Arpy Dragffy Guerrero
speaker
627 appearances
7 recordings
1 series
first heard May 2026
last heard 6 Aug
Arpy Dragffy Guerrero’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 7 in all, peaking in Jun 2026 with 3.
Appearances
Since you are in the business of procurement, you see the buy side of AI every day.
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How do large organizations actually decide which AI product or platform to use?
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And how do different vendors prove that value in their pitches?
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Are you finding because a lot of the research and the conversation discourse around this is people like to talk about time saved or increase of output, but you've mentioned things around, you know, time to value, but also like auto resolution rates and number of edits required.
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Are you finding that the more that you're shifting towards these like real business value metrics in your conversations, that it's making it easier for people to?
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understand what you are offering or are you finding people are still very stuck in that like time savings conversation?
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So frontier models are getting better every quarter or faster, and they are chipping away at use cases that mid market SaaS companies have previously monetized.
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How does a company like Procurify protect that product layer?
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You mentioned earlier about some of the customer research that you've done or just the research that really went into building some of these tools and also about how important trust became.
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In what ways was research so important to building out these agents and allowed you to build them in a way that was different than what you were previously able to do?
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So to close us out.
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If you were to look back on let's say the last year of the work that you've been doing, if you were to go back and tell a year ago, Jonathan, advice on how to do it better or what to think about that maybe people aren't haven't really figured out yet or think that they know, but they aren't doing very well, what advice would you go back and give yourself?
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Perfect.
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All right.
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Well, thank you so much, Jonathan.
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Really appreciate your time today.
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And thank you for sharing so much about what you've been working on.
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Thank you for listening to the Product Impact Podcast.
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If you enjoy this episode, make sure to follow us and leave a comment to inform the conversation.
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Every 1% increase in the context your AI agents receive produces 0.38% improvement in output quality.
Showing 601–620 of 627 · page 31 of 32
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