Level Up Your Tender Review Game With AI Red Teams

TLDR: AI is a great tool for revolutionising tender red-team reviews. Get objective, consistent feedback 24/7 at a fraction of the cost. 

Why AI Red Teams Are Game-Changers for Proposal Reviews

Traditional red team reviews face persistent challenges with high consultant costs, scheduling conflicts, inconsistent feedback and limited availability during critical bid deadlines.

For bid managers and tender writing professionals, these obstacles can be what stands between winning and losing multi-million dollar contracts.

Instead, AI-powered red teams offer a solution for providing objective proposal evaluation whenever you need it without the traditional barriers that plague conventional review processes. 

Benefits of Using AI For Red-Team Bid Reviews

1. True Objectivity - AI can evaluate your proposal objectively following instructed personas like “Government evaluator” or “Technical Evaluation Panel Member”, and apply exact RFP criteria without internal company biases or personal relationships affecting the assessment.
2. Consistent Review Standards - Traditional red teams can be susceptible to varying feedback every time. Whereas AI applies identical assessment frameworks across all proposal sections, ensuring standardised feedback quality throughout your tender response.
3. You Control the Timeline - Eliminate scheduling conflicts and external consultant dependencies. AI red teams integrate with your bid timeline, providing instant reviews during those crucial final weeks before submission.
4. Speed and Iteration - The difference between good and winning proposals can often be 3-4 revision cycles. While traditional red teams typically provide limited review rounds due to cost and availability constraints, AI enables unlimited iterations to refine your proposal until it's competition ready.

Use This Example Prompt To Get Started: 

• Assign the AI a persona: "You are a [government evaluation panel/ private sector buyer/ technical evaluator] reviewing this tender response section"

TIP: Use different personas based on different proposal sections e.g. industry expert perspective for technical sections, customer stakeholder viewpoint for value assessment. (After all, red-teams are usually a team of people, so you want to mimic this range of expertise with AI). 

• Input RFP Evaluation Criteria, specific weightings and scoring methodologies
• Set up a scoring method:
  • Red = Major deficiencies, non-compliant
  • Yellow = Generally compliant but incomplete
  • Green = Compliant with minor improvements needed
  • Blue = Fully compliant, compelling and positioned to win

For each section ask AI to provide: Colour-coded rating with clear reasoning, top 3 strengths, top 3 weaknesses, specific actions and suggestions to reach blue rating, compliance check against RFP requirements.

Best Practises For AI Red Team Implementation

• Run multiple review cycles, AI never gets tired so use this to your advantage when refining your proposal. But also don't forget it can take more than one prompt to get the desired set of instructions needed for the AI to accurately follow.
• Focus on sections scoring Red or Yellow first.
• Cross-check AI recommendations with your technical expertise.

Summary

AI red teams are a great way to get tech leverage during the review process. While they excel at identifying gaps, remaining objective and providing critical feedback that human reviewers may miss. They don’t replace deep technical or strategic insights. Make sure that you are still using your human judgement and do final checks when using AI. This is just good practice.