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In this insightful episode of the GTM AI Academy podcast, host Jonathan Kvarfordt sits down with Amrutha Gujar, co-founder and CEO of Structured Labs. They dive deep into how AI is transforming revenue operations, discussing the power of first-principle thinking in tech innovation, and exploring the future of business intelligence tools. Amrutha shares her journey from software engineering at tech giants to founding a startup that's reimagining how companies leverage data for growth.

Highlights

• The importance of unifying fragmented data sources across sales, marketing, and customer success for a holistic view of business operations

• How AI-driven tools can reduce ad hoc data requests and enable RevOps teams to focus on strategic growth opportunities

• The shift from "software as a service" to "service as software" in the AI era, emphasizing end-to-end solutions

• The potential of multimodal AI models to create more immersive and efficient user experiences in business tools

• The concept of AI augmenting human capabilities rather than replacing jobs, allowing for higher-level thinking and problem-solving

• The vision of AI-powered personal assistants handling routine tasks to free up time for high-impact work Amrutha Quotes:

• "I think that there's a really, really big opportunity with AI in the go-to-market space. Specifically, I think what it enables people to do is spend less time on manual parts of the data preparation work, and it enables people to start from the output of that data preparation work and reason about decisions that need to be made that help with growth."

• "I see a future where there are thousands upon thousands of really small, really powerful, highly value-creative teams that are leveraging these AI tools to do more with less. And the surface area of problems that we can solve as a society is going to become a lot larger."

• "The last generation was software as a service. Now, it's service as software. People's expectations of this technology are changing every day. It's more about doing the job to be done, end to end, and not just doing one piece of the job like with software."

• "I think there's like a human nature to always push to higher levels of abstraction, as the things that are at the lower levels of abstraction become more and more automated. And I think that the upper bound of how people can think about problems and the types of things they want to accomplish - that upper bound is very, very unbounded."

About Structured Labs

1. Focus on Revenue Operations (RevOps): Structured Labs improves revenue operations by optimizing margins and identifying high-value customers, boosting overall efficiency and profitability with AI-driven insights.
2. AI-Powered Business Intelligence: The company provides AI-driven tools that help unify fragmented data sources across sales, marketing, and customer success functions. 
3. End-to-End Solution: Structured Labs aims to provide a comprehensive solution that covers the entire workflow, rather than just one piece of it. As Amrutha puts it, they're "not just BI, not just ETL, not just the Slack connection" but the entire job to be done end-to-end. 
4. Data Unification: Their tool serves as a single pane of glass into different business functions, helping to bring together data from various sources. 
5. Self-Service Analytics: They build better business intelligence tools that are more self-serve than existing solutions in the market, aiming to reduce ad hoc data requests and enable RevOps teams to focus on strategic growth opportunities. 
6. AI Integration: The company uses AI at every layer of their product, from data association and column mapping to generating insights and anticipating user needs. 
7. Customer Focus: Structured Labs is passionate about building for customers they care about, particularly noting the active and vibrant RevOps community.