Articles for tag: AI adoption, AI podcast, business innovation, Change Management, community engagement, M365 Copilot, user training

Market News

Change Management Insights: Armanino’s Gina Montgomery on Selecting Users Judiciously in AI Agent & Copilot Podcast

Welcome to the AI Agent & Copilot Podcast, where we explore the latest developments in AI Copilots and agents from Microsoft and its partners. In this episode, Gina Montgomery from Armanino shares insights about her upcoming presentation at the AI Agent & Copilot Summit. She focuses on M365 Copilot adoption, emphasizing the importance of effective ...

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Transform Your Salesforce Experience with Cirra AI’s Scalable AI-Driven Configuration Solutions

Salesforce administrators and RevOps teams often face pressure to make quick changes while ensuring accuracy and compliance. Cirra AI Change Agent provides an innovative, agent-driven solution that simplifies Salesforce configuration. Unlike traditional tools, it autonomously interprets business needs, plans, and implements changes in minutes. This advanced AI-driven tool reduces manual work, ensuring that each change ...

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Transform Your Salesforce with Cirra AI: Scalable, AI-Driven Configuration for Enhanced Performance and Efficiency

Salesforce administrators and RevOps teams face pressure to quickly implement changes while ensuring accuracy and compliance. Cirra AI Change Agent offers an innovative, agent-driven approach to Salesforce configuration, going beyond traditional AI tools. It autonomously plans, executes, and documents complex changes based on simple business requirements, saving time and minimizing manual tasks. The system generates ...

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The Challenges of Agentic Architectures: Why Most Will Fail in Modern AI Development

Agentic artificial intelligence is poised to transform industries by autonomously executing complex tasks. However, the current hype exceeds practical implementations, with organizations facing challenges in defining clear goals, developing robust technical solutions, and managing change effectively. Many are experimenting with AI agents, but experts suggest that success will come as ecosystems evolve by 2025. Companies ...

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