By Chris Munford, Nethopper's CEO and Founder Last week, I had the opportunity to present Nethopper at the weekly Learning Lab, hosted by Paul Baier. It was a great session where I shared our vision for enterprise search and insights with AI—while keeping security and privacy front and center. Paul kindly described the talk as “well worth a listen” and positioned Nethopper alongside other leading vendors like Glean, all focused on AI-powered enterprise search that respects company trust boundaries, governance, and role-based access control (RBAC). Hearing that was encouraging because these are exactly the principles we built Nethopper around. Why We Built Nethopper In today’s workplace, employees are overwhelmed by fragmented data spread across multiple SaaS platforms—OneDrive, Google Drive, Slack, Confluence, GitHub, and many more. This fragmentation wastes a huge amount of time. According to McKinsey, knowledge workers spend 19% of their workweek just searching for information. For a mid-sized company, that translates into millions of dollars lost annually. At Nethopper, we believe AI can solve this problem by unifying search and insights across all work data—instantly and securely. Our platform acts like a personal AI chatbot for every employee, giving them fast access to the information they need, exactly when they need it. What Makes Nethopper Different Complete Data Access   We can connect to all the data sources your employees use, not just a portion. This means no more silos—just one unified search experience. Personalized and Secure Each user searches only the data they’re authorized to see, thanks to strict RBAC policies. Enterprise-Grade Security All AI operations happen inside your private IT environment. Your data never leaves your secure walls. Privacy First   We don’t use your data to train models or for any other purpose. Your information stays yours. What Enterprises Should Ask Their AI Vendors During the session, Paul and I discussed some important questions companies should ask when choosing a genenerative AI solution: What data will the AI access? Ideally, it should cover all the data your employees use. Where does the data go? The best answer is that it stays within your enterprise environment. How is access controlled? RBAC and strong governance are essential. Learn more about Nethopper's Secure AI Search If you missed the Learning Lab, I’d love to invite you to see Nethopper in action. We’re eager to partner with companies willing to test our platform and help us build an even better product. Together, we can unlock tremendous productivity gains by eliminating wasted search time. As Paul said, Nethopper is in the same category as Glean and other trusted vendors, focused on secure, AI-powered enterprise search. I’m proud of what we’re building and excited about what’s ahead. If you’re interested, please reach out to schedule a demo or chat . Let’s make work easier, faster, and more secure—together. You can watch the full presentation from the Learning Lab event on YouTube to see the demo and discussion in action. Here is an excerpt . Interested in calculating your organization’s hidden cost of wasted time? Learn more . — Thank you for reading. Learn about Nethopper’s Enterprise AI Search

The Hidden Cost of Wasted Time By Chris Munford, CEO & Founder, Nethopper Introduction If you’re like me, you are constantly searching for things at work. In fact, I just did it 5 minutes ago when searching for a prior blog to use as a template. I first searched my windows laptop, then my google drive, then my slack, then my email, then…   After 15 minutes, I had spent enough time searching and just used the best thing I found. It was just 15 minutes of my time, but I do this “search” several times a day, for almost all tasks. The rest of my team is doing this too.  I wonder what it’s costing my company? The root of the problem is that data is distributed across all our SaaS tools.  While these SaaS tools are great for collaboration, they come at the cost of data distribution and taking the time to search several places for information. However, there is a solution.  We’ve all experienced that GenAI (like ChatGPT) is great at searching and analyzing gobs of data, like all the world’s public data. I simply need to give all my SaaS data to generative AI, and ask it to find and summarize my data.  While public AI won’t do this (and I probably don’t want to give it my data anyway), there are new GenAI-powered search tools that will. These workplace search tools effectively ‘unify’ my data and eliminate the time it takes to search for what I want. They can also summarize, analyze, and even create more data and content. And that could dramatically make my company more productive. The Modern Enterprise Data Challenge It should be no surprise that there has been explosive growth in workplace SaaS tools like Slack, Confluence, Google Drive, Salesforce, Gmail, OneDrive, Ramp, etc. There are really too many to name.  I approve the purchase for 15+ such tools at work, with a new request seemingly every month. The thing these SaaS tools have in common is to make specific tasks easier, especially for teams of people. For example, I use Slack, and it definitely makes team communication easier. As workers, we have many different types of tasks. And, naturally, we now have many different "SaaSes" or SaaS tools. However, each SaaS has the unintended consequence of creating an ‘information silo.’ When I have a new task, I don’t know which SaaS ‘silo’, or ‘silos’ has the correct information.  So, I conduct a multi-SaaS search, looking for the information I need. For example, if I have 5 relevant SaaS tools across my team, then I have 5 places to search before I can begin my task.   Often, the info I need is spread across multiple SaaS tools. Consider the hidden cost of all this searching, by everyone, for every task, on workforce productivity.  The primary cost is lost time due to searching. At the risk of getting technical, the cost here is: Avg # Tasks per employee per day x   Avg Time (minutes) searching per task x   # employees x   365 days per year x   Avg wage per hour _______________________________ $ Cost of Wasted Time For an example of a business with: Avg # Tasks per employee per day = 3 Avg Time searching per task = 15 minutes #employees = 500 Avg $ wage per hour = $40 Cost of Wasted Time = $5,475,000. That’s right—searching is costing this business over $5 million per year in wasted time! Now, consider the cost of poor search results on your business. Not all human searches are successful, and yield the latest and best information. The quality of the information found directly determines the quality of the outcome. For example, If we don’t find the right information, we’ll probably fail the task. If we don’t find the latest information, we’ll probably produce a poor result.  The impact of poor task results is hard to quantify.  Consider a simple example where a worker is trying to respond to a customer about an issue.  If the worker’s search results are wrong, incomplete, or out-of-date, then the customer will be unhappy, and you might lose their business. Unified Gen AI Search In my next blog post, I’ll explore unified generative AI search and how it can boost employee productivity. Read Part 2 now . Tired of wasting time looking for the info you need?

