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Hornbill Launches Supportworks ITSM Enterprise v.3.2

New Twitter Integration and Smartphone-Based Support

Hornbill Service Management launched Supportworks ITSM Enterprise v.3.2, a new solution that integrates both Twitter and smartphone-based support with the service desk.

IT departments can now improve service delivery by proactively identifying and responding to service issues that often fail to surface in traditional communication channels. Supportworks ITSM Enterprise v.3.2 combines these new capabilities with a range of ITIL-compatible enhancements that continue to support the IT Service Management journey, from help desk to ITSM maturity.

“Having the ability to proactively address support issues is an ongoing challenge for IT. This is particularly important during a time when there are an increasing number of savvy users such as ‘digital natives’ and Generation Y in the workplace. Customer demand, especially from service desks providing IT support to this audience, led us to look at the opportunities to develop social functionality into our service management solution, Supportworks,” said Patrick Bolger, Chief Evangelist at Hornbill.

“Our first priority has been to enable IT support teams to incorporate a social monitoring capability into their support offering. We are increasingly seeing examples where users air their frustrations via social media channels long before contacting the service desk. In these instances IT is the last to know, which not only lets issues fester but can damage the reputation of support teams. With Supportworks v3.2, service desks can discover, react and resolve requests via Twitter and create an auditable record of these interactions in the Supportworks database.”

Supportworks ITSM Enterprise v.3.2 takes a major step toward the proactive service desk through the integration of Twitter. More specifically, this innovative new feature gives service desk staff the ability to:

* Search Tweets: Searches for specific hashtags, words or phrases can be saved and scheduled to run automatically, with real-time results displayed and options available to reply to the tweet.

* Monitor mentions and issue updates: Track what customer followers are ‘tweeting’ and enable immediate access to these followers and the ability to broadcast service updates

* Resolve customer records from Twitter ID: Match tweets received from customers with records in the Supportworks database to create an auditable record of interactions and ensure greater consistency across all support channels.

* Raise a Tweet as an Incident: Reply to a tweet from within Supportworks or raise an Incident, Service Request directly from the tweet. In turn, a new call form is opened, the customer details are resolved and relevant information is copied from the tweet.

* Manage multiple Twitter accounts: Use Open Authentication (OAuth) to integrate several Twitter accounts with the Service Desk, enabling support staff to tweet and reply from accounts they are approved to use.

Supportworks ITSM Enterprise v.3.2 also includes an updated Mobile Web Client with a more intuitive interface. In just a few clicks, support staff on the move can log, update and resolve requests, as well as authorise and update tasks without having to enter large amounts of text. This mobile functionality can be utilised on a variety of popular smartphones including Blackberry, iPhone and Android devices.

Additional enhancements to Supportworks ITSM Enterprise v.3.2 include updates to business process features in areas such as user authorisation and task setting, as well as new Configuration Management Database (CMDB) settings.

The Latest

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 ...

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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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Hornbill Launches Supportworks ITSM Enterprise v.3.2

New Twitter Integration and Smartphone-Based Support

Hornbill Service Management launched Supportworks ITSM Enterprise v.3.2, a new solution that integrates both Twitter and smartphone-based support with the service desk.

IT departments can now improve service delivery by proactively identifying and responding to service issues that often fail to surface in traditional communication channels. Supportworks ITSM Enterprise v.3.2 combines these new capabilities with a range of ITIL-compatible enhancements that continue to support the IT Service Management journey, from help desk to ITSM maturity.

“Having the ability to proactively address support issues is an ongoing challenge for IT. This is particularly important during a time when there are an increasing number of savvy users such as ‘digital natives’ and Generation Y in the workplace. Customer demand, especially from service desks providing IT support to this audience, led us to look at the opportunities to develop social functionality into our service management solution, Supportworks,” said Patrick Bolger, Chief Evangelist at Hornbill.

“Our first priority has been to enable IT support teams to incorporate a social monitoring capability into their support offering. We are increasingly seeing examples where users air their frustrations via social media channels long before contacting the service desk. In these instances IT is the last to know, which not only lets issues fester but can damage the reputation of support teams. With Supportworks v3.2, service desks can discover, react and resolve requests via Twitter and create an auditable record of these interactions in the Supportworks database.”

Supportworks ITSM Enterprise v.3.2 takes a major step toward the proactive service desk through the integration of Twitter. More specifically, this innovative new feature gives service desk staff the ability to:

* Search Tweets: Searches for specific hashtags, words or phrases can be saved and scheduled to run automatically, with real-time results displayed and options available to reply to the tweet.

* Monitor mentions and issue updates: Track what customer followers are ‘tweeting’ and enable immediate access to these followers and the ability to broadcast service updates

* Resolve customer records from Twitter ID: Match tweets received from customers with records in the Supportworks database to create an auditable record of interactions and ensure greater consistency across all support channels.

* Raise a Tweet as an Incident: Reply to a tweet from within Supportworks or raise an Incident, Service Request directly from the tweet. In turn, a new call form is opened, the customer details are resolved and relevant information is copied from the tweet.

* Manage multiple Twitter accounts: Use Open Authentication (OAuth) to integrate several Twitter accounts with the Service Desk, enabling support staff to tweet and reply from accounts they are approved to use.

Supportworks ITSM Enterprise v.3.2 also includes an updated Mobile Web Client with a more intuitive interface. In just a few clicks, support staff on the move can log, update and resolve requests, as well as authorise and update tasks without having to enter large amounts of text. This mobile functionality can be utilised on a variety of popular smartphones including Blackberry, iPhone and Android devices.

Additional enhancements to Supportworks ITSM Enterprise v.3.2 include updates to business process features in areas such as user authorisation and task setting, as well as new Configuration Management Database (CMDB) settings.

The Latest

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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...