Basis AI Co-founder Advocates for 'Internal Agent Teams' in Emerging AGI Era

New York – Mitchell Troyanovsky, co-founder of Basis AI, a Factorial Capital portfolio company, posits a significant organizational shift for businesses entering the Artificial General Intelligence (AGI) era: the necessity of "internal agent teams." This concept, recently highlighted by Factorial Capital Managing Partner Matt Hartman on social media, suggests a natural progression from traditional IT departments and modern data teams.C

Hartman's tweet, referencing Troyanovsky's insights, stated, "The PC era created IT departments. The internet era created data teams. The AGI era demands an internal agent team. Here is how to think about them." This underscores a growing belief among AI industry leaders that future enterprises will rely on sophisticated AI agents to manage complex internal workflows.

Basis AI, founded in 2023 and headquartered in New York, specializes in developing AI agents specifically for the accounting sector. The company recently secured a $34 million Series A funding round in January 2025, reflecting investor confidence in its vision. Basis aims to equip accountants with AI agents that can learn, reason, and take action, integrating seamlessly with existing systems to automate tasks like reconciliations and journal entries.

Factorial Capital, led by Matt Hartman, is a venture capital firm with a clear focus on investing in "technical founders starting companies that couldn't exist a year ago for some technology reason," with a strong emphasis on AI. Their investment in Basis AI aligns with this strategy, supporting companies at the forefront of AI innovation.

The shift towards internal agent teams, as advocated by Troyanovsky, suggests a future where AI systems are not merely tools but active collaborators within an organization. This evolution implies a need for new internal structures to manage and integrate these autonomous agents, potentially leading to increased productivity and efficiency across various business functions.