Top Enterprise AI Search Solutions in 2025

Traditional search tools fall short as enterprise data grows across clouds, apps, and repositories. Employees waste hours finding information, decisions stall, and knowledge fragments. Enterprise AI search solutions solve this by blending semantic understanding, real-time indexing, and generative AI to deliver fast, secure, and contextual answers. This guide evaluates 10 leading solutions in 2025, offering IT leaders, CIOs, and knowledge managers a roadmap to choose the right platform while future-proofing their search strategy. If you’re not quite sure why Enterprise AI Search is necessary, this article breaks it down clearly 👉 Why Business Seek Enterprise Ai Search  Why Enterprise AI Search Solutions Matters in 2025 According to Gartner’s Survey, 65% of organizational decisions today are more complex than they were just two years ago, requiring more stakeholders, more variables, and faster responses. Gartner emphasizes that in this increasingly dynamic environment, businesses must enhance their ability to make optimal decisions quickly, consistently, and with minimal risk. To meet these demands, organizations are turning to AI and data analytics to accelerate insight and action. Enterprise AI search platforms support this shift by connecting fragmented information across tools, enabling hybrid teams to work more efficiently, and improving operational resilience. When evaluating these platforms, key capabilities to look for include: Semantic understanding and contextual relevance Generative AI for summaries and direct answers Real-time indexing with permission-aware access controls Seamless integration with enterprise systems Deployment flexibility (cloud, on-premises, or hybrid) Enterprise-grade security, compliance, and logging Total cost of ownership and measurable ROI Top 10 Enterprise AI Search Solutions 1. Glean Category Details Effective for Organizations with 1,000+ users seeking fast deployment and unified enterprise search Integrated Tools Over 100 workplace tools, including Slack, Salesforce, Google Workspace, Microsoft 365, Jira, ServiceNow, Dropbox, GitHub, Notion, Confluence, and others via prebuilt connectors or APIs. Industry Focus General enterprise use across hybrid workforces and departments AI Highlights Real-time indexing with personalized results via a knowledge graph. Generative AI provides document summaries and email responses, while strict access controls support enterprise security. ✅ Key Features Glean connects over 100 business tools through prebuilt connectors and a simple admin interface, allowing integration via OAuth or API keys mostly no-code, though custom integrations may require light API configuration. Its knowledge graph ensures results are tailored by identity and behavior, and real-time indexing keeps content up to date. ✅ Strength known for fast deployment and strong personalization. SSO and SCIM support enable enterprise-grade identity management, and minimal IT overhead makes onboarding quick. ✅ Trade-offs Advanced query rewriting for highly specialized taxonomies is limited. Pricing may be a concern for teams with fewer than 500 users. 2. Coveo    Category Details Effective for Enterprise-scale teams managing customer portals, ecommerce platforms, and internal knowledge Integrated Tools Salesforce, Microsoft Dynamics 365, ServiceNow, Zendesk, Sitecore, SAP, Slack, Microsoft 365, Google Workspace, and others Industry Focus Retail, ecommerce, and customer service–driven enterprises AI Highlights AI-powered relevance tuning and behavioral recommendations. Supports omni channel use cases with no-code customization and real-time analytics. ✅ Key Features Coveo provides official connectors to leading CRM and support systems, and enables relevance tuning and result optimization through a no-code admin interface. It supports omnichannel indexing from web, mobile, CRM, and support centers. ✅ Strength Teams can personalize search results with fine-grained control using an intuitive interface. Real-time dashboards show user behavior patterns and help optimize relevance without any coding. ✅ Trade-offs Multi-system environments like Salesforce + Dynamics may take 4–6 weeks to configure. Licensing costs can escalate quickly with scale. 3. Refinder   Category Details Effective for Individual users, small teams, startups, SMEs, and organizations seeking fast onboarding and simple operations. Integrated Tools Google Drive, Gmail, Notion, Figma, Jira, Confluence, and more can be easily connected via a click-based interface. Most apps can be integrated without any coding. Industry Focus Professionals and organizations that need unified access to internal data across tools, including real estate, customer service, legal services, research, freelancing, and companies that handle document-heavy workflows. AI Highlights RAG-based AI search with flexible deployment options—hosted or on-prem. Designed with security, ease of onboarding, and operational simplicity in mind. ✅Key Features Refinder offers unified search powered by retrieval-augmented generation (RAG). It connects to work tools via click-based, no-code integrations, and provides secure permission management through