Jonathan Corbin, the Founder & CEO of Maven AGI, previously served as the Global Vice President of Customer Success & Strategy at HubSpot. In this role, he led a team of around 1,000 customer success, partner success, and contract managers across various regions and verticals. His focus was on driving customer retention, revenue growth, and value realization for over 200,000 customers worldwide, ranging from startups to enterprises.
Maven AGI is a comprehensive Generative AI native solution that aims to revolutionize the customer support landscape. While operating in stealth mode, Maven’s technology autonomously resolved over 93% of customer inquiries, resulting in an 81% reduction in support costs and an enhanced customer experience across multiple languages for early customers.
Prior to your role as the global Vice President of Customer Success & Strategy at HubSpot, you led a large team across different regions and verticals. What were the key takeaways from that experience?
During that period, Hubspot was one of the fastest-growing B2B SaaS companies with over a billion dollars in revenue. The challenge was to create scalable approaches to planning and growth, ensuring clear objectives, aligned incentives, and systems for visibility across the organization. The focus was on maintaining continuity at exponential growth levels.
What inspired the launch of Maven AGI, and how long were you in stealth mode?
The inspiration came from the vision of unlocking siloed data to create personalized experiences at an individual level. The technology needed to achieve this didn’t exist at the time. Maven AGI was started about a year ago in stealth mode to prioritize impact and demonstrate real examples of its capabilities before making a public announcement.
How would you define AGI in the context of Maven AGI?
AGI stands for artificial general intelligence, focusing on business applications with functional AI agents trained for specific tasks and an orchestration layer for collaboration.
What are some of the main challenges with traditional AI integration in customer support?
Historically, AI in customer support relied on deterministic machine learning models that lacked dynamic personalization and the ability to reason effectively.
How does Maven AGI reduce customer support costs and enhance customer satisfaction?
By providing instant, personalized responses to customer inquiries at the forefront of support channels, Maven AGI allows human agents to focus on more complex interactions, improving overall customer satisfaction.
What technological advancements enable Maven AGI’s high rates of autonomous issue resolution?
A strong engineering team with experience in data challenges and personalization at scale has been crucial. Ingesting vast amounts of data and building an action engine to anticipate user needs are key factors.
Can you share more about the recent $20M Series A funding for Maven AGI?
The funding will be used to expand the GTM team, build the partner ecosystem, and enhance the platform capabilities to further develop the action engine.
How do you foresee the role of AI evolving in customer support over the next five years?
Customer support will become part of a seamless, unified customer experience with instant personalized responses and efficient engagement across various channels.
For more information about Maven AGI, visit their website here.
