Marcus Neureiter’s Post

How gen AI–enabled agents could work Agents can support high-complexity use cases across industries and business functions, particularly for workflows involving time-consuming tasks or requiring various specialized types of qualitative and quantitative analysis. Agents do this by recursively breaking down complex workflows and performing subtasks across specialized instructions and data sources to reach the desired goal. The process generally follows these four steps: User provides instruction: A user interacts with the AI system by giving a natural-language prompt, much like one would instruct a trusted employee. The system identifies the intended use case, asking the user for additional clarification when required. Agent system plans, allocates, and executes work: The agent system processes the prompt into a workflow, breaking it down into tasks and subtasks, which a manager subagent assigns to other specialized subagents. These subagents, equipped with necessary domain knowledge and tools, draw on prior “experiences” and codified domain expertise, coordinating with each other and using organizational data and systems to execute these assignments. Agent system iteratively improves output: Throughout the process, the agent may request additional user input to ensure accuracy and relevance. The process may conclude with the agent providing final output to the user, iterating on any feedback shared by the user. Agent executes action: The agent executes any necessary actions in the world to fully complete the user-requested task https://lnkd.in/eNr7GH7K

This is truly one of the most exciting times to see businesses evolve and adopt AI strategies to enable their teams and enhance customer experience. Glean's AI platform is uniquely positioned to enable companies, across the globe, to access and take action on data like never before, across every department and position. Search + Agentic Reasoning can and will change the landscape of every business. The early adopters will have a strategic advantage, in the same way that Glean has now.

How do you start to explore building an AI agentive solution for your business? 👌 Here is snippet on 3 key factors to consider with a project or process in mind. 🎥Full video: https://lnkd.in/ee8-tzwz 🚀 Excited to share how to go about an AI discovery process ! Here’s a streamlined breakdown: 𝐓𝐰𝐨 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐂𝐚𝐥𝐥 𝐏𝐡𝐚𝐬𝐞𝐬: ➡️Exploration Phase: Shorter calls to spark ideas on AI implementation, covering repetitive administrative, customer-facing, document generation processes, and more ➡️Project-Specific Phase: In-depth calls for clients with a process or project in mind, focusing on understanding actions, cognitive reasoning, and system integrations. 𝐊𝐞𝐲 𝐂𝐚𝐥𝐥 𝐄𝐥𝐞𝐦𝐞𝐧𝐭𝐬: ➡️Process Understanding: Detail each action, integration, and personalization step. ➡️Data Warehousing & Generative Actions: Identify points where AI generates documents or personalized scripts. ➡️Logical Processing: Determine decision-making logic at each step. 𝐏𝐨𝐬𝐭-𝐂𝐚𝐥𝐥 𝐀𝐜𝐭𝐢𝐨𝐧𝐬: ➡️Document everything in a requirements framework. ➡️Confirm details with the client. ➡️Analyze sample output/conversations for practical insights on the client's desired outcomes. ➡️Scope a robust and financially flexible AI solution proposal. Ensuring effective scoping and risk management! 💡 Reach out to us if you're looking to learn more about how AI can help your process! Oleksandr (Alex) Krasun Accelerate AI #AI #Outboundqualification #Automation #DiscoveryCall #AIagents

AI: Task Automation  You may have heard about how AI can help automate tasks but what does that mean in your business on a day to day basis? And how do you cut through the sales blurb and get enough information to know what can and can’t be done? Well that’s where pm² comes in. We’ll identify where your business can benefit from the tactical use of AI and where it’s not required (see if any of the big US companies do that for you). We’ve implemented process automation in areas from invoice matching to contract generation, working closely with client business partners to ensure clear KPIs for delivery success. See our latest blog and don’t forget to subscribe when you are on the website. https://lnkd.in/eGH6AvDv

🔍 Exploring AI for your business? Check out this guide on how to start building an AI solution with a structured approach. From discovery calls to project-specific phases, learn how to uncover opportunities for AI integration and effectively scope your solution. 🚀 🎥 Watch the full video here: https://lnkd.in/eHqvzjNx #AI #BusinessSolutions #Innovation #TechTransformation

