Project Description
AI bid review
£1m technology central government tender reviewed in under 10 minutes with AI
High level timeline:
January 2026 – AI bid review for a central government platform tender.
Why Bid Bot?
The company needed additional bid resources, and wanted one of our consultants to help write and review the tender.
What has Bid Bot help them achieve?
- AI bid reviewing in under 2 minutes instantly notices trends in the bid responses around delivery metrics and question requirements.
- Greater resilience during staff shortages
£1m bid reviewed with AI
Bid review in under 10 minutes
Annual platform commitment
The Bid Bot platform has become a valuable tool in supporting our bid development and review process, helping us work more efficiently while maintaining high standards. The technology enhances our workflow whilst allowing the final output to be human-led. When required, the Bid Bot team has also provided timely hands-on support, ensuring we can deliver well-considered, high-quality responses.
Bid review AI
Identifying trends in bid responses instantly
A technology company invited us to support the review of a live tender submission shortly before the deadline. We were brought in as a consultant five days before submission to review and strengthen the bid responses.
To support the process, the organisation approved the use of the Bid Bot platform, allowing us to run the review and improvement process directly through the system.
The Review Process
The bid contained 10 quality questions and responses, supported by the customer specification.
Step 1 – Bid upload (10 minutes)
The questions, draft responses and specification were uploaded into the platform.
Step 2 – Automated bid review (2 minutes)
The Bid Bot review tool analysed the entire submission.
Step 3 – Review reporting
An automated report generated:
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Overall bid score
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Individual question scores
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RAG rating system across responses
Each question included a detailed analysis covering:
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Alignment with the question and specification
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Buyer requirements
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Role persona expectations
- Default Bid Bot marking scheme
Step 4 – Analysing the results
The responses were generally of good quality, with only a few questions missing elements of the customer requirements. However, we identified a consistent gap in the use of delivery metrics and measurable outcomes. This resulted in Bid Bot benchmark scores averaging between 70 and 75 percent.
Providing evidence and measurable delivery metrics is often critical in tender responses because buyers typically score bids against structured criteria such as quality, delivery approach and evidence of capability.
Step 5 – Word document feedback
We provided comments directly in the Word document outlining where improvements could be made. This included suggested content snippets to strengthen responses, ensure the question requirements were fully addressed and highlight where delivery metrics should be included.
