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Cherwell and L3O Team Up to Offer Digital Transformation Support

L3O Consulting, the Digital Transformation, Consultancy and Advisory Service, has partnered with Cherwell Software to support digital transformation initiatives.

The partnership will help chief information officers (CIO), project management offices (PMO), and business leaders of all kinds improve service management within their organizations, by establishing greater levels of automation, expanding the use of employee self-service, and leveraging AI to improve the customer and employee experience.

L3O Consulting was co-founded by Neil Sutch, Chief Operating Officer, and Dan Broomham, Chief Revenue Officer. Prior to forming L3O, the two co-founders were responsible for delivering one of the largest Cherwell implementations in the UK to date for a large global digital transformation company with 6,500 users. They are bringing this experience into L3O to help organizations embrace new technology, improve business efficiency, and enhance customer experience through effective digital transformation.

L3O Consulting differentiates itself by going beyond the norm to accelerate business growth and to work with its clients far beyond the initial implementation, through to operations and delivery. This long-term approach is reflected in its name which literally means “launch, expand, operate”:

L = Launch i.e. create the strategy, focus on the outcome, launch the project
3 = Expand i.e. scaling the strategy with the appropriate skills (internal and external) to ensure the initiative is a long-term success
O = Operation i.e. be there to make sure the momentum remains into delivery, ensuring ongoing success, innovation, and the desired business outcome

“Cherwell is exactly the kind of company we are proud to partner with. Its ESM platform provides an enterprise-wide solution that will greatly enhance the digital transformation experience of our clients and their customers,” said Neil Sutch, chief operating officer, L3O.

Sutch continues, “Digital transformation needs to happen for organisations faster than ever. At the same time IT is rapidly moving from being a business cost to a business enabler. L3O has the capability to drive that change, from strategy through to execution, by translating technology into business outcomes. L3O looks at the opportunity Cherwell brings to the marketplace with features such as workflow automation, the self-service virtual agent and low-code development. We are excited to help our customers take full advantage of Cherwell’s service management innovation to drive forward their digital transformation initiatives.”

“Our partnership with L3O will help our customers unlock services they never thought possible,” said Matthew Peeples, VP of Channel Partnerships, Cherwell.

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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 ...

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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 ...

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Cherwell and L3O Team Up to Offer Digital Transformation Support

L3O Consulting, the Digital Transformation, Consultancy and Advisory Service, has partnered with Cherwell Software to support digital transformation initiatives.

The partnership will help chief information officers (CIO), project management offices (PMO), and business leaders of all kinds improve service management within their organizations, by establishing greater levels of automation, expanding the use of employee self-service, and leveraging AI to improve the customer and employee experience.

L3O Consulting was co-founded by Neil Sutch, Chief Operating Officer, and Dan Broomham, Chief Revenue Officer. Prior to forming L3O, the two co-founders were responsible for delivering one of the largest Cherwell implementations in the UK to date for a large global digital transformation company with 6,500 users. They are bringing this experience into L3O to help organizations embrace new technology, improve business efficiency, and enhance customer experience through effective digital transformation.

L3O Consulting differentiates itself by going beyond the norm to accelerate business growth and to work with its clients far beyond the initial implementation, through to operations and delivery. This long-term approach is reflected in its name which literally means “launch, expand, operate”:

L = Launch i.e. create the strategy, focus on the outcome, launch the project
3 = Expand i.e. scaling the strategy with the appropriate skills (internal and external) to ensure the initiative is a long-term success
O = Operation i.e. be there to make sure the momentum remains into delivery, ensuring ongoing success, innovation, and the desired business outcome

“Cherwell is exactly the kind of company we are proud to partner with. Its ESM platform provides an enterprise-wide solution that will greatly enhance the digital transformation experience of our clients and their customers,” said Neil Sutch, chief operating officer, L3O.

Sutch continues, “Digital transformation needs to happen for organisations faster than ever. At the same time IT is rapidly moving from being a business cost to a business enabler. L3O has the capability to drive that change, from strategy through to execution, by translating technology into business outcomes. L3O looks at the opportunity Cherwell brings to the marketplace with features such as workflow automation, the self-service virtual agent and low-code development. We are excited to help our customers take full advantage of Cherwell’s service management innovation to drive forward their digital transformation initiatives.”

“Our partnership with L3O will help our customers unlock services they never thought possible,” said Matthew Peeples, VP of Channel Partnerships, Cherwell.

The Latest

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 ...