MSM - 2026 Pricing, Features, Reviews & Alternatives

Service management reporting typically references achievements retrospectively, which management then interpret before prioritising and initiating reactive

improvement activities dependent upon risk, cost and availability of resources.

What IT management are really looking for though is predictability. After all, service management

best practice routinely encourages proactivity over reactivity wherever possible. What we really need is advanced warning of whether our ability to deliver service to our customers is under threat, and if so where does that threat come from, and what can be done to mitigate and remove that threat. Indeed, wherever possible why not allow our well-trained AI capability to implement improvements automatically without human intervention? Removing the underlying cause of incidents before they ever happen has got to be a hugely appealing prospect.

Predict the future with Artificial Intelligence

Using powerful AI algorithms based on data collated from numerous sources, Marval delivers informative, reactive, predictive and preventative information enabling you to:

- Avoid unplanned down time

- Offer enhanced service predictability

- Make more effective use of knowledge and resources

- Focus on business benefits

- Adopt an intuitive approach with Machine Learning

With Marval we also use AI in Problem Management. AI in Problem Management could carry out the incident matching activities previously carried out manually. Using algorithms based on pre-defined pain and impact criteria, it could prioritise the underlying problems and even take that a step further by interrogating vendor websites to automatically identify potential fixes. It could even raise changes and implement the patch if the associated level of risk was deemed acceptable.

Service Level Management is another process where we integrate AI. Algorithms based upon service level targets, and the various factors that determine whether

they are likely to be achieved (such as capacity, changes, planned staffing levels, budgets etc) could together flag up situations, ahead of time, when service availability might come under threat. Such an “early warning system” would provide time and awareness, allowing for mitigation activities to be conducted proactively, ensuring that robust and cost effective, long-lasting resolutions can be put in place instead of the reactive, sticking plaster solutions that might otherwise have been the only viable option.

Machine Learning enables organizations to work smarter.

Marval includes powerful Machine Learning technology that automates key processes and routine tasks, which effectively reduces the quantity of labour-intensive, monotonous tasks for employees and the subsequent risk of human error.

Powered by natural language processing, it can also resolve issues faster and ultimately improve customer satisfaction and boost employee productivity.

The simple conclusion is that Artificial Intelligence and Service Management are made for each other.

Combine Marval's complete ITSM solution with intelligence built during the last 30+ years and combine this with the latest technologies. Move from a reactive to a proactive approach whenever possible.