Learn how leading teams use AI to speed up bids, improve accuracy and win more work whilst keeping people at the heart of the process.
AI is everywhere right now. Especially in the world of sales, proposals, and bidding. Every week, someone claims their platform will write your whole response, pick the perfect answer, or deliver a bid in seconds.
It sounds impressive. But let’s be honest… a lot of it is noise.
And for teams who care about winning work the right way, the hype is frustrating. Because underneath it all, there are real tools doing real work. The challenge is knowing where AI adds value and where it just adds confusion.
Let’s break it down.
The Hype: What AI Can’t (and Shouldn’t) Do
Despite the headlines, AI is not a silver bullet. It can’t:
And if you feed it poor inputs, you’ll get poor outputs.
The Reality: Where AI Is Genuinely Helping
The good news? When used correctly, AI is making a massive difference, especially in time savings, consistency, and accuracy.
Here’s where it works:
Used this way, AI doesn’t replace your team… it removes the admin that slows them down.
How Teams Are Using It
Some of the most successful teams I’ve worked with aren’t trying to automate everything. Instead, they use AI as a co-pilot:
These are teams cutting bid prep time by 70% or more. Not by taking shortcuts, but by working smarter. Less searching, less formatting, less firefighting. More time spent sharpening win strategies and focusing on the client.
Getting Started Without Overcommitting
If you’re early in your AI journey, keep it simple:
You don’t need to revolutionise everything overnight. But the sooner you reduce friction, the sooner your team gets back to doing what they do best.
AI isn’t here to replace great bid, proposal & sales professionals. It’s here to support them. To take care of the repetition, the formatting, the content-hunting so they can focus on strategy, clarity, and persuasion.
At Answertree, that’s what we’ve built for. AI that fits around the way real teams work. Fast, accurate, and focused on what matters.
In the end, the teams winning won’t be the ones who use the most AI. They’ll be the ones who use it the most intelligently.
