Skip to main content

3 Lessons Learned While Transitioning to a Full-Service MSP

Today’s businesses have increasingly complex IT infrastructures, and don’t often have the capability to internally monitor IT systems, website availability, performance and security. In this instance, they turn to MSPs to provide hosted and remote IT support services.

Yet not all MSPs are created equal. Without the proper technologies and processes in place, MSPs risk acting as helpdesks – putting out IT fires so to speak, rather than preventing them in the first place.

In light of this challenge, MSPs have an opportunity to develop more advanced services by integrating on-premise, data center and Cloud management tools and platforms. This advancement should be focused on delivering a real-time single pane of glass view across customers’ networks, applications and services, ultimately opening the door to a more strategic, proactive mindset. By honing in on more advanced monitoring and management of customers’ onsite and Cloud-based IT infrastructures, MSPs can move beyond the help-desk mentality into a mode of prevention rather than cure.

As the technology services director of JMC IT, an MSP providing support services to hundreds of small to medium-sized businesses in the north of England, I have first hand experience transforming our company from typically reactive to a proactive, full-service MSP.

We tapped the ScienceLogic Platform as the foundation for our new Active System Monitoring (ASM) service that enables JMC IT to monitor the security, performance and availability of our customers’ onsite and Cloud-based IT infrastructures. As a result of launching ASM as part of our wider SupportCare Active managed services portfolio, we are able to offer more advanced services to customers, improve customer loyalty, increase revenue and attract new business.

Here are three lessons I learned throughout the implementation process that can help IT support organizations as they make the transition to a full-service MSP:

Lesson 1: Make Services Sticky

With the proper strategy and monitoring tools, MSPs are in a prime position to make the services they provide to customers ‘stickier’. By offering current and prospective customers more advanced management and monitoring services, MSPs are introducing tools that help customers adapt and evolve with their respective industries – a competitive advantage that is invaluable.

Lesson 2: Be Proactive, Not Reactive

Numerous MSPs fall into the habit of operating in a reactive mindset. This means that MSPs are uncovering problems after they happen, which often results in a lengthy ‘find and fix’ process. Instead, MSPs should embrace a proactive stance, working towards the ability to stop problems before they happen. Ultimately, this proactivity allows MSPs to offer more advanced services to customers, improve customer loyalty and increase revenue.

Lesson 3: Cultivate a Customer-First Culture

More than anything, the customer should always come first. MSPs must embrace a customer-centric culture to ensure that every business function of the organization is tailored toward anticipating customer needs and challenges before they rise to the surface. This cultural shift is the defining difference between an IT support provider that is simply a helpdesk, and one that is the foundation of its customers’ businesses.

Customers rightly expect their IT to be available and performing at its best. True value lies in the MSP’s ability to provide this performance and peace of mind at all times. Those that can meet these expectations can truly define themselves as full service MSPs.

ABOUT Nick Isherwood

Nick Isherwood is JMC’s Technology Services Director. He is responsible for a team of 30 IT professionals focused on the design, implementation and national support of technology solutions for over 400 UK businesses across a variety of sectors. As a keen triathlete outside of work, he is naturally competitive and fanatical about leading the way in service excellence along with value that can be measured.

Related Links:

http://www.jmc.co.uk

www.sciencelogic.com

ScienceLogic Enables JMC IT To Become Proactive, Full-Service Managed Service Provider

Hot Topics

The Latest

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 ...

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.

3 Lessons Learned While Transitioning to a Full-Service MSP

Today’s businesses have increasingly complex IT infrastructures, and don’t often have the capability to internally monitor IT systems, website availability, performance and security. In this instance, they turn to MSPs to provide hosted and remote IT support services.

Yet not all MSPs are created equal. Without the proper technologies and processes in place, MSPs risk acting as helpdesks – putting out IT fires so to speak, rather than preventing them in the first place.

In light of this challenge, MSPs have an opportunity to develop more advanced services by integrating on-premise, data center and Cloud management tools and platforms. This advancement should be focused on delivering a real-time single pane of glass view across customers’ networks, applications and services, ultimately opening the door to a more strategic, proactive mindset. By honing in on more advanced monitoring and management of customers’ onsite and Cloud-based IT infrastructures, MSPs can move beyond the help-desk mentality into a mode of prevention rather than cure.

As the technology services director of JMC IT, an MSP providing support services to hundreds of small to medium-sized businesses in the north of England, I have first hand experience transforming our company from typically reactive to a proactive, full-service MSP.

We tapped the ScienceLogic Platform as the foundation for our new Active System Monitoring (ASM) service that enables JMC IT to monitor the security, performance and availability of our customers’ onsite and Cloud-based IT infrastructures. As a result of launching ASM as part of our wider SupportCare Active managed services portfolio, we are able to offer more advanced services to customers, improve customer loyalty, increase revenue and attract new business.

Here are three lessons I learned throughout the implementation process that can help IT support organizations as they make the transition to a full-service MSP:

Lesson 1: Make Services Sticky

With the proper strategy and monitoring tools, MSPs are in a prime position to make the services they provide to customers ‘stickier’. By offering current and prospective customers more advanced management and monitoring services, MSPs are introducing tools that help customers adapt and evolve with their respective industries – a competitive advantage that is invaluable.

Lesson 2: Be Proactive, Not Reactive

Numerous MSPs fall into the habit of operating in a reactive mindset. This means that MSPs are uncovering problems after they happen, which often results in a lengthy ‘find and fix’ process. Instead, MSPs should embrace a proactive stance, working towards the ability to stop problems before they happen. Ultimately, this proactivity allows MSPs to offer more advanced services to customers, improve customer loyalty and increase revenue.

Lesson 3: Cultivate a Customer-First Culture

More than anything, the customer should always come first. MSPs must embrace a customer-centric culture to ensure that every business function of the organization is tailored toward anticipating customer needs and challenges before they rise to the surface. This cultural shift is the defining difference between an IT support provider that is simply a helpdesk, and one that is the foundation of its customers’ businesses.

Customers rightly expect their IT to be available and performing at its best. True value lies in the MSP’s ability to provide this performance and peace of mind at all times. Those that can meet these expectations can truly define themselves as full service MSPs.

ABOUT Nick Isherwood

Nick Isherwood is JMC’s Technology Services Director. He is responsible for a team of 30 IT professionals focused on the design, implementation and national support of technology solutions for over 400 UK businesses across a variety of sectors. As a keen triathlete outside of work, he is naturally competitive and fanatical about leading the way in service excellence along with value that can be measured.

Related Links:

http://www.jmc.co.uk

www.sciencelogic.com

ScienceLogic Enables JMC IT To Become Proactive, Full-Service Managed Service Provider

Hot Topics

The Latest

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 ...

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.