SymphonyAI announced Summit Apex, a new predictive and generative AI-based IT service management/enterprise service management (ITSM/ESM) platform to turbocharge productivity, simplify work, and create delightful experiences for end users, IT teams, and executives.
The new SymphonyAI Summit Apex platform delivers responsive, effective, and efficient ITSM/ESM capabilities with a lightweight architecture to roll out new services and resolve service requests up to 50% faster using generative AI.
New SymphonyAI Summit Apex applications can be deployed and taken live within weeks. IT teams can move quickly to deliver high-performance, cost-effective capabilities that delight users and transform team operations. The four applications include service management, asset management, service automation, and a generative AI-based digital agent for instant information and recommendations. The intuitive low-code/no-code Design Studio and workflow automation capabilities give IT teams the power to respond to users quickly and efficiently and automate workflows throughout the enterprise.
Coupled with generative AI-based copilots, the new SymphonyAI Summit Apex platform provides IT teams the tools to seamlessly deal with complex environments and heightened user demands while addressing the urgent priority to control costs. The overall result is an improved ROI on tools and technology, leapfrogs in productivity, and more satisfied employees enterprise-wide.
“SymphonyAI’s extensive track record and AI leadership are the foundation of this industry-leading generative and predictive AI platform, resulting in major improvements for IT teams rolling out new services and capabilities and seamless self-service for end users,” said Satyen Vyas, CEO of SymphonyAI Summit. “The time is right for organizations to embrace easy-to-use, intuitive, speedy, cost-effective IT and enterprise service management and workflow automation using the most current, innovative AI technology. We are thrilled to bring this powerful new Apex platform to market which, along with the impending launch of generative AI-based copilots, will dramatically transform IT with vastly improved productivity, ROI, and user satisfaction.”
The SymphonyAI Summit Apex platform includes four modules that can be used independently or together. This offers seamless interoperability for comprehensive capabilities while enabling organizations to adopt technology at their own pace according to their specific needs and priorities. The new solution delivers significant enhancements for each module:
- Service management. With a completely new sophisticated architecture, the service management module has a lightweight footprint, enabling faster overall performance and robust fault tolerance for extremely high reliability. The Design Studio’s simple drag-and-drop controls allow instant customization and rapid rollout of new services with preconfigured workflows in an elegant no-code/low-code interface. The configurable module lets users create multiple service-level agreement (SLA) policies as needed for different departments, locations, and groups.
- Asset management. Users can now add new assets in bulk with a simplified form, significantly speeding up new asset intake. As with the service management module, asset management is faster, easier to customize, and more reliable.
- Service automation. The new automation scheduler enables users to automatically schedule recurring jobs for infrastructure and applications, reusing automation workflows across multiple schedules to eliminate manual tasks and free up agents to focus on more strategic priorities. New user onboarding can be triggered from third-party applications in the enterprise to initiate both IT- and non-IT-related activities, speeding up and simplifying new user onboarding experiences. Real-time execution tracking enables end-to-end progress monitoring of tickets and flows.
- The digital agent. The agent uses sophisticated generative AI technologies to understand the intent of an incident, service request, or query. It provides real-time personalized recommendations so users can self-service quickly and easily on their device/interface of choice. End users are supported with dynamic chat, FAQs, and AI-based recommendations.
The Latest
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...
Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...
In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...
In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...
In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...
In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...
In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...
From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...