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AI Solutions for Asset and Maintenance Master Data Management
A suite of AI-powered tools that dramatically reduce the cost and effort of building, capturing, and maintaining high-quality EAM and CMMS master data from walkdowns to work instructions.
A game changer for asset and maintenance master data management
We have a suite of AI out-of-the-box, powered solutions that can help you manage your asset and maintenance master data more efficiently and cost-effectively. One of the biggest challenges in asset management is the expense of creating and sustaining a high-quality assets data foundation. Without a solid foundation, organizations don't get the full benefit of their investments in their EAM/CMMS and other asset management solutions. It also makes it impossible to implement APM, condition-based monitoring, digital twins, capital planning and other asset management initiatives effectively. AI powered solutions are a game changer for asset and maintenance master data management, dramatically improving the ROI for asset intensive organizations.
A traditional utilization of AI Powered Solutions allows us to reduce the cost of building and sourcing assets data by 90%.
Here are some of the ways our customers use our AI powered solutions
- To make sure all maintainable assets are correctly set up in their asset management systems including EAM/CMMS
- To capture asset information efficiently in the field during walkdowns
- To extract asset information from vendor documentation, P&IDs and other drawings
- To classify equipment correctly
- To recommend failure codes
- To extract spare parts information from purchase orders, invoices, vendor documentation, OEM forms and other sources and recommend BOM for equipment
- To standardize descriptions
- To extract task lists and work instructions from vendor documentation and other information sources
- To structure work order information for effective reliability analysis
Capture asset information efficiently during walkdowns
Users can walk down plants and storeroom assets quickly, taking pictures of nameplates, tags and parts information. AI finds and extracts the relevant information from the pictures. An intuitive eForm kit is provided for reviewing and approving the information before it is automatically standardized and formatted to user-specific standards for upload into your EAM/CMMS and other asset management systems.
Classification of equipment
Correctly classifying equipment is essential to running an effective asset reliability program. It is also necessary to implement reliability-centered maintenance (RCM) and failure modes and effects analysis (FMEA) to deliver good results. AI can suggest equipment classification based on equipment description, nameplate information, vendor documentation, and other sources of information. An intuitive eForm kit is provided for reviewing and approving this information before it is automatically standardized and formatted to user-specific standards for upload into your EAM/CMMS and other asset management systems.
Configuring and recommending failure codes
For each equipment classification, your EAM/CMMS and other asset management systems should be configured to have a reasonable number of failure codes associated with each equipment type. This is a best practice to ensure usable reliability information is captured by maintenance workers when completing work orders. AI recommends appropriate failure code list for all of your equipment types for approval before it’s used to configure your EAM/CMMS solution. This is tailored easily to individual company standards.
AI agents also recommend failure codes to workers completing work orders, and structures all of the work order completion increases for efficient reliability analysis.
Extracting information from P&IDs and other drawings
Engineers frequently need to extract information from P&IDs and other drawings for a number of purposes:
- Building asset registers and confirming maintainable items
- Risk-based analysis of pipelines and vessels
- Estimating replacement values
- Building Digital Twins
Doing this work manually can be time-consuming, expensive and error-prone. AI does most of the heavy lifting to save users time and reduce error rates. An intuitive eForm kit is provided to quality QA the results and to do fine tuning. The results are automatically standardized and formatted for loading into other solutions including EAM/CMMS solutions, reliability analysis solutions or construction estimating software.
Preparing task lists and work instructions
The amount of effort required to create good task lists and work instructions for EAM/CMMS systems was often prohibitive for asset-intensive organizations with thousands of assets. Organizations tried to simplify the process by using simple standards that could be applied against entire groups of equipment. But often the results were too simple to be useful to planners and maintenance workers or resulted in lots of unnecessary or low-value preventive work orders.
Our AI solution extracts detailed useful information of activity from vendor documentation and other information sources. An intuitive eForm kit allows users to review the results and make corrections and do fine tuning. The information is automatically standardized and formatted for loading into EAM/CMMS and other asset management systems.
See AI-powered asset data in action
Get a free AI and walkdowns demonstration with your own data.