Agentic CRM Development
Developing and deploying AI agents designed to work within CRM systems and other business tools.
Salesforce provides an Agentic CRM platform, which integrates AI agents with its suite of business applications. This platform aims to enhance productivity by enabling AI agents to collaborate with human teams within existing tools, supported by connected data, models, and workflows.
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“Salesforce's approach integrates AI agents into a unified platform, providing coherence to a vast ecosystem of apps and integrations for enterprises.”
Salesforce offers an "Agentic CRM" platform designed to integrate pre-built AI agents into various business functions. These agents are intended to understand a business's operations and work alongside human teams within existing tools, thereby aiming to increase productivity. The platform connects customer data, business logic, and workflows to ensure agents' actions align with established business processes.
The system is built on a foundation of interconnected products like Slack, Agentforce, Customer 360, Data 360, Sales, Service, Marketing, Commerce, Small Business, Tableau, and Headless 360. This integration allows AI agents to serve customers, generate pipeline, and manage routine tasks, freeing human employees to focus on strategic activities, relationships, and growth. Salesforce also provides an AgentExchange marketplace for discovering and integrating apps and agents, and Headless 360 for building and deploying AI experiences across various platforms with built-in trust and security.
Developing and deploying AI agents designed to work within CRM systems and other business tools.
Connecting diverse data systems and unifying customer context to provide comprehensive insights for both human and AI agents.
Grounding AI agents with business logic, workflows, and processes to ensure trusted and efficient actions.
Providing tools (Headless 360, AgentExchange) for integrating with existing infrastructure, third-party apps, and various AI models.
Facilitating seamless collaboration between human teams and AI agents within shared environments like Slack.
Building in identity, permissions, compliance, observability, and secure real-time data access for all AI experiences.