Going beyond RIG & RAG: Agentic AI - What's the Difference? 👉 Let’s explore how different AI architectures handle a customer support query for a SaaS product, which is particularly relevant for enterprise environments. ⏩ RAG (Retrieve, Rerank, Respond): Imagine a customer asking, "How do I integrate your software with my existing CRM system?" RAG would search its database to find a pre-written response based on similar past queries, like a general guide on software integration. While this works for straightforward questions, it doesn't cater to specific CRM systems or particular customer setups, which might have been updated since the guide was written. ⏩ RIG (Retrieve and Integrate during Generation): Now consider the customer specifies, "I’m using the latest version of Salesforce; how does the integration work?" RIG would actively search for the most recent integration guidelines specific to the latest Salesforce update during the conversation. This approach ensures the customer receives a more current response. However, RIG might still not fully address unique configurations or recent issues reported by other users. ⏩ Agentic AI: Let’s up the complexity: "Our team just upgraded to the newest Salesforce, but we’re experiencing sync issues with your software. What should we do?" Agentic AI employs several specialized agents to tackle this multifaceted problem. One agent retrieves information on known issues with the newest Salesforce version, another reviews the latest patches or updates from both the CRM and your software, and yet another analyzes recent customer service tickets for similar complaints. Together, they synthesize this information to provide a customized, informed solution, potentially even initiating a proactive patch or suggesting detailed troubleshooting steps. Agentic AI not only addresses the immediate query but also adapts and learns from each interaction, providing a foundation for continually improving customer service capabilities. This sophistication in handling complex queries efficiently makes Agentic AI an invaluable tool in enterprise environments, driving better outcomes and enhancing user satisfaction. Curious to learn more about cutting-edge AI solutions like Agentic AI? Follow Oraczen to stay updated on the latest innovations and discover how we’re redefining enterprise technology. oraczen.ai #SystemArchitecture #AIEngineering #TechnicalDesign #Oraczen
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Revolutionizing Life Sciences with Salesforce Agentforce 🚀 Salesforce’s Agentforce is transforming CRM in life sciences with autonomous AI agents that streamline complex tasks, boost efficiency, and enhance customer experiences. To succeed, organizations must: Align Agentforce with business goals and AI strategies Ensure data quality and integration readiness Test pilots and address regulatory compliance Explore how this innovation marks the "Third Wave of AI" and unlocks new possibilities for life sciences. #AI #Salesforce #LifeSciences #CRMTransformation Mahmood Majeed Maria Whitman Noaman Khan Pavan Reddivari Bharat Tandon Suhail Merchant Lokesh Jain Archeet Srivastava Varsha Samtani Pravin Kesari Somsekhar Pal Kapil Pant Sanjiv Joseph Chinnappan
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Businesses are making a costly mistake with AI. They get excited about AI-driven contact centers and rush to buy. And they forget that not all AI voice agents are created equal. One of the biggest differentiators? INTEGRATION CAPABILITIES. If your AI voice agent can't integrate with your existing systems, you're in for a world of hurt. Your business runs on a complex ecosystem of software – CRM, scheduling tools, databases, you name it. If your AI voice agent is operating in its own little bubble, you're creating a digital island. And islands are great for vacations, not for business efficiency. So, what should you look for? An AI voice agent that offers seamless integration with your existing CRM and other business systems. • A smooth transition (no disruption to your current workflows) • Efficient data flow (no more manual data entry or info silos) • Consistent customer experience (your AI agent has access to all relevant info) So, ask the tough questions about integration before signing that dotted line. Because the goal isn't just to have an AI voice agent. It's to have one that enhances your operations, not complicates them.