an admin dashboard. Although designed for enterprise use, it is accessible to small teams and individuals, who can easily connect their own tools to explore the solution in real time. ✅Strength Teams can complete setup within just a few hours. With security built into every layer, the solution is well suited for teams that manage sensitive or regulated information. The intuitive user experience makes it easy to adopt across different industries. For startups, tailored benefits are available through a dedicated startup support programs including free access for a limited period, expert consultations, and other customized support. ✅Trade off Currently limited in scalability for large enterprises with thousands of users, as it is optimized for small to mid-sized teams, though Refinder is actively preparing for enterprise-grade scalability. 4. Guru Category Details Effective for Mid-sized teams (50–500 users) looking for lightweight knowledge sharing and contextual assistance Integrated Tools Slack, Microsoft Teams, Salesforce, Zendesk, Google Drive, Confluence, Jira, ServiceNow, and others Industry Focus Mid-sized teams managing shared knowledge across departments AI Highlights Contextual search with browser and chat integration. AI verifies and surfaces knowledge where teams work. ✅Key Features Guru serves as an intelligent knowledge layer embedded in your daily communication tools like Slack and Microsoft Teams. Instead of requiring users to search external knowledge bases, Guru proactively delivers relevant answers directly within the flow of conversations. Its AI suggests content based on context, while built-in verification workflows help teams ensure the accuracy and freshness of shared knowledge. ✅Strength Fast rollout, intuitive UX, and productivity-focused search integrations. Teams can deploy within a week. ✅Trade off Limited support for structured metadata or large enterprise scaling. Custom data modeling not supported. 5. Lucidwork Fusion Category Details Effective for Regulated organizations requiring scalable, multilingual, and secure search infrastructure Integrated Tools Salesforce, ServiceNow, SharePoint, SAP,

12 Essential AI Prompts for Customer Support Teams

photo credit to: www.simplr.ai Customer support has become increasingly complex and challenging due to the expansion of real-time inquiry channels such as email, live chat, and messenger apps and the global reach of modern businesses. Customers now expect instant, accurate, and personalized support, with inquiries coming in 24/7 and in multiple languages. Fortunately, AI innovations like ChatGPT and modern assistant tools are paving the way for smarter, more scalable support. These tools have the potential to significantly reduce the workload on support teams by automating responses and improving service quality. See related article However, just using AI tools doesn’t mean you’ll see results. Without the right approach, even the most powerful tools may fall short. In particular, the accuracy and effectiveness of AI responses largely depend on how prompts are written. Well-crafted prompts tailored to real-world business scenarios can make all the difference in delivering exceptional customer support. In this article, we will explore practical, ready-to-use AI prompts designed to help e-commerce teams improve their customer service.   What is an AI Prompt and How It Works? An AI prompt is the input or instruction given to a generative AI model like ChatGPT to guide its response. In simpler terms, it’s the way you “ask” the AI to do something. This can range from a question or a sentence to a detailed scenario or task description. For example, if you type:“Write a friendly reply to a customer asking about delayed shipping,”the AI will generate a response based on that instruction, drawing from patterns it has learned from vast amounts of training data. The way a prompt is written significantly affects the output. A clear, specific prompt leads to more accurate, relevant, and useful responses. Vague or overly broad prompts can result in generic or off-target answers. In the context of customer support, prompts can be tailored to match real-life service situations—such as handling complaints, explaining return policies, or providing product recommendations. When prompts are tailored to real business scenarios, AI becomes a dependable partner for improving service quality and operational efficiency.   