Skip to main content

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

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

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

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...