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Serviceaide Adds New Capabilities to Luma

Serviceaide announced significant new capabilities to Luma, its intelligent virtual agent for automating IT and other service management functions.

Luma dramatically improves end-user and customer support satisfaction, enables easy-to-use, 24x7 self-service, and substantially reduces the cost of delivering high-quality service and support.

Serviceaide's AI-powered Luma Virtual Agent engages end users and analysts through a simple, conversational interface to understand and expedite service requests, accelerate resolution times, and automate service delivery.

The latest version of Luma delivers exciting new capabilities that make it even easier to configure, skills-train, measure, and automate workflows and services.

Among new features in Luma are:

- Advanced Workflow Automation—Luma now automates a comprehensive range of enterprise end user services and IT support functions. Automation can cover end user requests as diverse as resetting a password to pulling a pipeline report from Salesforce. Luma can now offload even more work from IT including IT Ops and DevOps tasks unifying these functions through a flexible Chat Ops model to automate an extensive set of activities such as remediation of a network issue through Zabbix, provisioning a new VM within AWS, to supporting a bug's remediation lifecycle through Jira.

- Improved Knowledge Democratization—Allows service and support teams to rapidly build Luma's knowledge base without coding by uploading FAQs and ingesting policy and procedure manuals and other support-related content which automatically trains Luma to answer questions and provide solutions in any service area.

- Automated User Synch—Managing user access in a large enterprise with thousands of users can be a challenge. Luma's new user synch capability connects to Active Directory, ServiceNow or other ITSM or user repositories keeping users and group membership and global user attributes up to date from the authoritative company repository.

- Integrated Customer Satisfaction Survey—Automatically asks customers to rate their level of satisfaction to ensure Luma is meeting user needs. The built-in survey mechanism achieves high user response rates enabling continuous and timely improvement of the user experience – and evolving user needs.

- Web Widget—Luma interacts with users using natural language processing across a wide range of popular communications channels, including Skype, Microsoft Teams, Skype, Google Hangouts, WhatsApp, and others. The new web chat widget gives companies the flexibility to integrate Luma into their existing web portals or apps and fully leverage Luma through any platform.

"Serviceaide continues to set the standard for intelligent virtual support and service automation," said Wai Wong, CEO and co-founder of Serviceaide. "Internal IT organizations, managed service providers, and a wide range of enterprise support functions are realizing exciting improvements in customer satisfaction, time-to-resolution, quality of service, and reduced support costs. The latest version of Luma brings valuable new innovations to our customers and end users to further advance the benefits of AI-powered service and support."

Luma's conversational interface guides users to create actionable requests and vastly improved self-service. Its automated services frequently deflect support tickets by providing immediate fulfillment or resolutions to users. It also relieves analysts from the burden of chasing down users for more information and handling repeatable mundane requests. Luma integrates seamlessly with leading service management systems, as well as with Serviceaide's full-featured IT service management suite, Intelligent Service Management. It is available as a pre-trained virtual agent for IT service and support and is also being used by customers around the world in a wide variety of other customer service and support scenarios.

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Serviceaide Adds New Capabilities to Luma

Serviceaide announced significant new capabilities to Luma, its intelligent virtual agent for automating IT and other service management functions.

Luma dramatically improves end-user and customer support satisfaction, enables easy-to-use, 24x7 self-service, and substantially reduces the cost of delivering high-quality service and support.

Serviceaide's AI-powered Luma Virtual Agent engages end users and analysts through a simple, conversational interface to understand and expedite service requests, accelerate resolution times, and automate service delivery.

The latest version of Luma delivers exciting new capabilities that make it even easier to configure, skills-train, measure, and automate workflows and services.

Among new features in Luma are:

- Advanced Workflow Automation—Luma now automates a comprehensive range of enterprise end user services and IT support functions. Automation can cover end user requests as diverse as resetting a password to pulling a pipeline report from Salesforce. Luma can now offload even more work from IT including IT Ops and DevOps tasks unifying these functions through a flexible Chat Ops model to automate an extensive set of activities such as remediation of a network issue through Zabbix, provisioning a new VM within AWS, to supporting a bug's remediation lifecycle through Jira.

- Improved Knowledge Democratization—Allows service and support teams to rapidly build Luma's knowledge base without coding by uploading FAQs and ingesting policy and procedure manuals and other support-related content which automatically trains Luma to answer questions and provide solutions in any service area.

- Automated User Synch—Managing user access in a large enterprise with thousands of users can be a challenge. Luma's new user synch capability connects to Active Directory, ServiceNow or other ITSM or user repositories keeping users and group membership and global user attributes up to date from the authoritative company repository.

- Integrated Customer Satisfaction Survey—Automatically asks customers to rate their level of satisfaction to ensure Luma is meeting user needs. The built-in survey mechanism achieves high user response rates enabling continuous and timely improvement of the user experience – and evolving user needs.

- Web Widget—Luma interacts with users using natural language processing across a wide range of popular communications channels, including Skype, Microsoft Teams, Skype, Google Hangouts, WhatsApp, and others. The new web chat widget gives companies the flexibility to integrate Luma into their existing web portals or apps and fully leverage Luma through any platform.

"Serviceaide continues to set the standard for intelligent virtual support and service automation," said Wai Wong, CEO and co-founder of Serviceaide. "Internal IT organizations, managed service providers, and a wide range of enterprise support functions are realizing exciting improvements in customer satisfaction, time-to-resolution, quality of service, and reduced support costs. The latest version of Luma brings valuable new innovations to our customers and end users to further advance the benefits of AI-powered service and support."

Luma's conversational interface guides users to create actionable requests and vastly improved self-service. Its automated services frequently deflect support tickets by providing immediate fulfillment or resolutions to users. It also relieves analysts from the burden of chasing down users for more information and handling repeatable mundane requests. Luma integrates seamlessly with leading service management systems, as well as with Serviceaide's full-featured IT service management suite, Intelligent Service Management. It is available as a pre-trained virtual agent for IT service and support and is also being used by customers around the world in a wide variety of other customer service and support scenarios.

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...