AI Prompts for E-commerce Customer Support 1. Handling Shipping Delays Customers often worry when their orders are late. Use this prompt to generate a helpful and empathetic reply: Prompt:“The customer is expressing frustration about a shipping delay. Write a polite and empathetic response that includes the shipping status and expected delivery date. Customer message: ‘[Customer message]’”   2. Managing Return and Exchange Requests Returns and exchanges are very common in online shopping. Here’s how to guide your AI to handle them effectively: Prompt:“The customer is requesting a return or exchange. Write a helpful message that explains the process clearly and includes any important policies. Customer message: ‘[Customer message]’”   3. Resolving Payment Issues Payment errors can frustrate customers and cause order abandonment. Use this prompt to offer support calmly and clearly: Prompt:“The customer encountered a payment issue. Provide a clear and friendly explanation along with step-by-step troubleshooting. Customer message: ‘[Customer message]’”   4. Order Cancellation Sometimes customers need to cancel an order. This prompt helps your AI guide them through the process: Prompt:“The customer wants to cancel their recent order. Write a response that explains the cancellation policy. Customer message: ‘[Customer message]’”   5. Answering Product Questions When customers ask about product details, accuracy matters. Use this prompt to deliver concise and helpful responses: Prompt:“The customer is asking about product features. Write a clear, friendly, and informative reply. Customer message: ‘[Customer message]’”   6. Responding to Reviews AI can help you respond to both good and bad reviews quickly and professionally. Prompt:“The customer left a review. If it’s positive, thank them and invite them back. If it’s negative, acknowledge their concerns and promise improvement. Customer review: ‘[Customer review]’”   7. Promotions and Discounts E-commerce shoppers love deals. Here’s a prompt for when they ask about discounts or coupons: Prompt:“The customer is asking about discounts. Respond with current promotions and how to apply coupons. Customer message: ‘[Customer message]’”   8. Back-in-Stock Notifications When popular items sell out, shoppers often ask if they’ll return. This prompt helps you respond and even suggest alternatives: Prompt:“The customer asked if a sold-out item will be restocked. Provide availability information and recommend similar products if needed. Customer message: ‘[Customer message]’”   9. Back-in-Stock Notifications Sometimes the AI needs additional details to resolve an issue. Use this prompt to ask the customer for clarification politely: Prompt:“The customer asked a question, but more information is needed to provide a complete answer. Write a polite response asking for the necessary details. Customer message: ‘[Customer message]’”   10. Escalating to a Human Agent Some issues require personal attention from a human agent. Use this prompt to transfer the case smoothly: Prompt:“The customer has a complex or sensitive issue. Write a respectful message explaining that a human agent will follow up shortly. Customer message: ‘[Customer message]’”   11. Handling Multilingual Inquiries Global customers often reach out in different languages. Use this prompt to respond appropriately in their language: Prompt:“The customer wrote in [language]. Write a polite and accurate response in the same language about the status of their order. Customer message: ‘[Customer message]’”   12. Confirming Customer Identity or Order Before sharing sensitive order information, identity confirmation is often needed. Use this prompt to request it professionally: Prompt:“The customer is asking for order details, but we need to verify their identity. Write a professional message asking for their order number or email address. Customer message: ‘[Customer message]’”   Final Thoughts Great customer support doesn’t have to be time-consuming. With the right AI prompts, you can deliver consistent, friendly, and fast responses. Start by customizing the prompts above based on your tone, policies, and customer needs. Integrate them into your chatbot, helpdesk, or AI assistant to boost efficiency and improve customer satisfaction. But here’s a bigger question:What if your support team could instantly access every piece of relevant information from your internal systems, without switching tabs or asking other departments?   Meet Refinder AI: Enterprise AI Search That Understands

Generative AI vs. Enterprise AI Search: Key Differences

AI tools like ChatGPT have quickly become part of everyday work routines. From drafting documents to summarizing meetings, using AI now feels ordinary rather than revolutionary.As AI becomes more common in the workplace, a persistent challenge remains: many professionals are still unclear about what “AI” actually means in a business setting. It is common to assume that all AI works in the same way or can be used for the same purposes. In reality, technologies such as Generative AI and Enterprise AI Search are built on entirely different foundations. They are designed to solve different type of issues, rely on different data sources, and fit into workflows in very different ways. This article is not about choosing one over the other. Its goal is to provide a clear and practical comparison to help you understand what each type of AI is, what it can and cannot do, and how to evaluate them based on the needs of your organization. What Is Generative AI vs Enterprise AI Search? Generative AI refers to AI systems that create new content—text, code, or images—based on a user prompt. These systems are typically powered by large-scale models like Transformers or GANs, trained on massive public datasets. Enterprise AI Search, on the other hand, focuses on finding and organizing information across internal business systems. It uses AI to understand queries in context and retrieve relevant results from