AutogenAI’s Post

Transcript

So one of the things we're going to talk about today is whether the use of AI embedding means less human involvement. We don't think it does. The clients we're talking to are maintaining their head count and they are simply bidding for more in many cases and winning more, but they're certainly not letting people go. What's your experience? Yeah, I think it's a it's a common sort of idea that the idea. Of having technology to help you generate content will mean less human involvement in bidding. But through experience I can say that's not true ultimately. The use of this technology for me helps us redress that balance of time between the two types of tasks in bidding. The first being tasks that need to be done in a bid that don't necessarily add up to a win. So I'm talking things like compliance, passing data, the more mandatory type issues, and the second group of tasks. So those tasks that help you win that bid. And that might be, yes, writing elements of of content, but it's also things like the catch plan as we discussed, so. That critical analysis of the customer, the opportunity, the competitive landscape and your internal strengths and weaknesses to generate the wind themes and that overarching wind strategy which ultimately that value proposition, if you will. Yeah, that differentiates your offer from from the next organization through to things like storyboarding and proposal planning. So good project management of the bid itself with human writing the content inevitably it takes longer than using. AI to generate that content that means that I'm spending more time getting to first draft and less time refining the bid with the use of AI autogen as I've as I've used it I'm spending a lot less time getting to first draft to a good enough stage that's sort of 70% quality and I'm getting to spend much more time polishing that content to get me as close to 100% on quality as I possibly can and and and I think that when we talk about the human element it's still absolutely critical because when I've generated. Content, it still needs to be reviewed, it still needs to be read and I need a big professional to understand what good content should look like in the 1st place. I also need a human to prompt the AI to, to use it properly, to pilot it, to give it the right instructions, to use the, the full suite of functionality in order to get the best outputs. So I don't, I don't see, you know, any sort of withdrawal of the human element from, from, from being at all through. I think there's a couple of points we see, we call it augmented. Intelligence what we're doing is we're augmenting human capability, we're adding to human capability. AI can read bid documents in a fraction of the time it would take a human and therefore synthesize the requirements. A I can pull together case studies, statistics, evidence to support it it much more quickly than a human will be able to try and scour an organisation to find the most relevant documentation and and why did people like us enjoy bid writing? We enjoy it not we don't enjoy the bit that says we've got to go and. Find all the relevant evidence for a bid. We enjoy it because we enjoy the, the, the writing and the polishing and the telling of a story and the wind and the wind. And we definitely enjoy the win. Yeah, we live for the wins. We forget the losses. We live for the wins. But, but I think that's true. I think the bid writing profession and the amazing individuals who, who are bid writers, they can do things that I can't do. They have judgment as to what reads well. They have judgment as to are we telling a compelling story? They understand how to generate wind themes. AI doesn't do that. So the human stays critical. Absolutely, you know, and and you're absolutely right that that in that capture planning phase a I just can't do that. It can't come up with those sort of. Judgments to understand you know what makes our organization what makes our offer special in relation to the competition but also simple things like you know AI is great at finding lots of sources of information much faster than a human can but somebody still needs to go through and say well what's the validity of that source and and is it actually telling me something that I want to repeat because. Only then can I then point the AI at that to generate the content. So it's absolutely critical that there's an interesting analogy with radiology. So a few years ago when it was seen that AI could very quickly analyse scans, they thought radiologists would go out of business and there would be a decline in the number of radiologists that were working. And what they actually found was the AI would do the reviews of the scans and then a radiologist would be would have more time to explain to the patient what course of treatment might need to look like. Or to, to look at a health plan or something like that. So actually radiologists were using their higher capability sets, but the AI was helping in the first instance to, to do the scanning much more quickly. So it gave the radiologist back time to do the value add piece. And that's exactly what's happening with exactly the same.