Since ScienceLogic was founded in 2003, our goal has been to support our partners, including Managed Service Providers (MSPs), with solutions that help them and their clients gain unparalleled visibility into their IT environments. Our objective has always been to help these organizations bring order to complexity, turn inefficiencies into productivity, and, in the process, help service providers and the companies they serve exceed their business objectives.
More than 20 years later, our company and its offerings have evolved along with our knowledge of the vital role of service providers. After decades of working closely with valued partners, we have developed a deep understanding of the market’s needs and priorities. We understand, for example, the continuous need for CEOs to keep their technology stacks running to differentiate themselves in a highly competitive marketplace.
We also understand that enterprises and their customers need help navigating updates to the legacy technologies and processes that threaten to restrict their ability to grow. Traditional service delivery models with little to no automation, the need to reactively solve incidents rather than proactively innovate for better business outcomes, and more, are holding them back.
At ScienceLogic, we know that AI is the answer, but understand the questions that come with it. Between traditional AI, generative AI, and machine learning, many solutions could help, but not all of them offer the complete suite of services that MSPs and enterprise clients require.
The ScienceLogic AI Platform does. It provides large companies that cater to various industries with the tools they and their clients need to respond to today’s business challenges—automatically, at scale, and with unparalleled speed.
Greater visibility, valuable insights, and efficient automation
Central to the ScienceLogic AI Platform is a concept we call “human-centric AI,” which uses AI to empower teams to work smarter and more efficiently. Our clients and their customers don’t want to replace human thought processes; they want to use AI to expand those processes.
The platform uses generative AI and machine learning to provide engineers at all levels with “human-friendly,” easy-to-follow insights. These recommendations, presented in intuitive dashboards and summaries, can be used for different use cases, such as:
- Establishing a unified service view across their entire hybrid cloud universes, including data centers and public and private clouds. With this visibility, they can break down siloes, consolidate disconnected monitoring tools, fuse real-time operational data, and assess and prioritize work based on its likely business impact.
- Harnessing the power of machine learning to gain valuable and actionable insights from hybrid infrastructure data. This intelligence helps staff take proactive and preventative actions to preserve the system health and customer experiences.
- Automating root cause analysis and troubleshooting. Skylar Automated Root Cause Analysis, a key platform component, replaces manually sifting through log files. The solution significantly reduces the Mean Time to Repair (MTTR). Meanwhile, customers can use the insights collected to automate routine operational tasks like collecting diagnostic data, exchanging operational data between systems, and executing ticket and remediation workflows.
An AI-centric addition to MSP portfolios
The ScienceLogic AI Platform is a compelling addition to MSPs’ portfolios. Today, customers crave AI-driven solutions that minimize the complexities inherent in their IT operations and improve productivity. The platform’s capabilities provide MSPs with a solution to up-level the value of their service offerings with holistic IT Operations and observability support to meet the evolving needs of their customers.
In fact, several MSPs have added the ScienceLogic AI Platform to their service offerings, and it’s no wonder why. The platform helps MSPs answer their clients’ demands for a solution that can scale in tandem with their business needs. The platform helps customers break down silos that exist between multi-cloud and distributed architectures, so organizations gain a complete picture of the inner workings of their IT estates.
Importantly, the ScienceLogic AI Platform is easily customized and tailored to each company’s unique business use case. One company might be primarily concerned with maintaining and monitoring cybersecurity compliance. Another might have increased efficiency at the top of its priority list. Yet another might value aligning IT processes with business strategy above all else.
The ScienceLogic AI Platform provides MSPs with a solution to meet all these needs. With ScienceLogic, MSPs and their customers can take advantage of new opportunities by modernizing operations and removing the constraints holding them back. They can also establish modern, agile, and efficient operations to expedite the delivery of solutions and stay competitive in today’s constantly changing business and IT environments.
Enabling the shift to productive growth
Shifting from a “growth at all costs” to a “productive growth” mindset is critical for the continued success of MSPs and their customers. We define productive growth as expanding while maintaining and improving efficiency and productivity sustainably. It’s not just about sales or even customer growth; it’s about enhancing operational performance, using resources wisely, and taking a long-term approach to business effectiveness.
These values drove the development of the ScienceLogic AI Platform and will continue to be a vital part of the solution moving forward. We intend to ensure that the ScienceLogic AI Platform will constantly evolve to meet the needs of partners and enterprises, providing them with a solution that allows them to grow productively, intelligently, and with a competitive advantage.
