Seeking Insights on Commercial Integration of AI Co-Pilot into Existing Features and Value Propositions

·May 27, 2026 09:36 AM·

Hi everyone, I'm looking to speak with anyone who has introduced AI functionality/co-pilot into their existing feature suite and how they've approached it commercially? We're looking at doing something similar and revisiting our core value proposition as a result. I'd love to speak to anyone who has navigated this change and the trade off of different approaches.

4 comments

· Sorted by Oldest

Brice E.
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This is a really interesting problem space. One thing I’ve been noticing is that adding AI often changes the perceived value layer of the product itself — sometimes customers stop evaluating the original workflow and start evaluating the “intelligence quality” instead. Curious whether you’re finding the bigger challenge is packaging/pricing the AI capability itself, or redefining the broader product narrative around it?
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Abby S.
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I think the latter shapes the former, but ultimately we want to drive revenue outcomes so the question is whether reshaping the broader product narrative is the best approach to deliver this or not
Satchit S.
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When you say AI functionality, are you talking about how it is right in the forefront or is it a tool to support another feature? e.g. are you marketing a RAG or a chatbot, or something like fraud prevention which can use AI but is not marketed necessarily as AI? We've done the latter. For the former, you need to pay attention to a few security aspects as well, including prompt injection (to say the least). Edit: Think i just phrased Brice's question in a different way 🙂
Abby S.
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I would say the former is most applicable for this specific feature development, but if we felt there was a strong case for focusing on building based on the latter then that would shift the product development focus. It's early stages from an iteration perspective (i.e. I'm not trying to work out how to structure or commercialise something that's already built)
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