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The case for long-running AI agents and outcome-based pricing

a16z envisions a personal-injury case agent that could contact witnesses, keep clients updated and prepare documents for review.

a16zA1
1 Source, 2h ago, first seen 2h ago

TLDR

a16z argues enterprise AI could move from assistants handling brief tasks and agents handling single interactions to long-running agents pursuing goals for weeks or months. It suggests vendors could price that work around outcomes rather than just cost savings. The firm also notes obstacles, including restrictions on non-lawyers sharing legal fees, procurement resistance and questions about how much of a result an agent contributed.

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10.6K

1 Source, first seen 2h ago

77 likes23 comments91 saves5 reposts

Combined views

10.6K

1 Source, first seen 2h ago

77 likes23 comments91 saves5 reposts
Image: @a16z on X

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1 Source

a16z@a16zHow AI for the enterprise is evolving, from owning a task to owning an outcome: 1. Assistant: handles one task in seconds, like sending a follow-up email. Companies pay for it out of their software budget. 2. Agent: handles one interaction in minutes, like a customer's refund call. It takes on work people used to do, so it gets paid for out of the labor budget. 3. Long-running agent: works toward a goal for weeks or months, like getting an injured client the biggest settlement possible. Because it owns the result, the company selling it can price on the outcome it delivers. Full piece from a16z's @dhaber on long-running agents in high-value customer journeys: https://www.a16z.news/p/winning-the-relay-race-long-running2h
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    1 Source

    a16z@a16zHow AI for the enterprise is evolving, from owning a task to owning an outcome: 1. Assistant: handles one task in seconds, like sending a follow-up email. Companies pay for it out of their software budget. 2. Agent: handles one interaction in minutes, like a customer's refund call. It takes on work people used to do, so it gets paid for out of the labor budget. 3. Long-running agent: works toward a goal for weeks or months, like getting an injured client the biggest settlement possible. Because it owns the result, the company selling it can price on the outcome it delivers. Full piece from a16z's @dhaber on long-running agents in high-value customer journeys: https://www.a16z.news/p/winning-the-relay-race-long-running2h
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