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High-impact AI/ML use cases categorized by business value and implementation readiness
A prioritization matrix to identify which AI use cases to deploy first based on feasibility and ROI
Assessment framework across revenue, operational efficiency, buyer experience, and technical readiness
Guidance to avoid over-indexing on generative AI and leverage other proven AI models
Enterprise sales teams are under pressure to deliver more, faster, and AI is often positioned as the fix. But not all AI is created equal.
According to Gartner®, "Many business problems require a combination of different AI techniques and use cases, which are likely to be ignored if organizations maintain a short-sighted focus only on generative AI for sales."
"This research identifies 19 of the most prominent nongenerative AI use cases that can improve B2B sales. Throughout many industries and organizations, chief sales officers can use this as a starting point for making more judicious investments in AI use cases for strategic planning purposes."
Each use case is evaluated across value and feasibility, helping you align AI investments with your organization's readiness, maturity, and strategic priorities.
19 high-impact AI/ML use cases categorized by business value and implementation readiness
A visual framework to prioritize which AI use cases to deploy first based on feasibility and ROI
Assessment across revenue, operational efficiency, buyer experience, and internal/technical readiness
Guidance to avoid over-indexing on generative AI alone, and leverage other proven models
Organizations implementing AI/ML capabilities have reported improvements in core business metrics
AI strategy is no longer a nice-to-have; we believe it's a competitive imperative. But many sales leaders are chasing the latest GenAI trends without first leveraging the foundational AI capabilities that are easier to implement and proven to drive value.
In our opinion this Gartner® research provides a clear framework for prioritizing use cases, maximizing ROI, and avoiding common missteps.
The result of a better AI roadmap? This analysis concludes that "Organizations implementing AI/ML capabilities have reported improvements in core business metrics, including revenue growth, operational efficiency and risk mitigation."
Building an AI roadmap and prioritizing investments
Planning AI deployments and operational integration
Exploring AI applications to scale knowledge and training
Guiding cross-functional technology investments
Know what to deploy. Know where to start. Avoid the hype. Start building a realistic, value-driven AI roadmap for B2B sales.
Get the Gartner® ReportSource: 19 Artificial Intelligence Use Cases for B2B Sales, Adnan Zijadic, Melissa Hilbert, Guy Wood, Ilona Hansen, Sandhya Mahadevan, Mark Lewis, 28 March 2025. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
