Latest news with #AIautomation
Associated Press
3 days ago
- Business
- Associated Press
Grooper and Mutara Launch AI Solution to Streamline College Admissions and Enrollment
New solution delivers faster, more accurate student intake and compliance for higher education institutions OKLAHOMA CITY, June 2, 2025 /PRNewswire/ -- Grooper, a leader in AI and document processing, and Mutara, Inc., a provider of SaaS solutions for student admissions and enrollment, today announced a strategic partnership to help colleges and universities modernize their admissions and compliance processes. The new joint solution uses AI to automate how student information is collected, verified, and processed - reducing manual work, improving data accuracy, and uncomplicating the student experience. Solving Admissions and Compliance Challenges with AI Higher education institutions are under increasing pressure to manage growing volumes of student documentation, meet complex regulatory requirements, and deliver a seamless experience to applicants. Verifying documents for enrollment, residency, citizenship, and financial aid has traditionally been a slow, manual, and error-prone process. This partnership introduces a smarter, AI-driven approach. This replaces outdated workflows with automation that uses official documents as the source of truth. 'Institutions are looking for new ways to reduce costs, improve efficiency, and enhance the student experience,' said Dan Rotelli, CEO of BIS. 'Our partnership with Mutara directly addresses these challenges by automating manual processes, improving data quality, and ensuring greater compliance.' How the Grooper-Mutara Solution Works Together, they deliver a seamless, end-to-end solution that ensures accurate, verified data enters your systems of record. Benefits for Admissions and Enrollment Teams 'This is more than just automation—it's a smarter way to manage the entire student intake process,' said Larry Grey, CEO of Mutara, Inc. 'By integrating Grooper's document intelligence with our student intake and compliance platform, we're giving institutions the tools they need to focus on students, not paperwork.' About Grooper and BIS BIS is the creator of Grooper, an award-winning AI and document processing platform that empowers today's digital workforce by helping institutions and organizations extract meaningful information from any document, regardless of format or complexity. By combining AI, machine learning, and OCR, Grooper transforms unstructured data into actionable insights. This enables faster decisions, smarter operations, and greater efficiency. Learn more at About Mutara Mutara develops SaaS solutions that help higher education institutions meet their compliance and enrollment goals. Its configurable applications support admissions, residency, financial aid, and continuing education—making it easier to collect accurate information, verify it, and comply with policies. Learn more at View original content to download multimedia: SOURCE Grooper
Yahoo
4 days ago
- Business
- Yahoo
Scholl Says AI Automation Can Bring Down Labor Cost
Boom Supersonic Founder & CEO Blake Scholl speaks at the Reagan National Economic Forum in California on labor costs and AI automation. He says that the US has a cost disadvantage in "everything that is attached to labor costs" and that we can't "subsidize and tariff" our way through that disadvantage. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Bloomberg
6 days ago
- Business
- Bloomberg
Scholl Says Use AI Automation Bring to Down Labor Cost
Boom Supersonic Founder & CEO Blake Scholl speaks at the Reagan National Economic Forum in California on labor costs and AI automation. He says that the US has a cost disadvantage in "everything that is attached to labor costs" and that we can't "subsidize and tariff" our way through that disadvantage. (Source: Bloomberg)
Forbes
28-05-2025
- Business
- Forbes
The Importance Of The Human Touch In Modern-Day Customer Support
Hamed Mazrouei, Founder and CEO Vivant and Milagro. Automated chatbots respond in milliseconds. Self-service portals are available 24/7. Sure, these tools may help with hold times, yet when a customer feels unheard, no algorithm or generative AI agent will be able to reverse frustration or even restore trust. As businesses scale and support strives to use automation to become increasingly efficient and always available, the challenge isn't how fast you respond—it's how human you remain. Let's face it, sometimes we just need to talk to a person. A report by Gartner predicts that "80% of customer service and support organizations will be applying generative AI technology in some form to improve agent productivity and customer experience (CX)" and this technology "will transform customer service and support by 2028." But is it really helping customers have a better experience? Maybe. According to customer service executives, the biggest customer service challenge they face is slow response times. In that link, Sprinklr shares an example of one company that reduced its average response time from six hours to just 70 minutes using AI automation. That's all fine and good as long as the responses are actually resolving the issues. Done correctly, you build customer loyalty and a reason for positive word-of-mouth. Not only that, it inspires repeat purchases—88% of the time, according to amplifAI. On the other hand, if the AI agent does not provide a resolution or is difficult to use, it will have damaging effects. Some of the reasons why customers become frustrated with automated customer support include: • Having to reword the issue multiple times so the AI agent understands it and provides a relevant solution • Not being directed to a human agent if the issue is not resolved, or worse, having to repeat the issue all over again; in other words, there is not a seamless transition or retention of conversation history across interactions • Not providing adequate self-service articles on information on the online portal • The issue remains unresolved after multiple attempts In short, customers expect their support experience to be as close to effortless as possible. The best AI agents can actually replicate the human's ability to gauge the mood or emotion of the customer, anticipate the need for escalation to a human agent and facilitate a seamless transition. Identify. In a chat or automated voice response system, it can tell if the customer is getting frustrated or is unhappy by reading cues such as all caps or exclamation points, asking for a live agent, looking for alternative channels, even abandoning the chat. If your self-service portal is advanced, sentiment cues can also be found there, such as a search that seems to be failing (multiple attempts to reword the issue) or, again, abandoning the search. Anticipate. A "smart" agent will recognize the need to escalate the customer to a live agent and proactively offer to do so. "You don't seem to be finding what you need." Or, "How about I get you to a live agent to further