BCG educates AI sales agent Jamie on its top products as well as their biggest errors.

      TL;DR: Boston Consulting Group is developing an AI sales agent named Jamie, which learns from both successful and unsuccessful sales behaviors using call transcripts and engagement patterns to coach human salespeople and adapt over time. Vercel has similarly reduced its SDR team from ten to just one human supervising the AI. BCG reported $3.6 billion in AI consulting revenue in 2025, making up 25% of its $14.4 billion total earnings, and is part of OpenAI’s Frontier Alliances for enterprise AI implementation.

      Boston Consulting Group is taking a unique approach with its new AI sales agent by training it on both successful and unsuccessful sales techniques. Named Jamie, the agent learns not only from the strong performances of BCG’s best sellers but also from the actions and strategies that did not succeed, including moments when human salespeople struggled to maintain rapport. While many in the industry have focused on the positive capabilities of AI, BCG is also emphasizing the importance of understanding what to avoid.

      Japjit Ghai, a managing director and partner at BCG X—the firm's technology division—discussed this training strategy in a recent podcast episode, stating, “We trained the agent by analyzing the top sellers, their call transcripts, and how they engage with customers, and taught Jamie to emulate that.” He added that Jamie was also trained to steer clear of the negative experiences of the least effective sellers.

      In a conversation with Business Insider, Ghai elaborated on how Jamie learns. The training draws from various sources, including internal expertise, client business knowledge, and BCG's past sales calls and transcripts. These recordings serve as a “repository of often underutilized assets” that help BCG identify effective sales strategies. The objective is not to perfectly replicate any individual seller but to extract patterns that highlight effective behaviors and engagement methods.

      The system also aims to coach the human sales personnel. Post-call, salespeople receive a customized scorecard from Jamie that reflects their strengths and weaknesses based on how they managed the conversation. Each interaction generates additional data that feeds back into the model, making Jamie an “always on muscle” that is continuously improving.

      BCG carefully frames Jamie not as a replacement for human salespeople but as a synthesis of collective knowledge, aiming to codify instinctive behaviors from its top performers for broader access. However, whether this mindset will hold up against the economic realities of AI deployment is uncertain; as systems capable of replicating effective seller behaviors develop, there may be inherent pressure to employ fewer salespeople, irrespective of initial intentions.

      This dynamic has already occurred at Vercel, a developer-focused cloud platform, which applied a similar concept by training an AI agent on its highest-performing sales development representative. This led them to cut down their ten-member SDR team to one human overseeing the AI agent. While the other nine members were reassigned to outbound roles, the clear message was that once an AI agent learns the best practices of a top employee, the necessity for a larger sales team diminishes.

      David Totten, Vercel’s vice president of global field engineering, commented in October that “modeling after top-performing employees has long been a standard practice. The technology now allows us to expedite this process.” The company noted that the AI agent now manages inbound qualification, filters out spam, and directs leads—tasks that once occupied an entire team.

      For BCG, Jamie represents a broader strategic commitment to AI, with the firm reporting $14.4 billion in revenue for 2025 and approximately $3.6 billion of that coming from AI-related consulting, according to an April disclosure by Bloomberg. AI and technology services now make up more than 40% of BCG’s total revenue, leading to workforce expansion to 33,500 employees, including more AI engineers, data scientists, and IT architects.

      BCG X, where Ghai works, was established in late 2022 by merging three subsidiaries—BCG Digital Ventures, BCG Platinion, and BCG Gamma—into a single unit of over 3,000 technologists, scientists, and designers. The division develops AI-driven solutions for clients such as L’Oreal, BMW, and New York Life. Thus, Jamie is not solely a tool for BCG’s internal use but also exemplifies its market offering: the premise that AI agents can learn from an organization’s best salespeople and systematically apply that knowledge.

      The wider consulting industry is following a similar trajectory, with OpenAI forming partnerships with BCG, McKinsey, Accenture, and Capgemini in February to deploy its Frontier AI agent platform. Each consulting firm is investing in dedicated practice groups and teams certified in OpenAI’s technology, focusing on helping clients redesign workflows, integrate AI agents, and manage the resulting organizational changes.

      What makes BCG's strategy with Jamie notable is its recognition, which is still uncommon in corporate AI circles, that training solely on successes falls short. Every sales organization understands that top sellers often