Mesh-AI has been working side by side with major energy transmission and distribution companies in the UK to develop risk-based AI models that can efficiently and proactively manage the risks posed by trees and vegetation across their physical assets to ensure quality and availability of service.

We are experts in developing concepts and solutions from key business challenges faced by some of the world’s most highly regulated enterprises. As part of this product innovation cycle, we have developed a number of accelerators to address the key problem of tree and vegetation management that can help industries including energy, transportation and telecommunications providers lower both their operational risks and opex. Using AI-powered risk management and predictive modelling, these organisations can now move from policy-based maintenance schedules to risk-based systems where the overall risk is lowered for the operators of these assets and services.

Problem Summary

We identified five key problem themes representative across multiple industries that our solution addresses:

• Poor data quality and accessibility
• Reporting both internally and with externally regulatory bodies
• Pressures on opex budget and efficient use of budgets
• Dependency on manual, resource intensive ways of working
• Policy based management rather than risk based

Solution Summary

Our approach to these key challenges is the development of five key modules that manage the end-to-end process for tree and vegetation management for a variety of users:

Field Manager

• Capture up-to-date images
• Capture contextual data
• Ability to work offline

Customer Portal

• Report incidents or risks
• Image upload and contextual data
• Case management and feedback loops

Asset Manager

• Quality asset data by NRN
• Linked to asset risks
• Ingesting up-to-date data
• Wayleave & consent records

Prune Cycle & Hazard Manager

• Risk identified and prioritised
• Contractor and work order management

BI Manager

• Monetised risk dashboard
• Budget & performance management
• Regulatory reports

Underpinning these modules are the internal data platform services for onboarding your data in its raw format, processing of that data into key strategic data products for both machine learning model training and underpinning the data insights provided through the five core module pillars.

Our Approach

At Mesh-AI, we will perform a relatively short discovery and solution concept incubator (typically 4-6 weeks) to understand how our core modules can be integrated into your ways of working and tailored where required to address key environment and data challenges you may have.

We work side by side with your key business and technology teams to ensure the solution is tailored to your specific needs and aligned with your business challenges. We integrate the solution into your ways of working to ensure the insights are actionable by the teams managing your physical assets. This ensures the overall solution is viable for your business, is usable by your asset management teams and is feasible as an ongoing critical technology capability within your business.

We typically expect the initial production release of the solution to be introduced as a service within 3-4 months of working with your teams with further feature extension thereafter based on further business and user needs. We offer a full build, run and operate service or help with introducing the solution into your standard technology and service management functions for ongoing support and maintenance.

Key Outcomes

As a customer of this solution, you will move towards a risk-based approach to tree and vegetation management and have the ability to better allocate operational budgets and reduce overall business risk associated with your physical assets.

The solution also provides a mechanism to monitor and manage the accuracy of your operational and analytical data ensuring key business risks and decisions are data driven, paving the way for sustained success.

Our customers of this solution are also provided a central management solution for third party suppliers and contractors to manage work orders and fulfilment of such tasks that are typically challenging with existing enterprise resource planning systems and services.