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Hornbill Introduces Collaborative Service Management Application

Hornbill launched Service Manager, its flagship collaborative service management application, together with the Hornbill collaboration platform.

Service Manager is designed to allow organizations of any size to modernize and invigorate their IT service management operation by introducing collaboration tools built around the way people actually work. Hornbill Service Manager has been designed for collaboration; using principles made familiar by consumer social media tools to ensure workers can easily and naturally share information and follow best practices. It is built for ease of implementation, customization and use, and a flexible cost model that allows organizations to pick exactly what they need when they need it.

Service Manager is available today in Hornbill’s App Store. Key features include:

- Automated Management: Service Manager is designed to make dealing with ITIL-aligned incidents, problems, change, service requests and assets as streamlined as possible. An intuitive call logging process allows service desks to identify and track customers throughout the lifecycle procedure, whilst Progressive Capture functionality improves the ease of data capture, making life much easier for analysts. A powerful but easy to configure graphical workflow engine drives processes forward, visualised for analysts in a clear “where am I?” innovative heads up display.

- Information at a glance: Service Manager provides service all the information needed to help customers and deliver first-class customer service. The Service Desk Dashboard allows incidents and requests to be viewed at a glance; all incidents and requests assigned to an analyst or analyst group can be viewed with My Requests; and updates to active calls are aggregated on the Analyst’s News Feed.

- Self-Service: Service Manager’s self-service capabilities allow users to both get updates and find solutions either directly or through interaction with peers. Users can see and add their own assets; identify and join workspaces to discuss issues; and help direct their peers towards useful solutions.

- Language and Culture: Service Manager is multi-language, supporting not only a multiple language user interface but also real-time content translations, allowing users to exchange ideas and information whether in multiple languages or their native tongue.

- Mobile: Hornbill’s native mobile app enables Service Manager users to access the application from any device, at any time and from anywhere.

- Easy-to-use customisation: Service Manager can be customised to suit an organisation’s exact business processes, using a simple graphical interface to make changes to process, form design and progressive input capture. Every customisation or change made is guaranteed to be retained after platform or application upgrades.

- Always-up-to-date: Upgrades are delivered continuously, thanks to the agile development methodology we employ called Continuous Delivery designed to ensure a continuous flow of feature enhancements are delivered to our customers. As a result Hornbill is always up-to-date and always being enhanced and improved.

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 ...

Hornbill Introduces Collaborative Service Management Application

Hornbill launched Service Manager, its flagship collaborative service management application, together with the Hornbill collaboration platform.

Service Manager is designed to allow organizations of any size to modernize and invigorate their IT service management operation by introducing collaboration tools built around the way people actually work. Hornbill Service Manager has been designed for collaboration; using principles made familiar by consumer social media tools to ensure workers can easily and naturally share information and follow best practices. It is built for ease of implementation, customization and use, and a flexible cost model that allows organizations to pick exactly what they need when they need it.

Service Manager is available today in Hornbill’s App Store. Key features include:

- Automated Management: Service Manager is designed to make dealing with ITIL-aligned incidents, problems, change, service requests and assets as streamlined as possible. An intuitive call logging process allows service desks to identify and track customers throughout the lifecycle procedure, whilst Progressive Capture functionality improves the ease of data capture, making life much easier for analysts. A powerful but easy to configure graphical workflow engine drives processes forward, visualised for analysts in a clear “where am I?” innovative heads up display.

- Information at a glance: Service Manager provides service all the information needed to help customers and deliver first-class customer service. The Service Desk Dashboard allows incidents and requests to be viewed at a glance; all incidents and requests assigned to an analyst or analyst group can be viewed with My Requests; and updates to active calls are aggregated on the Analyst’s News Feed.

- Self-Service: Service Manager’s self-service capabilities allow users to both get updates and find solutions either directly or through interaction with peers. Users can see and add their own assets; identify and join workspaces to discuss issues; and help direct their peers towards useful solutions.

- Language and Culture: Service Manager is multi-language, supporting not only a multiple language user interface but also real-time content translations, allowing users to exchange ideas and information whether in multiple languages or their native tongue.

- Mobile: Hornbill’s native mobile app enables Service Manager users to access the application from any device, at any time and from anywhere.

- Easy-to-use customisation: Service Manager can be customised to suit an organisation’s exact business processes, using a simple graphical interface to make changes to process, form design and progressive input capture. Every customisation or change made is guaranteed to be retained after platform or application upgrades.

- Always-up-to-date: Upgrades are delivered continuously, thanks to the agile development methodology we employ called Continuous Delivery designed to ensure a continuous flow of feature enhancements are delivered to our customers. As a result Hornbill is always up-to-date and always being enhanced and improved.

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 ...