Why AI Proposals Increase Risk — and What ‘Human-in-the-Loop’ Design Gets Right

Webinar Description

It’s the ultimate productivity dream: click a button, let GenAI auto-populate your proposal, and finish a draft in seconds. But there’s a catch. Research shows that when a draft looks “finished,” our brains switch from verification mode to confirmation mode. We stop looking for what’s wrong and start looking for why it “sounds right.”

In the high-stakes world of proposals, this “Normal Blindness” leads to missed requirements, hallucinated claims, and embarrassing typos that scaled faster than your team could catch them.

What We’ll Cover:

• The Myth of the Safety Net: Why “catching it in proofreading” is a losing bet against how human attention actually works.
• The “Stickiness” of AI: How automation bias makes suggested answers feel like the “default truth,” leading to uncritical rubber-stamping.
• The Power of Beneficial Friction: Why adding intentional “speed bumps” into your workflow actually increases accuracy without slowing down your team.
• Recommend → Preview → Choose: A new pattern for proposal workflows that keeps humans in the driver’s seat as decision-makers, not just checkboxes.