tools like Notion, Slack, or internal wikis. Most are built on Retrieval-Augmented Generation (RAG) architectures, enabling real-time search and synthesis based on internal documents and communication data. Key Differences Between Generative AI and Enterprise AI Search Category Generative AI Enterprise AI Search Purpose Content creation (text, code, images) Information retrieval and decision support Data Sources Public web data + some live search Real-time data from internal systems Response Flow Prompt → Direct output from model Prompt → Retrieve documents → Generate response Tech Stack Transformer, GAN NLP, ANN, RAG, Markov Decision Process Customization Limited (API-based) High (on-prem or private cloud deployments) Security & Compliance Potential data exposure Meets enterprise requirements (e.g., GDPR, ISO) Examples ChatGPT, Claude, Copilot, Stable Diffusion Glean, Coveo, Elastic, Microsoft AI Search, Refinder Purpose and Use Focus Generative AI is designed for rapid content generation. Tools like ChatGPT (OpenAI), Claude (Anthropic), and GitHub Copilot use pretrained data patterns to generate new text, images, or code based on user inputs. Enterprise AI Search is built to optimize decision-making and internal knowledge management. It connects disparate data sources and enables context-aware, accurate retrieval. Notable examples include Glean (focused on productivity), Coveo (customer experience optimization), Elastic (open-source search), Microsoft Azure AI Search (tightly integrated with Microsoft 365), and Refinder (designed for startups and smaller organizations). How They Use Data Generative AI relies on static training data—books, web content, encyclopedias—collected before deployment. Some tools now include real-time web browsing (e.g., Perplexity, ChatGPT Browse), but most responses still stem from pre-trained knowledge. Enterprise AI Search works with real-time data. It connects directly to systems like CRM, ERP, Slack, and file storage platforms. When a user submits a query, the system retrieves and synthesizes data on the spot. This ensures current, traceable answers with clear sources. How They Work Generative AI predicts the most likely word sequence based on patterns learned during training. For example, for the prompt “The capital of France is,” a model might assign probabilities—Paris (90%), London (5%), Berlin (3%)—and output the most likely result: “Paris.” This approach mimics human language prediction but doesn’t verify facts in real time, which can lead to misinformation or “hallucinations.” Enterprise AI Search combines retrieval and generation. A user submits a query, the system searches internal data, and the model generates a response based on the retrieved context. Using RAG, it ensures that answers are grounded in actual documents, reducing the risk of misinformation. Technology Under the Hood Generative AI uses technologies like Transformers (for language modeling) and GANs (for image generation). These tools are mostly cloud-based, easy to access via API, and widely adopted. However, customization is limited. Companies can’t easily control access levels or restrict data scope based on internal policies. Enterprise AI Search combines NLP, ANN (approximate nearest neighbor search), RAG, and probabilistic reasoning (e.g., Markov Decision Processes). These systems can be deployed on-premise or in private cloud environments and allow granular customization—such as user-level access control, audit logging, or custom search boundaries. Security and Compliance Security is a key concern in enterprise environments. Generative AI typically runs on public cloud infrastructure, meaning organizations have limited control over data storage and access policies. This makes it less suitable for industries with strict compliance needs. Enterprise AI Search offers tighter control. Solutions can be hosted within a company’s infrastructure and include features like encryption, user access control, and detailed audit trails. These capabilities make them more suitable for regulated industries such as finance or healthcare. Understanding Work Context Generative AI doesn’t understand business context. It can process text, but it doesn’t know who created a document, what project it belongs to, or why it exists. This lack of context can result in generic or irrelevant answers. Enterprise AI Search, however, can analyze metadata such as authorship, timestamps, version history, and project affiliations. It can answer questions like “Who created this file?” or “Which project is this document part of?”—making it valuable for tasks like handovers, project onboarding, and compliance reviews. Comparing Use Cases: Generative AI vs. Enterprise AI Search Here’s a question that often gets overlooked: how exactly do these two types of AI differ in how they are used? They may seem similar at a glance, but in practice, they serve very different functions. The differences become especially clear when you look at where each one is actually applied. Generative AI Enterprise AI Search Marketing copywriting Internal document retrieval Code generation Regulatory document tracking Meeting summaries, brainstorming Project-specific knowledge support Text formatting and translation Customer inquiry tracking and response automation Which AI Is Right for Your Business? With so many AI options available, choosing the right solution has a

