As artificial intelligence transitions from consumer novelty to corporate infrastructure, the companies building these models are being forced to professionalize their sales operations. OpenAI, the prominent artificial intelligence research organization behind ChatGPT, has been actively working to refine its enterprise outreach. Before former Slack CEO Denise Dresser joined the company in December as its chief revenue officer, OpenAI’s efforts to sell its products directly to business customers were sometimes characterized as clunky and disjointed.
The friction was particularly evident in the company's early channel partnerships. Earlier in 2025, OpenAI struck a distribution agreement with Databricks, a major provider of cloud-based data engineering and database software. The premise of the deal was straightforward: Databricks would sell OpenAI’s products alongside its own enterprise software suite. However, the execution quickly revealed structural growing pains within OpenAI's go-to-market strategy, leaving potential corporate buyers confused about how to navigate the procurement process.
The mechanics of enterprise distribution
The core issue stemmed from a lack of alignment between the two organizations' sales forces. According to Andy Kofoid, president of global field operations at Databricks, potential customers were frequently confused about which salespeople they were supposed to reach. Because the two sales teams were not always in sync, the dual-channel approach created an operational muddle rather than a seamless purchasing experience for enterprise IT departments.
Resolving this bottleneck became a primary focus for Dresser following her appointment. Dresser, who previously served as the chief executive of Slack, the widely used workplace messaging platform owned by Salesforce, brought traditional enterprise software experience to the AI developer. She worked directly with executives at both Databricks and OpenAI to straighten out the overlapping outreach. By establishing clear rules of engagement, the companies were able to present a unified message to prospective buyers, eliminating the friction that had previously stalled complex enterprise deals.
Moving beyond the early adopter phase
The operational realignment has already begun to yield tangible commercial outcomes. Armed with a unified sales message, the combined OpenAI and Databricks teams successfully landed joint contracts this year with Hertz, the global car rental corporation, and KPMG, the multinational professional services and accounting network. Kofoid explicitly credited Dresser with playing a “big part in helping streamline the relationship” between the two technology providers.
This development highlights a critical maturation phase for foundational AI developers. While cutting-edge model capabilities initially drove inbound interest, sustaining revenue growth requires the unglamorous work of traditional enterprise sales: channel conflict resolution, account mapping, and synchronized partner marketing. By integrating its offerings smoothly with established data platforms like Databricks, OpenAI is acknowledging that corporate customers prefer to buy AI capabilities through their existing software supply chains rather than navigating new, uncoordinated vendor relationships.
OpenAI’s efforts to untangle its partnership with Databricks point to a necessary evolution in how the company approaches corporate monetization. As the developer continues to scale its commercial operations, its ability to replicate this streamlined sales motion across other enterprise channels will remain a central factor in its broader revenue strategy.
With reporting from The Information
Source · The Information
