Building an AI Agent with Adam Evans on Agentforce | #Futureofselling #aiagents #ai TLDR: Agentforce is an AI agent platform on Salesforce that enhances customer service and operational efficiency by automating workflows, improving decision-making, and enabling proactive communication across various industries. 1. 00:00 🤖 Adam Evans presents Agentforce, an AI agent platform on Salesforce that improves customer service and operational efficiency across industries like accounting and healthcare. 1.1 Adam Evans, a former employee turned entrepreneur, returns to showcase his innovative work with Airkit after the company was reacquired. 1.2 Agentforce, built on the Salesforce platform, enables rapid deployment of AI agents for various industries, streamlining operations and enhancing customer service. 2. 03:18 🤖 Proactive AI agents are crucial for boosting productivity and communication by predicting actions and integrating seamlessly with tools like Slack. 2.1 Co-pilots, while an improvement over traditional chatbots, remain reactive and hinder productivity by requiring users to initiate interactions. 2.2 Proactive AI agents that can address issues before they arise are essential for improving productivity and case handling time, surpassing the capabilities of reactive co-pilots. 3. 07:21 🤖 Agents leverage structured and unstructured data through advanced reasoning techniques to improve decision-making and response accuracy. 3.1 Structured data is organized in rows and columns, while unstructured data, like images and videos, requires extracting metadata for analysis, presenting greater challenges and opportunities. 3.2 The reasoning engine utilizes knowledge graphs and recursive networks to analyze multimodal data, enabling agents to make informed decisions based on comprehensive information. 4. 09:52 🤖 Agentforce 2.0 automates workflows, enhances agent skills for improved efficiency, and enables AI agents to resolve over 90% of tier one tickets, streamlining sales and customer support. 4.1 Agentforce 2.0 extends beyond CRM to automate various workflows across teams, significantly saving time and money. 4.2 Skills enhance agent capabilities by integrating actions and instructions, improving efficiency and customer satisfaction in service interactions. 5. 14:05 🤖 Proactive AI agents improve customer experience through personalized marketing, tailored recommendations, and enhanced data integration for complex tasks. 5.1 Proactive AI agents enhance customer experience by providing continuity in interactions, enabling personalized marketing campaigns, and assisting in e-commerce through tailored product recommendations and post-sale support. 5.2 An AI agent analyzes your face and skin to recommend suitable makeup products, as demonstrated on the L'Oreal website. 6. 17:07 🚀 Future business platforms will unify systems for seamless data integration and performance testing of AI agents before deployment. 6.1 Future business platforms will integrate all systems into a single, powerful solution that connects data and actions seamlessly, utilizing natural language for API integration. 6.2 A new testing center for agents ensures consistency and allows for auditing and confidence in their performance before launching new versions. 7. 19:43 🚀 Agent Force 2.0 revolutionizes workflows by integrating systems for enhanced team actions, exemplified by Deco's use in processing 300 million applications and a new agent for lead development in sales. 7.1 Agent Force 2.0 centralizes an agentic workflow layer that integrates various systems, enhancing actions across teams and processes beyond traditional CRM functionalities. 7.2 Deco, a major recruiting organization, processes 300 million applications annually using Agentforce 2.0 to enhance connections between job seekers and employers amidst overwhelming inbound demand. 8. 22:58 🤖 AI agents can be built using natural language to automate recruiting tasks, enhance communication, and streamline processes without coding expertise. 8.1 An AI agent can be created from scratch using natural language to facilitate communication between recruiters and candidates. 8.2 An AI agent can analyze enterprise data and automate tasks like scheduling interviews without coding, by using natural language instructions to identify gaps and recommend solutions tailored to specific use cases like recruiting.