Key Features of Refinder AI Search and Assistant

In a recent report by WSP and Savanta, Dan Scott, Director of Data Science at WSP, stated: ”𝘼𝙄 𝙬𝙤𝙣’𝙩 𝙨𝙩𝙚𝙖𝙡 𝙮𝙤𝙪𝙧 𝙟𝙤𝙗, 𝙗𝙪𝙩 𝙨𝙤𝙢𝙚𝙤𝙣𝙚 𝙪𝙨𝙞𝙣𝙜 𝘼𝙄 𝙢𝙞𝙜𝙝𝙩.”This highlights that adopting and leveraging AI is no longer a choice but a necessity. In this article, we’ll explore the key features of Refinder AI, a powerful yet easy-to-use enterprise solution for integrating AI into the workplace. Refinder AI unified data scattered across various work tools, making it easy to search and retrieve information. More than just a search tool, it provides actionable insights to enhance productivity. Here’s a closer look at what Refinder has to offer. AI Search Search across all data in one place: Refinder integrates with leading productivity tools like Gmail, Google Drive, Confluence, Jira, Slack, and Notion. It consolidates fragmented information across these platforms into a unified workspace, eliminating the need for manual searches and enhancing productivity. For instance, searching for “marketing campaign report” retrieves related emails from Gmail, documents from Google Drive, and Slack messages — all displayed together in a single search result. Time-saving: According to Forbes, employees spend an average of 2.5 hours daily searching for data. Refinder reduces this time by half, enabling teams to focus on high-value tasks that drive results. AI Assistant Intent analysis: Refinder analyzes the intent behind user queries. Going beyond simple searches, it leverages NLP (Natural Language Processing) technology to understand the context of questions, providing tailored answers and summarizing key information. Priority ranking: Using RAG (Retrieval-Augmented Generation) technology, Refinder ranks data by relevance and importance, delivering the most pertinent results. For example, when searching for “Q2 sales data,” it identifies and prioritizes key terms like “sales” and “Q2,” providing relevant documents and data at the top of the results list. Follow-up question suggestions: Refinder builds on previous interactions to suggest additional questions for deeper insights. For example, after asking about “this year’s campaign performance,” it may suggest follow-up queries like “comparison of Q2 and Q3 performance.” Easy Integration, No Maintenance Easy integration: Refinder simplifies integration with major business applications without requiring any development expertise. Even non-developers can connect their tools with just a few clicks, enabling scalable AI adoption across teams.👉Check out the Refinder User Guide Maintenance-free operation: Designed for hands-free maintenance, Refinder autonomously updates to provide the latest search results, reducing the operational burden on IT teams. Generative AI powered Precise responses and solution recommendations: Refinder interprets user queries with high accuracy, offering highly relevant additional information while also suggesting actionable solutions. For example, when asked for “new hiring strategy ideas,” it generates concrete recommendations based on relevant documents. Continuous learning and optimization: Refinder continuously learns from users’ search patterns and preferences, delivering increasingly accurate and meaningful results over time. As enterprise needs evolve, Refinder adapts to ensure its solutions remain effective and precise. Refinder consolidates data, accelerates productivity, and secures sensitive information — all powered by AI and technology. Don’t waste another moment searching through fragmented data. Experience the future of enterprise productivity with Refinder today. Get started with Refinder now 👉 Click here to see how seamlessly it integrates into your workflow! Recent articles

Refinder AI: AI Assistant Guide for Users

A Harvard research found that the average employee switches between apps and websites nearly 1,200 times daily. Another McKinsey study that found that the average interaction worker spends nearly 20% of their time looking for internal information paints an even clearer picture. That’s like spending one full day every week just searching for things instead of getting work done. For small and medium enterprises (SMEs), startups, and even enterprises, the sheer volume of workplace tools often creates a frustrating maze of scattered data. Imagine if all your organization’s data was seamlessly connected and instantly accessible in one place, with trustworthy answers at your fingertips. This is exactly what Refinder AI delivers — a universal search and assistant designed to transform how you work. What Problem Does Refinder Solve? Modern workplaces are overwhelmed with tools — CRMs, cloud storage, project management platforms, and communication apps. While these tools boost productivity individually, they create silos of information that make searching for content a frustrating chore. The more apps you use, the harder it gets to find what you need, when you need it. Refinder AI bridges these silos, acting as a central hub that connects all your