Upgrading to Maximo Application Suite (MAS) 9.x can be an uphill battle for IT teams juggling years of custom code. Maxis Technology is addressing that pain point with a new AI-powered customization analysis service built on Alchemize Catalyst Suite (ACS). The offering is designed to speed planning, cut risk, and give clear guidance on how to handle each customization during a move to IBM MAS 9.x.
Complex upgrades have one common problem. Customizations that evolved over time create uncertainty about cost, compatibility, and effort. Manual reviews are slow, expensive, and can still miss critical dependencies. Maxis combines machine learning with customer-specific context packets to automate the initial analysis of custom class files. The result is a ranked, data-driven view of customization complexity that helps teams prioritize work and set realistic timelines.
How it works
Customers upload custom class files through a secure portal. ACS performs automated analysis enriched by Alchemize context packets tailored to the client environment. The service produces a complexity score for each customization along with a recommended modernization path. Recommendations fall into practical categories such as adopt out-of-the-box MAS functionality, convert to automation scripts, or retain and refactor the custom code. Importantly, the output is reviewed by Maxis experts to validate the AI suggestions and align them with business priorities.
Why this matters for enterprises
The combination of automated scoring and human validation reduces guesswork in upgrade planning. That translates to faster decision-making, more predictable budgets, and fewer unexpected issues during deployment. For organizations with extensive customization portfolios, the service offers a clearer roadmap for which pieces to modernize now and which to defer.
Technical and business benefits
Automated analysis compresses weeks of manual effort into hours. Complexity scoring enables precise resource planning. The recommendation engine helps teams choose modernization approaches that match IBM MAS 9.x capabilities. Because ACS handles the data plumbing and context, the upgrade plan is grounded in the actual structure of each system rather than generic rules.
Considerations and next steps
This service brings automation and domain expertise together. Teams should plan to provide sample class files and engage in the human review phase to ensure recommendations reflect business priorities. For organizations evaluating IBM MAS 9.x, this kind of analysis can reduce uncertainty and help secure stakeholder buy-in.
Maxis positions this offering as part of a broader Alchemize strategy to simplify migrations, integrations, and large-scale data transitions. For IT leaders facing extensive Maximo customizations, an evidence-based analysis can be the difference between a predictable upgrade and a costly detour.
Sample Upgrade Analysis Report
Contact Us Today
Ready to simplify your IBM MAS 9.x upgrade? Contact us to learn more about our AI-powered customization analysis service or to request a demo. Let us help you achieve a seamless, cost-effective upgrade with minimal disruption.
- Contact Us: https://maxistechnology.com/contact-us/
- Email: Sales@MaxisTechnology.com
- Site: https://alchemize.io/upgrade-analysis/
- Phone: +1 (844) 696-2947