At Ship Your AI, we believe every business—whether small or large—can harness the transformative power of AI. If your company has internal data and a defined process, you're already halfway to optimizing your operations using AI. We specialize in building custom AI solutions that help you extract actionable insights from your data, empowering you to make faster, more informed decisions. Here are a few examples to give you an idea how this can work for your business: • Drafting contracts: Imagine your company needs to create a new contract. Instead of starting from scratch, our AI agent can analyze your existing contracts and generate a new draft that follows similar structures and terms. This saves your legal team time and ensures consistency across all documents. • Customer support: If you run a customer support center, your team might rely on detailed documentation to assist customers with troubleshooting issues. An AI agent can act like a virtual support agent, using your company’s internal knowledge base to guide customers through resolving problems—without needing human intervention for every inquiry. It’s like having a 24/7 assistant that always has the right answers. • Sales analysis: After a quarter ends, analyzing sales performance can be overwhelming with all the data involved. Our AI can scan through sales reports, presentations, and other relevant documents, spot trends (like which products sold best), and even forecast what to expect in the next quarter. This enables faster decision-making based on solid data. • Legal case research: For law firms, finding past cases similar to a current one can be a tedious process. With an AI agent, you can instantly search your firm’s archive for relevant cases, getting summaries of key information. The AI can even suggest how these previous cases could apply to your current legal situation, making research more efficient. The power behind this lies in a technique called Retrieval-Augmented Generation (RAG), which enhances the accuracy of generative AI by sourcing real-time, relevant information from external or internal data. By integrating this with your company's unique data, we can help you achieve faster, more reliable results—saving time and optimizing processes. If you’re looking to take your business processes to the next level with AI, we’re here to help.

Can you survive without AI? Is AI worth all the hype? In today's digital arms race, can you afford to ignore AI? While businesses can survive without it, AI integration offers a powerful edge. From automating data management to revolutionizing customer service, AI's impact is undeniable. Consider this: Customer Service, Tech and Finance sectors lead the AI charge Larger companies in competitive markets? AI might be your secret weapon Small, niche businesses? You might still thrive without extensive AI... for now But beware: AI isn't a magic bullet. It demands significant investment - not just money, but time and expertise. Again, CSS encourages the enlistment of industry experts to be able to vet and explain differences in platforms. I personally know that John Everman @ Gurudna.com and Jeremy Mapes @ Mapesconsulting.com do a great job. Feel free to comment with any others in the industry that can help! The key? Striking a balance between human insight and AI capabilities. As AI becomes increasingly integral to business operations, early adopters gain a critical advantage. Can you risk falling behind? Remember: In the customer service and financial industries, AI isn't just an option - it's becoming the standard. Why is AI becoming the standard? It's a game-changer in: Data management: Cleansing, integration, categorization, governance, and storage optimization Employee performance: Analysis and coaching for improved retention and productivity Customer interactions: Seamless assistance without human intervention The AI advantage is clear. At CSS, Inc. we are leading the charge, offering AI assistants to supercharge management and agent productivity. Challenge yourself: Compare how others use AI, then examine CSS's innovative approach in collections. The contrast might surprise you. The question isn't just "Can you survive without AI?" but "Can you thrive?" For a quick peak at CSS AI in action check out the videos below. Then call me to schedule a more thorough tour of the most complete Collections Financial Ecosystem available. We can help you reduce costs and maximize revenues with 5-star support. https://lnkd.in/e5tTHvAs https://lnkd.in/e9uGJ_Rq RyderT@cssimpact.com Phone 747-293-7559

When Should You Implement RAG vs. Function Calling You don't want a chatbot that just regurgitates pre-learned answers. It should dynamically source the latest data from internal databases or live feeds. Simple truth: LLMs are powerful, but far from perfect. They excel in generating human-like text... but falter when faced with the need for up-to-date, specific information. What allows LLMs to access external data in real-time? —𝗥𝗔𝗚 systematically segments and indexes large datasets, allowing the model to fetch relevant information as needed. Think of an AI that instantly sources relevant data to address complex inquiries. —𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗖𝗮𝗹𝗹𝗶𝗻𝗴 empowers LLMs to execute specific functions during their operation, such as database queries or API calls. It allows AI to interact dynamically with various systems, making it a proactive tool in business processes. RAG provides depth of knowledge. Function calling delivers timely precision. Imagine a customer service AI that can pull up detailed product specs using RAG and then check current inventory with function calling. The result is faster, more accurate customer service that feels both informed and immediate. At Nimble , we’re all about making these kinds of powerful, data-driven interactions effortless. To empower businesses by providing them with seamless access to the right external datasets. So that every decision, every customer interaction, and every strategic move is backed by the most accurate and timely information available. Let's keep pushing the boundaries of what AI can do!