workplace tools. Refinder AI assistant is designed for everyone — from freelancers to SMEs and global enterprises. Here’s how you might relate: Startups: You’re juggling dozens of tools, trying to scale quickly. Refinder helps by simplifying startup productivity with generative AI, enabling you to find critical information without wasting time. SMEs: You want to adopt AI but worry about cost or complexity. With Refinder, you get affordable, easy-to-implement AI. It’s an excellent solution for exploring AI adoption for SMEs without breaking the bank. Enterprises: For organizations handling massive data sets, Refinder ensures seamless, secure access to data across platforms, saving time and reducing frustration. What does this mean for you? Whether you’re an HR manager, a developer, or a business owner, Refinder makes accessing the information you need effortless and intuitive. How to Use Refinder (Step by Step) Getting started with Refinder AI is as simple as it gets — no developers are required. Here’s a step-by-step walkthrough: 1. Sign up with Your Email To begin, enter your email address to receive a personalized sign-up link. You’ll get an email with a one-click link to activate your workspace. No long forms or confusing processes — just simplicity from the start. 2. Activate Your Workspace Clicking the link activates your workspace, taking you to a clean and user-friendly dashboard. Next, enter basic details, like your workspace name and URL, to personalize your experience. This is where your centralized workspace starts to take shape, as shown below: 3. Choose Your Plan The next page allows you to select a plan. Not ready to commit? No problem — try Refinder AI free for 30 days with no strings attached. The best part? You can start your trial without needing to enter any credit card information As shown above, you can select either a monthly plan or an annual plan, with the latter offering a discounted price, at just $3.99. The annual plan offers better value for a long-term solution, while the monthly plan might be ideal if you prefer flexibility. With either plan, you’re getting access to Refinder’s full capabilities, including unlimited integrations, intelligent search, and secure data handling — at a price that works for your business. 4. Connect Your Tools Once your workspace is active, you’ll connect your apps and services. Start by linking public apps like Google Drive, Dropbox, or Figma. These are pre-selected for ease of use. Want to expand? Use the “Add App” button to connect other services or request apps not listed. With a few clicks, you can unify your organization’s apps without involving IT specialists. This makes Refinder ideal for startups where resources are limited or SMEs concerned about the complexity of AI Adoption for SMEs. Why it matters: Saves Time: Integration takes minutes, not weeks. No Maintenance: Refinder runs without requiring updates or downtime. Secure and Controlled: Advanced permissions ensure the right people access the right data. Note: Public Documents provide search results to all authorized users, while User Addition Documents limit access to specific users who connect to the app. Once apps are integrated, your connected apps list will look like this: 5. Add Users to Your Workspace Refinder makes it easy to scale your workspace for larger teams. Under User Management, you can invite team members to collaborate. Click [Add User] to manually add users or upload multiple user details using a template. 6. Customize Your Workspace Finally, personalize your workspace with your organization’s details. Enter your company’s name, industry, and other relevant information so you can search for and manage organizational data seamlessly. After these simple steps, Refinder AI is ready to power your team’s productivity. You’ll now have unified access to all your data, simplifying workflows and improving efficiency. We’ll now see what that might look like in action. Use Cases: See Refinder in Action To truly appreciate the power of Refinder AI, let’s see how it works in real-world scenarios. Say you’re racing against a deadline and need to find a document about your company’s SEO project. Instead of wading through endless files across multiple platforms, you simply input: “Find the document on our SEO project” Within seconds, Refinder scours thousands of documents across all your connected apps — like Google Drive, Notion, or Slack — and delivers a curated list of possible matches. The results are not just a cluttered dump of files. Refinder makes your life easier by offering filtering options. You can refine results by time, document type, specific apps, and more. This helps you quickly narrow down your search, ensuring you find exactly what you need. Refinder doesn’t stop at merely locating your document. Alongside the results, it generates a concise summary of the document’s contents, offering key insights that save you the trouble of opening each file. Even better, Refinder uses its AI capabilities to recommend other related files you might find useful. For example: If your SEO project document mentions “content strategy,” Refinder might suggest additional reports on past content strategies or relevant