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  • Your Partner in Future Ready Smart Asset Management

Maximo Overview

Do you want to get more out of your assets to improve productivity and reduce maintenance costs?


Upgrading to the IBM Maximo Application Suite, with its future-ready infrastructure and AI/ML-infused applications, is the solution you need. Leverage all the asset data collected over the years to transition to Asset Performance Management (APM) and Reliability-Centered Maintenance (RCM). This transformation is further strengthened by LTIMindtree’s asset-focused iNXT practice unit, which interprets and analyzes data for optimized asset maintenance processes.

  • Built on a scalable infrastructure,  the IBM Maximo Application Suite adapts to future technological advancements, ensuring your enterprise asset management system stays relevant and effective over time.
  • With AI and machine learning capabilities, the suite provides predictive maintenance insights that help anticipate potential issues, enhancing asset reliability and performance.
  • Utilize your accumulated asset data to identify patterns and trends, leading to informed decision-making and optimized maintenance strategies.
  • Upgrading to the IBM Maximo Application Suite streamlines your smart asset management, making operations more efficient and reducing downtime and maintenance costs.
  • Transitioning to APM and RCM enables a proactive approach, focusing on asset performance and reliability rather than simply reacting to issues.
  • LTIMindtree’s iNXT unit brings expertise in enterprise asset management solutions, delivering tailored strategies to maximize the IBM Maximo Application Suite’s benefits through continuous improvement of maintenance processes.

Overview

Our Offerings

 
Implementation - Leverage a comprehensive, proven methodology to reduce implementation timelines.

Implementation - Leverage a comprehensive, proven methodology to reduce implementation timelines.

Our IBM Maximo-certified specialists collaborate with clients to develop tailored implementation plans, incorporating best practices in smart asset management and standardized project management principles to keep every step within scope, budget, and time. Our 4D Methodology® serves as a structured, reliable roadmap, ensuring a methodical approach unique to each client.

Our implementations cover all project lifecycle stages, including:

  • Project management and governance
  • Requirements gathering
  • Infrastructure sizing
  • Installation and co​nfiguration
  • RICEFW (Reports, Interfaces, Conversions, Enhancements, Forms, Workflows) development
  • Change management
  • Data migration
  • Testing approach
  • Training strategies

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Upgrade - Seamlessly transition to the latest version of Maximo using our Maxelerate framework.

Upgrade - Seamlessly transition to the latest version of Maximo using our Maxelerate framework.

We provide Maximo upgrade solutions to move existing Maximo version to the latest supported version by IBM. We have successfully upgraded client Maximo applications to V 7.6.X and to MAS. We have also developed Maxelerate framework to help accelerate the upgrades based on our experience and leveraging some tools and methods useful for the upgrade, including:

  • Upgrades from Maximo 7.6.x to MAS
  • Support for RedHat OpenShift Container Platform
  • Database migration to IBM DB2 for SaaS solutions
  • Java class files conversion to automation scripting
  • Integration re-wiring
  • Report retrofitting
  • Testing & training
  • APM strategies
  • Archival solutions

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Application Maintenance and Support - Empower your business processes with tailored support and maintenance services.

Application Maintenance and Support - Empower your business processes with tailored support and maintenance services.

LTIMindtree’s global delivery model leverages our process maturity for efficient knowledge transition, problem management, enhancement request management and service level management, thus delivering significant operating cost benefits to clients. This model includes our AIOps solutions, designed to enhance AMS efficiency while lowering costs.

The objective of LTIMindtree’s AMS offering is to provide the client’s organization with:

  • High availability and service continuity Process optimization and improvement
  • Reduced Total Cost of Ownership (TCO)
  • Delivery excellence
  • Observability tools

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Consulting – Stay informed on the latest industry best practices around Maximo implementation and gain the best out of your investment.

Consulting – Stay informed on the latest industry best practices around Maximo implementation and gain the best out of your investment.

Our experienced Maximo consultants provide guidance on architecture, data setup, asset hierarchies, performance measures, and more. We work closely with IBM’s technical teams to bring the latest insights to clients, helping them make informed decisions that align with their goals.

Consulting services include:

  • Infrastructure sizing
  • License conversion to AppPoints
  • Upgrade option comparisons
  • High-level cost estimates
  • Technology tools and options
  • Workshops and Proof of Concepts (POCs)
  • Maximo mobile strategies

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Cloud Migration – Migrate your Maximo application to any hyperscaler like AWS, Azure, or IBM with support from LTIMindtree’s dedicated Center of Excellence (COE).

Cloud Migration – Migrate your Maximo application to any hyperscaler like AWS, Azure, or IBM with support from LTIMindtree’s dedicated Center of Excellence (COE).

LTIMindtree partners with all major hyperscalers, consulting their architects to identify the best options for reliability, scalability, operations, and costs. Our cloud migration offerings include:

  • POCs or workshops with respective hyperscalers for new solutions
  • Connections with hyperscaler architects or leads for guidance
  • Strategies for adopting cloud or hyperscaler architecture
  • Industry best practices

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Gen AI Solutions – Design and deploy Gen AI solutions to streamline maintenance tasks.

Gen AI Solutions – Design and deploy Gen AI solutions to streamline maintenance tasks.

Integrating Gen AI with EAM solutions enables maintenance staff to perform tasks faster and with higher accuracy, improving workforce productivity.

Some solution examples include:

  • Intelligent corrective work order generation
  • Inventory forecasting based on actual consumption
  • Work permits processing

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Maximo Application Suite Selector

We recognize that the IBM Maximo Application Suite offers multiple deployment options, each suited to different organizational needs.  
 LTIMindtree’s MAS Selector tool helps clients compare the available solution as per their needs and details. 

The tool takes into account:

  • Technology roadmap for organizations – Cloud, SaaS, On-Prem
  • Database details 
  • Data criticality
  • Level of customization
  • Integrations in use and planned for future
  • Availability of technology support 
  • Level of control expected
  • Roadmap for asset maintenance business processes

Based on the shared details, different options are presented with a ranking for the client’s technical team to be able to analyze and decide on the solution. 


Maximo Application Suite Selector

Why Choose iNXT Maximo?

We are dedicated to delivering successful IBM Maximo engagements due to:

Domain expertise

  •  Utilize domain experts from asset-intensive delivery units for Oil & Gas, Utilities, Manufacturing, and more.
  • Business process understanding resulting in accurate solutions
  • Aligning with client business objectives

iNXT PU

  • Our Maximo practice is a part of the iNXT Practice Unit, dedicated to asset-related solutions
  • The iNXT practice has expertise across the entire enterprise asset management value chain and brings to the table expertise from their global IIoT solutions and Industry 4.0 initiatives

Partnerships

  •  As an IBM Platinum partner, LTIMindtree has access to special privileges, including: 
    • Access to the GSI Labs team for technical assistance
    • IBM documentation repository
    • Product team connections for clarifications

Resources

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