AI adoption is no longer about experimentation. It’s about delivering measurable business outcomes at scale. Gartner projects that 40% of enterprise applications will incorporate task-specific AI agents by 2026, and organizations already using AI within CRM environments are seeing productivity gains of up to 34%.
Salesforce Agentforce is helping enterprises capture this shift, enabling autonomous AI agents that understand context, make decisions, and take action in real time, transforming Salesforce from a system of record into an intelligent system of action.
In this report, explore 10 industry-wide Salesforce Agentforce use cases and discover how enterprises are leveraging autonomous AI to improve customer experiences, streamline operations, accelerate decision-making, and unlock greater business value.
New to Agentforce? See our roundup of cross-functional Agentforce use cases for a broader look at sales, service, and marketing applications.
The hidden failure patterns that derail migration mid-execution
A 10-phase framework that defines how to move from planning to cutover with clarity
Practical approaches to manage data quality, mapping, and reconciliation at scale
Benchmarks to measure whether your migration is actually on track
A ready-to-use checklist (85 tasks) to operationalize every phase
This Salesforce Agentforce use cases guide is designed for:
CIOs and CTOs
Sales and Service Leaders
Salesforce Architects and Administrators
Chief Digital Officers
Insurance Technology Leaders
Operations and Process Transformation Teams
Enterprise Application Leaders
AI and Data Leaders
Customer Experience Executives
Innovation and Business Transformation Teams
Ready to Unlock the Next Generation of Salesforce-Powered AI?
Explore the industry-specific use cases, strategies, and Agentforce implementation insights helping enterprises transform Salesforce into a real-time system of action.