Why Private, Secure AI Matters for Your Business By Chris Munford, CEO & Founder, Nethopper In Part 1 , we discussed the hidden costs of wasted time. In Part 2 , we addressed the need for a unified generative AI search capability to enhance employee's productivity. In this blog, I'll address the need for private, secure AI. Why Enterprises Need Private, Secure AI OK, so let’s assume that Gen AI can help workers and improve their productivity. Which GenAI system should your company use? Public AI works great, but it doesn’t have the necessary business (SaaS) data to help. Each of your SaaS tools is coming out with “AI-enabled” support, but each only has access to one SaaS’s data and can’t get 360-degree insights. You could give all your data to public Gen AI providers like ChatGPT or Grok, but how? And what will they do with that data? Some of this data is proprietary or even regulated, and can’t be shared with a third party like ChatGPT.com . The best security promise that most public AI providers can offer is, “We won’t train our model with your data.” But is that good enough? Are you even allowed to share your data with them? There are serious data privacy risks with public GenAI tools. Instead of giving your data to public AI, what if you could bring the AI to your data, within your company’s secure environment? Then you don’t need to send your data anywhere. This approach is called “Private Enterprise AI,” and it can meet your data compliance and governance regulations, as well as internal policies. Private Enterprise AI can access all of your workers' individual SaaS data sources and provide AI insights without ever leaving your IT walled garden. This would pass even the most difficult security review or audit. Getting Started with Unified GenAI Search To get started with Unified GenAI search at work, do your research on companies that offer products and services. However, not all are created equally. You should look for the following capabilities: Data Integrations Make sure they work for you (Google Drive, Slack, Jira, Salesforce?). AI Models & Choice Ability to switch between models that work for you and your users. User-specific access controls Follows the auth rules for each user in your company. Scalability How will it perform if everyone uses it at once? Price Fixed or variable? For example, do you have to do ‘token’ math and risk a billing surprise? Also, watch out for those that are “just a wrapper” for public AI services, because they use APIs to access AI, and your data remains at risk (even if they promise to ‘not use your data to train models’). Instead, look for offerings that will set up a single-tenant Gen AI system that only your company can access, running on your domain or VPN. Final Thoughts Unified Gen AI Search can dramatically improve workforce productivity—by 10-20%, and that number will only grow as AI gets better. Remember that earlier example—in Part 1 —about the hidden cost of wasted time? In that scenario, searching is costing that business over $5 million per year, just because people can’t find what they need. Now, imagine if the company could cut that cost by 20%. That’s about $1.1 million saved every year with Unified Gen AI Search! That’s a million dollars you’re not throwing away on wasted time. Think about what your company could do with that kind of extra cash (and all the time your team gets back, too)! This is the most practical application of AI in the workplace, and most companies will eventually do this. Ask yourself: how much time and money will this save your company? Or your competitor’s company? Can your company afford not to do this? Secure Unified Gen AI makes it super easy for employees to find what they need—saving your team time, cutting wasted effort, and saving you money. If you decide to evaluate Unified Generative AI solutions, or want to know how much it can save, book your free demo now  or email us: info@nethopper.io . We’d love to talk with you.