You know that Bidirectional Streams are useful for 𝘝𝘰𝘪𝘤𝘦 𝘈𝘐, but what about → 𝘝𝘰𝘪𝘤𝘦 𝘐𝘋, 𝘈𝘨𝘦𝘯𝘵 𝘈𝘴𝘴𝘪𝘴𝘵, and 𝘊𝘢𝘭𝘭 𝘚𝘶𝘮𝘮𝘢𝘳𝘪𝘻𝘢𝘵𝘪𝘰𝘯? That's right, friends; Bidirectional Streams might be used for more than Voice AI. Here are three use cases that are possible by Streams: 𝑽𝒐𝒊𝒄𝒆 𝑰𝑫 (𝑽𝒐𝒊𝒄𝒆 𝑰𝒅𝒆𝒏𝒕𝒊𝒇𝒊𝒄𝒂𝒕𝒊𝒐𝒏) Voice ID uses Streams to enable secure, real-time voice identification during calls. The process works as follows: Step #1: A user initiates a call, and the system captures their voice print via the Stream. Step #2: The system analyzes the voice print, compares it against stored profiles, and returns an identification result to authenticate the user. A great addition to your MFA arsenal? 𝑨𝒈𝒆𝒏𝒕 𝑨𝒔𝒔𝒊𝒔𝒕 Agent Assist uses Streams to deliver better service using real-time AI-powered support. Here's how it works: Step #1: A Stream is sent to an LLM-powered system during a call. Step #2: The LLM analyzes the conversation, providing the agent with real-time suggestions, knowledge-based articles, and response recommendations. Agents will need less training time, and customers will spend less time on the phone. Everybody wins! 𝑪𝒂𝒍𝒍 𝑺𝒖𝒎𝒎𝒂𝒓𝒊𝒛𝒂𝒕𝒊𝒐𝒏 Call Summarization utilizes Streams to generate summaries of phone calls for record-keeping and analysis. The workflow is simple: Step #1: During or after a call, a Stream is sent to a summarization service. Step #2: The service transcribes and analyzes the call, summarizing key points and action items. This helps in record-keeping, training, and improving customer support. ▶ We are inviting founders to join the private beta. DM us for details!

Uncovering Hidden Gems with Yuno AI After engaging with hundreds of analysts, we've identified two major challenges in M&A and PE: 1. Access to Reliable Data 2. Optimizing Research Time Traditionally, PE and M&A partners rely on vast networks. But with over 360,000 companies in Italy alone generating revenues above €1 million, it's nearly impossible not to miss potential targets. Our technology is designed to uncover these hidden gems—small to medium-sized companies outside traditional networks but with solid financial performance and growth trajectories. 🔍 How It Works We've leveraged Large Language Models (LLMs) to create detailed descriptions for over 2 million companies. By combining these rich profiles with AI agents that act like virtual analysts, we can: 1. Conduct Deep Dives: Our AI agents research specific criteria (e.g., "Is the company a Microsoft Partner?") by analyzing websites and online data. 2. Go Beyond Standard Classifications: Move past broad industry codes to find companies that perfectly match your strategic needs. 3. Accelerate Research: Identify acquisition targets in minutes, speeding up the process by 20x and potentially saving hundreds of thousands of euros per year. 📈 Real Results In just one month, we've helped customers uncover 50+ potential targets previously unknown to them. Their clients selected 10 favorites to proceed with deals. 💡 Examples of What We Can Find: Cybersecurity companies focused on aerospace applications IT consulting firms specializing in ERP, CRM, and Cloud services that are also AWS Partners Through partnerships with financial and cap table data providers, we're integrating both qualitative and quantitative data into our platform. Ready to Transform Your Acquisition Research? 👉 Contact us or book a call to learn how Yuno AI can revolutionize your M&A and PE activities.