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
While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...
For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...
As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...
The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...
The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...
Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...
Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...
Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...
In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ...
Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...