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WA

Waseem Alshikh

03/27/25

@ LangChain

Enterprise clients often have established metrics and performance indicators, allowing us to track how much time is spent on tasks and the impact of AI adoption.

Video

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How We Built It: Writer - Fireside Chat with Harrison Chase & Waseem Alshikh

@ LangChain

How We Built It: Writer - Fireside Chat with Harrison Chase & Waseem Alshikh

03/27/25

Related Takeaways

WA

Waseem Alshikh

03/27/25

@ LangChain

In healthcare, we measure the average time to process claims with and without AI, providing clear metrics for our clients.

WA

Waseem Alshikh

03/27/25

@ LangChain

Business users are increasingly taking ownership of AI tools, monitoring their performance and ensuring they align with business processes, rather than relying solely on IT departments.

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Sequoia Capital Cast

05/07/25

@ Sequoia Capital

Inspecting metrics like adoption, engagement, and retention is essential to understand how users interact with an AI product and its effectiveness.

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LangChain Cast

03/27/25

@ LangChain

Companies are increasingly focused on the business value of AI agents rather than just technical benchmarks, emphasizing the importance of measurable impact.

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Carlos

05/24/25

@ LangChain

Defining use cases and metrics before jumping on new tools is crucial for measuring success in AI implementations.

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Parker Conrad

01/11/25

@ Y Combinator

Our AI Performance Management feature predicts employee success based on their early work performance and interactions.

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Amit Bendov

05/20/25

@ Sequoia Capital

Task-specific AI agents are crucial for enterprise adoption, as they can handle specific tasks effectively without replacing human accountability.

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OpenAI Cast

05/07/25

@ OpenAI

We've saved over 1,800 staff hours a month by implementing AI solutions.

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Waseem Alshikh

03/27/25

@ LangChain

The biggest factor that excites our customers is the potential for time savings when deploying AI agents, often quantified as a 10-30% reduction in time across teams.