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Generative AI can simplify how you perform your daily workflows. For a generative AI to be effective you need well-formulated prompts to create relevant, trusted content and you can scale the effort that goes into creating individual prompts by creating prompt templates. With Salesforce Prompt Builder, you create, test, revise, customize, and manage prompt templates that can make use of your CRM data. And in turn, these templates make your user’s daily workflows easier and your business smarter. Salesforce Prompt Builder embeds generative AI experiences into the workflows of your users, enabling a variety of assistive use cases across both desktop and mobile. Would it save time for your sales team if they could auto-generate lead emails? Would sales also appreciate being able to quickly assess what open and escalated cases their customers are dealing with before they get on a call with a key executive? For these examples and more, Prompt Builder is here to help. Want to see how Salesforce Prompt Builder can level up your business? Contact EffiQ or a team member today! EffiQ Technology Solutions Inc. Rogner Vieira, BBA, MBA, APMG-CMP Praveenraj Balakrishnan Kapil Goyal
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Wiley boosted self-service and efficiency by 40% with Agentforce. Learn how the publisher implemented #Agentforce to cut costs and significantly increased productivity. #AI #Agents #AgenticAI #Salesforce #Wiley #Technology #Automation
Wiley sees 213% return on investment with Salesforce.
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🚀 AI-first software services will replace the current industry leaders. Here’s an explanation… Many current SaaS applications are built on relational databases, where entities and their relationships are statically defined. These systems focus on providing intuitive interfaces for data input and tools for graphical or report-based data analysis. The static nature of relational databases and the predefined relationships make it difficult to integrate AI, which thrives on more dynamic and flexible data structures. As a result, AI retrofitting often ends up being an additional layer on top of these rigid foundations, leading to suboptimal performance and limited functionality. Another limitation of traditional SaaS products is the interface. Even with visually pleasing designs, most interfaces are just screens for handling CRUD (Create, Read, Update, Delete) operations. This means users have to figure out the next action and input the necessary data themselves. As a result, the real transformation will happen when systems are designed from the ground up to be AI-first. These AI-first systems will focus less on maintenance of static data structures and more on automation and delivering high-value insights. Take for e.g. a classic CRM system - They are designed to identify customers, deals, and leads, and to manage the relationships between these elements. The bulk of development efforts in these systems focuses on providing intuitive interfaces for data input and tools for graphical or report-based data analysis. However a CRM system designed to be AI-first, the focus would shift from merely capturing data to automating tasks and providing actionable insights that directly benefit salespeople. Rather than manually entering and linking data, sales professionals could rely on AI to automatically log interactions, predict customer needs, and take the next best actions. This AI-driven approach significantly enhances productivity and ultimately drives better business outcomes. ...but before we reach that point, a lot of effort must go into reimagining what an AI-based interaction looks like. It won't resemble the chat interfaces we're used to, nor the traditional mouse-and-input-box setups. It will be fundamentally different. As an industry, we need to figure this out to truly redefine what this new generation of software will be. What do you think? #ai #software #technology
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NEW BLOG DROP Dealing with CRM data inaccuracies? AI can fix it!👇 AUTOMATING SALESFORCE WITH AI AGENTS Check out our latest blog, "Salesforce Integration with Odin’s AI Agent: A Powerful Duo." Discover how Odin AI is revolutionizing CRM with cutting-edge technologies like Salesforce Integration, Custom AI Agents, and AI-powered customer interactions. Blog Highlights 🔎 🤝 Integration of Salesforce CRM with Odin AI 📊 Key Features and Benefits of AI Integration 🚀 Enhanced Data Utilization and Customer Engagement 🔧 Steps to Create Custom AI Agents with Salesforce Learn how Odin AI boosts your CRM capabilities, including seamless Salesforce Integration and personalized customer experiences. This integration is a game-changer for businesses seeking efficient and innovative AI solutions. Join us to discover how Odin AI is transforming workflows and driving the future of AI technology. Read more 👉 https://lnkd.in/dJXrWXDa Share your thoughts in the comments 💬 Give us a 👍 and spread the word 🔁 #AI #SalesforceIntegration #OdinAI #Automation #Productivity #Efficiency #MachineLearning
