News from the AI & ML world
DeeperML
@Salesforce
//
The modern workplace is undergoing a significant transformation with the integration of AI agents into daily operations. Organizations are increasingly adopting autonomous AI systems capable of automating entire workflows across various industries. This shift marks the beginning of the "agentic AI era," where intelligent systems can perform complex tasks, make decisions, and interact with systems with minimal human oversight. This evolution requires organizational leaders to strategically plan for AI agent integration and implementation to maximize efficiency and productivity.
This new collaborative workforce sees humans and AI agents working together, fundamentally changing roles, workflows, and strategies. The contact center is a prime example, moving away from a "bot vs. human" approach to a "bot with human" model. In this landscape, human agents become orchestrators of complex customer journeys, while AI agents act as autonomous copilots, taking initiative on routine tasks and deferring to humans when emotional intelligence or nuanced understanding is required. This collaborative approach aims to improve speed, operational throughput, and decision quality.
Companies such as Cisco are building the infrastructure to support this AI-driven future, where potentially billions of AI agents will work together globally and continuously. This includes developing systems where AI agents can independently handle tasks such as identity verification, multi-step backend actions, and even proactive customer engagement. However, successful integration requires careful consideration of data integration, system compatibility, governance, compliance, and change management to ensure AI agents operate within predefined boundaries and judgment frameworks.
ImgSrc: www.salesforce.
References :
This new collaborative workforce sees humans and AI agents working together, fundamentally changing roles, workflows, and strategies. The contact center is a prime example, moving away from a "bot vs. human" approach to a "bot with human" model. In this landscape, human agents become orchestrators of complex customer journeys, while AI agents act as autonomous copilots, taking initiative on routine tasks and deferring to humans when emotional intelligence or nuanced understanding is required. This collaborative approach aims to improve speed, operational throughput, and decision quality.
Companies such as Cisco are building the infrastructure to support this AI-driven future, where potentially billions of AI agents will work together globally and continuously. This includes developing systems where AI agents can independently handle tasks such as identity verification, multi-step backend actions, and even proactive customer engagement. However, successful integration requires careful consideration of data integration, system compatibility, governance, compliance, and change management to ensure AI agents operate within predefined boundaries and judgment frameworks.
ImgSrc: www.salesforce.
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References :
- Salesforce: The New Collaborative Workforce: Humans and Digital Agents
Classification:
- HashTags: #CollaborativeAI #DigitalWorkforce #AIagents
- Company: Salesforce
- Target: Employees
- Product: Agentforce
- Feature: AI Agents
- Type: AI
- Severity: Informative