AI provides technology driven value added Enterprise Asset Management (EAM) professional services with unswerving commitment to our Customers by adopting innovative and high technology in cost-effective Asset Management Services with a commitment to assist customer’s world over to get the best out of the existing and newly installed Industrial Assets.

AI has extensive experience in industrial plant operation & maintenance. We have developed various specialized asset data & maintenance management methodology & procedures with extensive consulting experience and a vast reference library of data & case studies.

AI has a well-established IT Division to provide cost effective EAM implementation services, specialized IT Tools for spare parts management, maintenance management, technical integrity monitoring, and asset information management. AI IT tools can seamlessly integrate with various EAM / CMMS solutions. The IT products are SAP R/3 certified and can be deployed as an ex-Sap application.

AI employs 250+ full time multinational consultant/specialists and has agreements with 100+ freelance consultants / specialists for deployment on a need basis.

AI has an in-depth technical knowledge and expertise to prepare maintenance strategy; data; methodology; procedures; for plant maintenance (PM) management requirements and to implement any Computerized Maintenance Management (CMMS) System. AI takes up projects and works along with Operating Companies, EPC’s, EMC’s, LSTK contractors, etc. and can support any size of project. AI has developed asset maintenance and spares data for various clients in-line with industrial best practices, local regulatory compliance requirements and company policies for many green fields, brown field, and other maintenance improvement projects to achieve operational excellence. AI endeavours to be one-stop service provider and can be an integral part of client’s implementation team for all Asset Maintenance & Integrity Management requirements.

Asset Data Management Services include: 

Asset Register and Maintenance data is the mandatory requirement to take-up maintenance activities for all the assets of an industry for its smooth operations.

AI has a comprehensive approach to build maintenance data by capturing assets and their maintenance data from different sources, i.e. by reading P&IDs, Equipment data sheets, Equipment specifications, its location details & hierarchy as per the process flow, building BOMs by linking spares & sub-assemblies for any new PLANT / PACKAGE / EQUIPMENT additions, along with its planning data for smooth operations and maintenance requirements.

As-built Asset Verification

AI has specialists with experience of developing As-built through field physical verification. The data will be verified at field and will be provided to reflect the As-built status in the CMMS system and As-built drawing updates.

Asset Gap Study & Reporting

Asset Gap Analysis is the most effective method to implement asset performance improvement program where the plant operations management recognizes the need for an improvement in operations and maintenance when the priorities and opportunities are unclear.

Most industries will benefit by asset gap analysis, but the benefits will be highest where the cost of maintenance and the cost of failure is a high proportion of total operating cost.

In order to improve the availability and reliability of assets and thereby improve maintenance effectiveness to achieve maximum return on Investment, an asset gap analysis program can be carried out by conducting an interactive workshop(s) by a team of skilled and qualified reliability and maintenance engineers from AI and client’s operations and maintenance team.

Asset Gap Analysis will give a clear road-map for setting action priorities to close the gap between existing practice and the best industry practice for effective asset management. It helps to identify opportunities for continuous improvement through PMO and RCM and or other practices for cost and reliability improvements.

Asset Data Cleansing & Restructuring

The Asset maintenance data which is existing in various sources will be verified and cleansed and enriched data will be uploaded to the client CMMS system. Appropriate maintenance data will be prepared reflecting the restructured asset hierarchy with functional location/tag and maintenance tasks with planning data & work orders.