Salesforce Integration with Odin’s AI Agent: A Powerful Duo
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Will enterprises pay $2 per AI agent conversation? AgentForce by Salesforce just launched. Here’s why it’s a game-changer: ☑ Powered by the Atlas Reasoning Engine, it simulates human thought ☑ Wiley's implementation saw a 40% increase in case resolution ☑ Low-code platform for easy customization ☑ Deploy over a hundred use cases in weeks with Agent Builder, Prompt Builder, and Model Builder ☑ Automates interactions, reduces costs, and scales with business growth ☑ Supports human agents by generating replies, taking notes, and providing real-time help ☑ Performs sentiment analysis to understand customer emotions Generative AI is enhancing customer service. Salesforce's CRM solutions deliver strong results: ☑ 95% of surveyed customers would continue using Salesforce ☑ Executives reported a 44% increase in forecast accuracy ☑ 70% ROI within 18 months ☑ Wiley achieved a 213% ROI with Einstein for Service ☑ Iron Mountain boosted productivity ☑ bp saved thousands of hours with Einstein chat summaries Agentforce is priced starting at $2 per conversation. Will customers pay this cost for the convenience of easy 1-step AI integration into a tool they already use? Do you compare that $2 to the cost of running your own chatbot OR to the salary of the customer service rep it is replacing? Source - Yahoo Finance on X = If you like this post: 🛎 Follow me https://lnkd.in/gwHZe7Uj ♻️ Repost it to inspire your network 📩 Learn how to use AI to slash your company’s overheard with the quiz in my profile.
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Can AI really replace human customer support? Big question, right? On one hand, AI is great—fast, efficient, never forgets a detail. On the other hand… can it truly understand people? Their emotions? Their frustrations? What do you think? Is it all about tech, or do humans still have the edge? At Terrabbit, we see it like this: AI is a tool. A great one. But human connection is equally important. Salesforce helps us blend the two—automation for speed, humans for heart. But hey, that’s just us. What’s your take? #CustomerExperience #CRM #LetsDiscuss
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“Automation doesn’t replace people—it empowers them to do more.” 🌟 AI & Automation: A Game Changer for Productivity, Sales, and Customer Experience 🌟 AI and automation are not just buzzwords—they’re driving real results. In fact, 72% of business leaders say AI improves productivity, while 63% report enhanced customer service outcomes (Source: PwC). 📊 For sales, AI-powered CRM systems boost lead conversion rates by 50%, and sales teams using automation see a 14.5% increase in sales productivity (Source: Salesforce). 📈 I saved over 10,000 hours last year by automating processes and the journey continues from doing to reviewing for the team members⏳ On the customer experience front, AI chatbots can reduce response times by up to 80%, while automating common queries, allowing support teams to focus on complex issues. 🤖 Companies embracing automation are seeing significant growth, with 73% of early adopters in AI and automation outperforming competitors in revenue growth. 🚀 As AI continues to evolve, those who leverage it will lead the way in innovation and customer satisfaction. “Automation doesn’t replace people—it empowers them to do more.” Do you agree with this statement?💡 #AI #Automation #SalesGrowth #CustomerExperience #Innovation #DigitalTransformation
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The transformative potential of AI is undeniable. It can streamline operations, provide actionable insights, and tailor customer experiences like never before. Off-the-shelf AI solutions is a game-changer for small and medium-sized businesses (SMBs), enabling them to compete with larger enterprises in unprecedented ways. Examples of AI empowering SMBs: 1️⃣ AI-powered CRM tools like Salesforce Einstein allow SMBs to personalize customer interactions at scale, predict customer needs, and optimize marketing strategies. 2️⃣ Automated AI chatbots, such as those offered by Drift or Intercom, enable SMBs to deliver 24/7 customer service that rivals larger counterparts. 3️⃣ Tools like Copy.ai help organizations scale their operations, marketing, and sales efforts efficiently, producing high-quality, compelling content that drives sales and strengthens brand identity. These technologies not only improve efficiency and customer satisfaction but also level the playing field by providing SMBs access to sophisticated tools that were once exclusive to corporations with deep pockets. At GCM, we're dedicated to making AI accessible to every business, regardless of size. Our mission is to break down barriers and make AI an integral and accessible tool for business success. #AI #AIforBusiness #SMB #BusinessInnovation #ArtificialIntelligence #AI101
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