Why Every Employee Should Have Sanctioned Secure Access to New AI Thinking Models Machine Learning generative AI Guest Authors By Vinay Goel On Jan 30, 2025 Share How AI can help Businesses Run Service Centres and Contact Centres at Lower Costs? Related Posts Mar 17, 2025 Mar 17, 2025 Mar 17, 2025 1 of 12,134 Taking Generative AI from Proof of Concept to Production Share Vinay Goel All You might also like More from author Machine Learning Beroe Acquires nnamu to Turbocharge Procurement Negotiations with Game Theory and AI Machine Learning H2O.ai and VAST Data Turn Massive Enterprise Datasets into Domain-specific Insights… Machine Learning Kasm Technologies Partners with Dispersive to Deliver Zero-Trust Access for AI… Machine Learning Solo.io Announces Kagent Agentic AI Framework for Cloud Native Ecosystem Follow Us NEWS INTERVIEWS INSIGHTS EVENTS CONTACT US Facebook Facebook X-twitter X-twitter Linkedin Linkedin  In the frenzied rush to embrace artificial intelligence, organizations are discovering a critical truth: success isn’t measured by the speed of AI adoption, but rather by the strategy behind the implementation. AI adoption requires more than enthusiasm — it demands strategic, top-down implementation led by IT departments and C-suite executives. The continuing emergence of new AI models is not about replacing humans and automating intelligence. Rather, it’s about how employees and companies can use these tools as vital resources to become more efficient. Providing employees with secure and sanctioned access to the latest AI assistants with advanced reasoning capabilities empowers them to reshape how they work, think and solve problems in a safe and managed environment. Artificial Intelligence is revolutionizing productivity by automating routine tasks and boosting efficiency, all while maintaining or even enhancing the quality of work. According to a recent report from the U.S. Chamber of Commerce, 40 percent of small businesses are now using generative AI tools and are experiencing growth as a result. Used correctly, AI can be a helpful instrument for companies and individuals, providing much-needed shortcuts and new perspectives.Generative AI can create competitive advantage by freeing up employees to focus on higher-value activities, assisting in rapid prototyping, idea generation and problem-solving, thus speeding up innovation cycles. By leveraging Generative AI effectively across daily tasks, businesses can gain a significant edge over competitors who are slower to adopt or less adept at implementing these technologies. By interacting with advanced AI models, employees can ask questions and gain insights, helping to foster a deeper understanding of their industry and drive framework-driven analysis and decision-making. In industries such as legal, attorneys can use AI to quickly sift through volumes of case law and use the gathered information to develop strong strategies and make well-informed business decisions. In healthcare, employees can use AI to help support digital communications or improve the speed and accuracy of patient visits. However, it’s crucial to implement Gen AI responsibly and ethically, ensuring data privacy and addressing potential biases. Ensuring these tools are used safely, and with oversight, is extremely important as the risks of using AI are often hidden from the user. This is especially true in industries like finance, healthcare, and others where regulation stipulates stringent rules around data usage. While AI’s transformative potential is undeniable, organizations face substantial adoption hurdles. Beyond the clear technical challenges, enterprises must navigate complex compliance requirements, safeguard privacy, manage significant costs, and address unforeseen complications. Beroe Acquires nnamu to Turbocharge Procurement Negotiations with Game Theory and AI H2O.ai and VAST Data Turn Massive Enterprise Datasets into Domain-specific Insights with Agentic AI Solution Kasm Technologies Partners with Dispersive to Deliver Zero-Trust Access for AI Workspaces in Oracle Cloud Increasingly we’re seeing executives and leadership block access to AI assistants despite employees’ desire to use it, creating a gap between official company AI policies and actual employee behavior. The harsh truth is that employees are going to use it anyway, whether it’s on personal or company devices. In this case, IT teams should provide a consistent approach organization-wide, instead of risking the mishandling of data and private information via shadow IT. By providing approved AI tools and clear usage guidelines, organizations can ensure the safe use of AI. On an organizational level, many companies view AI as difficult and expensive to implement. Using AI can require robust security measures, privacy controls and computing resources. Navigating these challenges can require employee education and systems that have encryption or contextual data redaction for AI conversations enabled. According to Wald.ai, 30% of all user queries to AI assistants have sensitive and confidential data. This risk can be particularly severe when employees use public AI tools for work-related tasks. Apps like ChatGPT can result in data leakage and compliance violations, making safe AI systems and practices more important than ever. Using global data sets, Netskope researchers found that 96% of businesses are now using genAI — a number that has tripled over the past 12 months. Not adopting AI may harm businesses more than help them, leaving companies and their employees behind. However, they should not be adopting AI without care, consideration and data security. IT departments can seamlessly integrate AI tools into their existing enterprise systems, ensuring compatibility with current workflows and security protocols. This integration can eliminate the difficulties that often occur with department-by-department adoption as well as proactively prevent security issues that arise from unauthorized AI tools. Using AI without IT oversight can jeopardize a company’s reputation and risk data leakage. New AI thinking models can equip employees with the fundamental skills and frameworks to tackle complex issues independently and collaboratively. When IT teams take a proactive role in recommending and implementing AI solutions, they create an environment of trust and usability, which fosters broader adoption among employees. Company-wide adoption is necessary for AI to make a difference in an organization, so it’s important for IT Teams and even executive teams to lead the charge. Successful implementation of AI can look different for every company, but one thing is true: the era of fragmented, bottom-up AI adoption is over. As AI capabilities become more sophisticated and integral to business operations, IT-led, top-down implementation isn’t just an option – it’s a necessity. Organizations that embrace this approach will find themselves better positioned to harness AI’s full potential while maintaining security, efficiency, and control. Vinay is the CEO and co-founder of Wald.ai. Vinay was Chief Digital Product Officer at JLL where he led and scaled a global product development organization. Before joining JLL, he spent over a decade at Google leading product teams across Google Maps and Enterprise. Prev Post The Impact of AI on IT Operations: A New Era in Enterprise Tech Management Next Post UST and Experian Announce Strategic Partnership to Deliver AI-enabled Product Innovation Beroe Acquires nnamu to Turbocharge Procurement Negotiations with Game Theory and AI H2O.ai and VAST Data Turn Massive Enterprise Datasets into Domain-specific Insights… Kasm Technologies Partners with Dispersive to Deliver Zero-Trust Access for AI… Solo.io Announces Kagent Agentic AI Framework for Cloud Native Ecosystem Comments are closed. AiThority.com covers AI technology news, editorial insights and digital marketing trends from around the globe. Updates on modern marketing tech adoption, AI interviews, tech articles and events. Notifications