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Swish.ai

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What is Valence?

In the current business environment, companies are increasingly utilizing automation to streamline their operations by connecting various applications via direct APIs, SaaS marketplaces, third-party tools, and hyperautomation platforms, thus creating a SaaS to SaaS supply chain. This complex web of interconnected systems promotes the seamless exchange of data and permissions, but also leads to a proliferation of indiscriminate and shadow connectivity, which heightens the risk of supply chain attacks, misconfigurations, and data breaches. To address these vulnerabilities, it is vital to bring the SaaS to SaaS connectivity into transparent view and comprehensively assess the associated risk landscape. Organizations must actively recognize and inform stakeholders about potential risks linked to system changes, new integrations, and atypical data transfers. Moreover, adopting zero trust principles throughout the SaaS to SaaS supply chain, alongside robust governance and policy enforcement, is essential for effective risk management. This comprehensive strategy allows for rapid, continuous, and low-impact oversight of the SaaS to SaaS supply chain's risk profile. In addition, it promotes collaboration between teams responsible for business applications and enterprise IT security, resulting in a more secure and streamlined operational ecosystem. By focusing on these proactive measures, organizations can significantly enhance their defenses against evolving cyber threats while ensuring a resilient operational framework that adapts to the changing landscape.

What is Swish.ai?

Introducing an innovative hyperautomation platform that flawlessly integrates with existing ITSM tools to deliver insights and actions in real-time, significantly speeding up ticket resolution and reducing costs. The Swish.ai hyperautomation platform excels in analyzing and automating workflows while also forecasting the best possible actions to ensure that issues are promptly assigned to the right agent. By evaluating your historical ITSM ticket data, this platform develops adaptive AI models that evolve to capture insights relevant to your specific environment. Its patented technology goes beyond conventional natural language processing by understanding the unique terminology of your organization, which enhances the clarity of each ticket's underlying issue and accurately identifies the next best action as it occurs. Once tickets are categorized accurately, the platform utilizes additional real-time data points to direct them to the most qualified agents. In addition, we provide extensive reference materials to equip agents with the necessary tools to resolve tickets efficiently, preventing unnecessary delays or redirection. This comprehensive approach not only optimizes operational processes but also enables agents to excel in their roles, ultimately leading to improved customer satisfaction and operational efficiency. By harnessing the power of advanced technology, Swish.ai positions itself as a game-changer in the ITSM landscape.