interpretation of contractual obligations
- Public-interest risk judgement
- Sign-off and accountability
Trust and confidentiality controls
Responsible use begins not with the tool but with data classification: what may be entered, where it is processed, who reviews outputs and how an audit trail is preserved.
- Approved and defined processing environment
- Minimise unnecessary data
- Access controls and usage logs
- Dual human verification of critical findings
A low-risk pilot model
The system should first be tested on a closed or historical tender, compared with expert review, and measured for accuracy, time and error before any live-process use.
- Define use cases precisely
- Build a human-reviewed benchmark
- Measure false positives and omissions
- Document the scale decision after the pilot
The decision to take now
The objective is not to replace committees. It is to give them broader, faster and more traceable assurance under unambiguous human and legal accountability.
This brief presents Dr. Hasan Aljabur’s independent professional perspective, informed by the following international frameworks.
Dr. Hasan Talib Qasim Aljabur
An independent engineering, economic and development advisor connecting field experience, executive leadership, feasibility, project governance and urban planning through decision briefs and trackable delivery paths.
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