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The case for AI-native startups handling work beyond incumbent software

a16z says Lio’s CEO describes using multi-agent systems across procurement, from sourcing and requests for quotes to invoices.

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2 Sources, 6h ago, first seen 6h ago

TLDR

In an a16z discussion, Seema Amble argues that incumbent software may hold customer data without completing the work around it. Lio co-founder and CEO Vladimir Keil describes how Lio uses multi-agent systems for procurement tasks including sourcing, negotiation, shipment tracking and invoices. They also discuss how enterprises learn to trust agents with increasingly consequential decisions.

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33.6K

2 Sources, first seen 6h ago

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Combined views

33.6K

2 Sources, first seen 6h ago

154 likes25 comments99 saves22 reposts

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2 Sources

@a16za16z's Seema Amble on why AI-native startups still beat incumbents: the incumbent owns the system of record, the startup owns the whole job. "Why do you need an AI-native startup if you've got Claudeforce... You've got all your data, and your employees are used to the product. So why another product?" "I absolutely still think there's a case for the AI-native startup, and it centers around the fact that the legacy incumbent is limited to their system of record, and they're not completing the end-to-end job." "Say a customer calls and says they got charged after they cancelled. Resolving that isn't just the customer going into the chat and saying 'Hey, I got overcharged.'" "The response there has to hit billing, it has to look at all the chat history, it has to look at the contract. That's not one system of record, that's the knowledge around that customer and everything it touched." "The opportunity for the AI-native startup is to say: we're going to own that entire end-to-end arc. That could be legal, owning everything from brief all the way through trial... It's really the concept of owning the end-to-end work." @seema_amble6h
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    2 Sources

    @a16za16z's Seema Amble on why AI-native startups still beat incumbents: the incumbent owns the system of record, the startup owns the whole job. "Why do you need an AI-native startup if you've got Claudeforce... You've got all your data, and your employees are used to the product. So why another product?" "I absolutely still think there's a case for the AI-native startup, and it centers around the fact that the legacy incumbent is limited to their system of record, and they're not completing the end-to-end job." "Say a customer calls and says they got charged after they cancelled. Resolving that isn't just the customer going into the chat and saying 'Hey, I got overcharged.'" "The response there has to hit billing, it has to look at all the chat history, it has to look at the contract. That's not one system of record, that's the knowledge around that customer and everything it touched." "The opportunity for the AI-native startup is to say: we're going to own that entire end-to-end arc. That could be legal, owning everything from brief all the way through trial... It's really the concept of owning the end-to-end work." @seema_amble6h
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