Our competitors are using AI to respond to RFPs and customer inquiries in real time, making us look slow and outdated. How do we speed up our response times using AI without sacrificing the deep, human diagnostic work that our clients value?

Question

Tyler Smith · Accepted Answer

Your competitors are trading depth for speed. While they win cheap, low-margin business by spitting out generic AI-generated proposals, you need to play a different game. You do not need to choose between speed and quality. Use AI where it excels, which is handling low-value, repetitive drafting tasks, so your team can focus on high-value human diagnostics.

Start by auditing your proposal process. Identify the cumbersome administrative steps that keep your sales team in low-value tasks. This is where you inject automation. Use an internal AI tool to instantly ingest historical project data and draft the standard, repetitive sections of your RFPs, such as company history, technical specs, and case studies. This should take your response drafting time from days to minutes.

This is where your human team steps in. Freed from administrative labor, your experts must use their extra time to conduct deep, diagnostic client interviews. This is how you implement what experts like Erik Brynjolfsson and Andrew McAfee describe as the business impact of AI. You are using technology to handle the routine, allowing your humans to perform high-value strategic work that machines cannot replicate.

Adjust your Scorecard to track this transition. Measure response drafting speed as an activity-based leading indicator, but keep your conversion rate and margin per deal as the ultimate metrics of success. By letting AI do the heavy lifting on the initial draft, your team can deliver a personalized, deeply analytical proposal faster than a human-only competitor, without sacrificing the strategic depth that commands a premium.