assist?" Escalate. This part is key. If the customer is already on edge from their failed bot experience, make sure your system allows for an expedited transition to a live agent. Nothing is worse than sending an already frustrated customer to a lengthy wait or another round of being on hold. And transfer the call, chat or search transcript with them so the live agent can pick up where the automated agent left off. Set the live human agent up for success. The best way to turn around an unhappy customer is to quickly resolve the issue and then exceed their expectations. But first, if it is an expedited situation, the human agent should address the reason for the escalation. "Looks like you already spent some time on our self-service portal. I'm sorry you didn't find what you needed. Let me help, and we'll get this resolved for you quickly." One of the biggest sources of frustration with automated tools is that if the customer can't get the help they need, they don't have a way to express themselves to a bot. Often, simply a friendly voice on the other end of the phone (or chat) is enough to diffuse the situation. One mistake companies make is not understanding the impact of AI on the customer journey. The companies that win aren't just leveraging technology to impact efficiencies; they're designing every interaction with empathy, intuitiveness and the unmistakable reassurance of a real human connection. Companies looking to apply AI to their customer service operation should keep their motivations in check. If it's to downsize their human support staff and save money, it can make sense as long as the remaining support agents are more efficient, relieved of mundane repetitive tasks and more available to help solve complex problems … or to simply talk to a person who wants to talk to a person! The key is to first focus on the customer in front of you and consider integrating AI technology to help employees provide the best possible experience, from one human to another. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Forbes
27-05-2025
- Business
- Forbes
How To Implement AI-Driven Automation For Revenue Generation
Adnan Ghaffar, CEO of In today's competitive business environment, efficiency, cost reduction and profitability improvement are issues constantly at the forefront of leaders' minds. However, the conventional business model typically has employees doing repetitive jobs such as sending emails, handling transactions and updating customer accounts. These seemingly insignificant tasks can build up, causing the company to lose valuable time and resources and leaving less opportunities for creativity, invention or problem-solving. In addition, manual activities are prone to human mistakes. A data-entry error could lead to missed opportunities, operational inefficiencies or even legal problems. As businesses scale in size, these flaws in manual processes can inflict greater damages on overall productivity and profitability. One tool that is helping business leaders overcome these challenges is AI automation. Through my experience leading automation efforts, I've seen firsthand how AI-based automation tools can fundamentally transform businesses, freeing up employees from mundane tasks and driving both innovation and growth. These experiences have deepened my conviction that, when implemented properly, AI can complement rather than replace human skill in ways that give companies the freedom to thrive. AI-based automation is a type of AI tool designed to execute repetitive tasks fast and precisely. What used to take hours of human labor—such as processing orders and managing emails—can be executed in seconds by automated systems powered by AI. Furthermore, companies can now depend on smart systems not only to perform these activities but also to enhance their efficiency with the passage of time. Code automation tools can help companies design systems that don't just execute processes but also learn from data to optimize workflows. In my experience, this more refined approach to automation can provide several key benefits: Using automation to cover more repetitive jobs can reduce costs by diminishing the need for human resources. Studies indicate that AI automation can lower operational expenses by as much as 32% through the automation of repetitive tasks, thus minimizing human resource needs in those areas. For instance, many companies are using chatbots to resolve basic customer questions 24/7. However, this doesn't mean that AI tools should replace human jobs altogether; rather, the automation of simple tasks can liberate employees from drudgery, enabling them to concentrate on strategic and high-value work that contributes to business expansion. Consequently, the workers are in a position to work more meaningful and creative positions, which I've found can contribute to greater job satisfaction as well as productivity. Instead of spending hours fulfilling orders or waiting to answer consumer questions, personnel can use their time to build connections, solve complicated problems or develop new revenue streams. By the processing and examination of very large volumes of data, AI tools can spot trends and patterns that might go unnoticed otherwise. These advancements can give businesses the ability to make informed, data-driven choices and rapidly alter their strategy in response to shifts in the market. For example, AI tools can observe purchasing patterns and use that to infer what consumers will buy so that the company can better target their ads. In order to properly execute AI automation within your organization, here are several best practices I recommend following: • Begin by having well-defined objectives in mind, such as automating repetitive and time-consuming tasks like data entry or customer service. • After defining these goals, select the appropriate AI tools depending on their scalability, user-friendliness and compatibility with your already-installed systems. Start with a limited number of processes, and then expand incrementally while keeping an eye on the outcomes to determine if you are getting the expected results or if you need to pivot. • When introducing AI automation, be prepared to encounter integration problems, employee resistance and data privacy issues. Invest in employee training to ensure they understand and feel at ease using the new tools. In my experience, this can help increase adoption rates and productivity. You can also mitigate some of these challenges ahead of time by seeking the advice of experts, thoroughly preparing your AI implementation, and talking openly with your staff before and during the integration process. I have found AI-powered automation to be an incredibly useful tool for keeping up with a rapidly changing market. With a well-implemented system, companies can enhance profitability, enable employees, cut costs, and make more accurate, data-driven decisions. Forbes Business Council is the foremost growth and networking organization for business owners and leaders. Do I qualify?
