From Vision to Agentic Enterprise
How Salesforce translates its platform vision into AI agents, customer workflows, data intelligence,
and measurable outcomes.
Agentforce in the Workflow
Customer
Need
CRM Context
Data
Agent
Reasoning
Action
Outcome
Representative use cases: Service resolution, Lead qualification, Sales assistance, Case routing.
Humans + Agents
Human Roles
Judgment, Relationships, Creativity,
Strategy, Leadership.
AI Agents
Routine workflows, Retrieval, Task execution,
Automation.
Business + Community
The 1-1-1 Model
1% Equity
1% Product
1% Time
Structurally connecting business growth with
giving and community support through equality and
philanthropy.
The Salesforce Strategic Logic
POSITIONING: World’s #1 Agentic CRM
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PLATFORM: People + AI agents + apps + data
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INTELLIGENCE: Data + AI + Agentforce
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EXECUTION: Sales, Service, Marketing, Commerce, Analytics, Slack, MuleSoft
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DESTINATION: The Agentic Enterprise
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OUTCOME: More intelligent, connected and trusted customer relationships
Leadership
Marc Benioff
, Chair & CEO. Centrally involved in the
evolution of CRM strategy toward AI and agentic software.
Understanding Salesforce's Strategic Language:
• Current: Agentic CRM / Agentic Enterprise
• Frameworks: V2MOM (Alignment), 1-1-1 (Impact)
• Historical: Connecting companies and customers.
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Sources: Salesforce About; Agentforce; Customer 360; Data Cloud; V2MOM; 1-1-1 Philanthropy.
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