Making AI a Competitive Advantage: 10 Questions Bid Professionals Should Ask

Introduction

With Artificial Intelligence (AI) now a mainstream productivity tool in the bidding process, the question is no longer simply whether AI saves time—it is how to use it effectively to increase the probably of winning without increasing risk.

Over 50% of respondents to our bid writing survey agreed that AI tools have improved the efficiency of their bid writing processes. However, 81% saw accuracy as the key concern. With this in mind, the APMP UK Bid Writing Focus Group’s AI workstream set out to establish the top 10 questions that bid professionals should be asking to turn experimentation into competitive advantage.

1.  What are we trying to improve with AI: speed, quality, win rate, compliance confidence, or all four?

Speed isn’t the only goal. Without clear intended outcomes, AI becomes scattered experimentation. We need to define what we want to achieve: faster drafts, fewer rewrites, stronger alignment, improved confidence in our compliance, or more time for strategy and review.

2.  Where is AI already being used across our bid lifecycle and do our teams have the skills to use it critically and consistently?

Fragmented or ungoverned use creates inconsistency and increases risk. Build visibility of AI across the bid lifecycle and ensure teams are trained to prompt, challenge outputs, verify accuracy, and apply judgement consistently.

3.  What are the right tools for our organisation?

AI tools can be costly distractions without a clear purpose. Define your AI strategy first to ensure tools support real value, not just experimentation.

4.  Are we feeding AI with trusted, current and governed content?

AI depends on strong inputs. Weak knowledge bases produce poor outputs, affecting credibility and compliance. Maintain a curated library of case studies, CVs, boilerplate, and methodologies with clear ownership and review cycles.

5.  How do we verify accuracy, compliance and client relevance before AI-generated content goes into a live submission?

Confidently incorrect content is high-risk because it appears helpful. Implement structured human review for factual accuracy, traceability, compliance, client relevance, and formal approval.

6.  How do employees feel about using AI—enthusiastic or resistant?

Enthusiasm without skill creates risk; resistance creates inefficiency. Train teams to interrogate outputs, refine language, adjust tone, and decide when not to use AI.

7.  What standard use cases, prompts and workflows do we want everyone to follow?

Without standardisation, teams experiment in isolation—leading to uneven quality. In bids, repeatability matters because multiple contributors may be using AI on the same opportunity. Define repeatable use cases (e.g. RFP analysis, answer planning, red-teaming, editing) with prompts and workflow checkpoints.

8.  How is AI changing our procurement processes and how are we adapting our bid approach in response?

Buyers are using AI to draft specifications and evaluate bids, raising baseline quality and exposing generic responses. Differentiate through evidence, specificity, clear structure, and client-focused insight.

9.  How will we measure whether AI is actually improving bid performance?

Employers need evidence that using AI is beneficial. Create a simple scorecard that tracks time saved (e.g. through fewer review cycles), quality gains, subject matter expert time released, compliance issues caught, and impact on bid outcomes.

10.  What is our roadmap for scaling AI safely, and what would make us stop, change or retire a tool?

Organisations need to assess maturity and establish a threshold for changing course if a tool creates more risk than it adds value. Adopt a phased approach—assess, pilot, test, measure, adjust, scale—with clear success criteria, ownership, timelines, and triggers for escalation or withdrawal.

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There’s no doubt that AI is changing the bidding landscape. It is up to us as bid professionals to establish formal processes and clear goals so we can easily track performance, identify successful implementation and target risky utilisation.

Follow us on LinkedIn to keep up with the incredible work our AI workstream is doing: https://www.linkedin.com/showcase/apmp-uk-bid-writing-focus-group/