Building AI Agents to Run Business Functions

An interview with AI startup founder Maurice Stephan examines a different approach to workplace agents: systems designed to take responsibility for business outcomes rather than isolated tasks. Stephan discusses the company’s funding, its approach to integrating agents into organizations, and the role of human oversight.

- The company’s $60 million seed round and $285 million valuation
- How agents could manage business functions end to end, including the need to learn organizational context and work within human-set guardrails
- Model selection, team hiring, and the company’s plans for its funding

For business leaders and people following enterprise AI, the conversation offers an overview of the company’s goals and operating approach. Viewers can use it to consider which business outcomes they might evaluate for automation and what context, oversight, and safeguards those efforts would require.