Discover how our enterprise work AI search platform makes your company's knowledge easy to access and gain custom insights. Explore generative AI search and insights for your business. Book your free consultation today. Let’s Chat — No Pressure Free Consultation: Explore Gen AI Search & Insights for Your Business Schedule a session with our team to get all your questions answered—no obligation. Our Partners

Explore the promise (and reality) of Agentic-AI and how it compares with generative AI. Learn more. The Promise (and Reality) of Agentic AI Agentic AI—AI that executes decisions, adjusts workflows, and resolves issues independently—is an exciting vision, but as an industry, we’re not there yet. Achieving this future will require a strong foundation of generative AI for every employee, securely powered by your company’s data. Generative AI Agentic AI Think of Agentic AI as a universal adapter that directs the electricity to specific tools and workflows Execute tasks (audits, adjustments) by acting autonomously Integrates with automation tools (API, low code/no code, multi-agent collaboration) for proactive learning / decision making Minimizes human interaction, scales operations, optimizes workflows For operations leaders seeking automation (IT, finance) Think of Generative AI as electricity powering content creation Handles content creation, such as reports, workflows, and streamlines processes Delivers tailored solutions for departments or company-wide teams Reduces inefficiencies and costs through prompt-driven automation Ideal for marketing, HR, sales, and legal teams seeking rapid efficiency gains At a Glance: The Enterprise Journey to AI GOAL DRIVEN AGENTS: Enables fully autonomous, goal-driven agentic AI, guided by guardrails and human supervision, but without interaction or intervention. MULTI-AGENT SYSTEMS: Multi-agent AI requires communication, collaboration, and interaction among agents to tackle complex workflows. AGENTIC AI: Once you adopt gen AI, you start building departmental knowledge and automating important tasks and workflows, laying the groundwork for agentic AI. GENERATIVE AI ADOPTION: Start with Private AI for all employees and departments, focusing on a privacy-first approach. Agentic AI Starts with One Team, One Department Discover if you’re ready for agentic AI. Cross-Functional AI Solutions Tailored, repeatable AI-driven systems for marketing, sales, operations, and HR—optimizing workflows to eliminate labor-intensive tasks and operational inefficiencies. Agentic Workflow Automation Advanced capabilities like model selection, tuning, and autonomous task execution—seamlessly integrated into your core systems to adapt dynamically to changing needs. Organizational Intelligence Hub A centralized "corporate memory" that learns from team interactions, continuously refining processes and decision-making across departments. Department-Scale Automation Implement specialized AI agents (starting with one team) to automate key tasks and workflows, leveraging generative AI and learned operational patterns from prior engagements.

Nethopper uses unified generative AI search to help enterprise teams instantly find information across emails, Slack, drives, and more—securely, privately, and without wasted time. Empower every team with fast, accurate answers from all your business information. Gen AI Search That Powers Your Work Securely find data across emails, Slack, drives, and more—eliminate wasted time and empower every team with fast, accurate answers. Get a Demo Our Partners AI search that works for every team Enterprise generative AI designed to meet the needs of every employee, department, and team, enabling company data search and powering smarter work at every level. Read More Knowledge Search Hub Each employee gets a secure AI that searches company data and finds relevant information. Role-Specific Insights AI delivers answers and recommendations tailored to each department or function, using your proprietary data. Privacy and Security All AI operations stay within your infrastructure, ensuring full privacy and compliance. Flexible Deployment Deploy on private cloud, on-premises, or hybrid environments with full control. Enhance productivity by quickly finding insights, generating and summarizing content, and automating workflows with AI. Search, Gain Insights Enhances work productivity by connecting to multiple data sources and quickly finding the insights you need. Find info, documents, people Explore research and discoveries Uncover insights and opportunities Create, Summarize Provides an individualized knowledge base for each employee, controls access to ensure secure, personalized information. Create content and updates Summarize documents and meetings Automate communication responses Streamline Your Work Runs fully within your environment and automates tasks and workflows within your department and teams. Automate tasks and workflows Coordinate departmental processes Adapt to new tasks and projects ...Nethopper allows us to further our mission of democratizing access to predictive analytics. Hassan Ahmed, Ph.D., Chairman, CEO, and Co-Founder of Sway AI. What sets us apart Learn more Nethopper brings generative AI into everyday work. Our platform makes enterprise AI easy to use, secure, and scalable, so employees can boost productivity, automate tasks, and make smarter decisions-all while keeping data safe and compliant. What makes Nethopper different is our focus on fast, broad AI adoption without needing deep technical skills. Our flexible platform grows with your business and can be tailored to fit your industry and workflows. Plus, we offer ongoing support to ensure your AI tools keep delivering value. Play Video Play Video AI Powered Search Play Video Play Video Showcase: Reinventing Demand: How AI Is Changing Sales, Service & Growth Play Video Play Video Work AI for All Employees Play Video Play Video Why Private AI for Business? (1 min, 24 sec)