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Co-Founder Markprompt (YC W24) | Maths @ Cambridge | AI Infrastructure for Customer Support

At Markprompt, we are building AI for customer support. One of the things we see consistently is “knowledge base debt” - it’s like legacy code, but for customer support materials. At a company we recently started working with, we have seen the knowledge base reduced from 11000+ articles to under 6000 within a span of 3 months. The docs and engineering teams are now pushing updates dozens of times a day, and their docs went from calcified to vibrant and always up to date. Why? Because having an AI powered support agent analyze conversations and content can quickly uproot outdated content and inaccurate articles. Support teams receive fewer tickets from customers asking about obsolete or incorrect support content, and customers are satisfied because they can find the correct answers on their own, with no inconsistencies. “Knowledge base debt” will be critical for companies to solve: it means fewer headaches for support teams, and happier customers.

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Mariena Quintanilla

AI Consulting and Development for CX teams | AI Speaker and Educator | Marching Band and Soccer Mom

1mo

This is awesome! Where can I learn more about the approach?

Paul Justin Aranzamendez

Full Stack Engineer / Solutions Architect

1mo

This has been a struggle especially on technical documentation with new updates being undocumented! Glad there's a push toward better and more up-to-date docs, and happy Markprompt's one of those leading the charge! Keep rocking!

Rakesh Goyal

Founder & CEO @Velt, Superflow (Y Combinator W22). X-Google

1mo

this sounds pretty awesome! Something we spend a lot of manual time on. We will try it.

Selim Dusi

Investor | Chairman | Member of SICTIC | Business Angel | Accredited Board Member of Board Matching Switzerland Platform

1mo

Michael F. 👏

Steven Fabre

CEO at Liveblocks | Build collaborative experiences faster

1mo

Amazing!

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