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IMS Q1 2026 Update: Enhanced data management, workflows, and asset integrity

Discover IMS Q1 2026 updates: improved data, workflows, and asset integrity for better reliability and performance.

8 May '26

ims q1 2026 updates

As demand for AI-driven capabilities in asset integrity continues to grow, we see that real impact depends on what comes before. That’s why our product development has focused on closing the gaps that matter most by improving how data is structured and maintained, how it flows across workflows, and how users interact with it in their day-to-day work. So, we are recommitted to our core focus for 2026, which is strengthening the foundation for consistent, data driven decision making to ensure your site’s integrity, reliability, and safety.


At the same time, we have been working to simplify the execution of work processes. This includes reducing manual processes, increasing flexibility in how field and engineering work is performed, and ensuring that critical information remains consistent and traceable across the system so that you can focus on engineering decisions, not system navigation.
In this blog, we highlight key improvements delivered so far this year in 2026. The primary themes of our IMS releases 4.8, 4.9, and 4.10 focused on making IMS more intuitive, connected, and reliable for everyday use.

Ease of Data with Improved Workflow

Dynamic Forms has been widely popular among our IMS users. To make it a powerful tool for data analysis as well, we’ve significantly expanded Dynamic Forms’ capabilities. Users can now leverage built-in analytics and charting to visualize inspection data by Equipment, Location, or by time series, making it easier to interpret results in context.

analysis of collected checklist data with charts

With the introduction of user-defined limits in chart templates, trend analysis becomes more flexible and aligned with operational thresholds. At the same time, in-table calculations using aliases provide immediate feedback within checklists, reducing the need for external processing.

chart limits setting in dynamic form fields

Furthermore, the ability to integrate drawings in Dynamic Forms streamlines execution by allowing users to select inspection locations directly from mapped CMLs. Together, these recent improvements make our Dynamic Forms a more powerful and intuitive workspace that captures, validates, and analyzes your workflow data in one place.

integrate drawings in dynamic forms tables

For more information on Dynamic Forms, see The IMS Handbook.
Discover some of the highlighted new features in Dynamic Forms: Data Analytics, Time Series Charts, and Drawings Integration.

Improving Data Consistency and CMMS Alignment 

We have been continuously working on enhancing how IMS aligns with CMMS and manages your critical asset data. This includes introducing a configurable Criticality Indicator that allows organizations to define and apply their own criticality models consistently across the platform, while fully phasing out legacy ABC indicators across imports, reports, dashboards, queries, and Dynamic Forms. We’ve also enabled the parallel use of Criticality Indicator and HEMP methodologies, providing greater flexibility without forcing trade-offs.

abc (criticality) indicator and hemp methodologies

In addition, CMMS-related information is now standardized and consistently visible across Equipment and FLOCs, improving transparency across methodologies. To further reinforce data integrity, equipment uniqueness is now enforced, preventing duplicate records and ensuring consistent identification. These improvements to enable communication between IMS and external systems create a more synchronized and reliable data environment, reducing ambiguity and strengthening trust across systems.

For more information on improvements to our CMMS connectors, see The IMS Handbook, and our Integration capabilities with IMS.

Adaptability and Compliance with Standards are still a Leading Priority

Inspection workflows need to balance structure with flexibility whilst ensuring that the validated data continues to adhere to the codes and regulations. To further support this, we’ve introduced a range of improvements in IMS PEI, including enhancements to last year’s much-awaited API 581 quantitative RBI methodology, the IMS FCM flange management product, and our functional safety product, IMS SIS, making the workflows more adaptable without compromising control.
We have added a new RBI Methodology field in Equipment to support multiple approaches and added a Product field in FLOC and Equipment to improve asset context.

new rbi methodology column and filters in the equipment main grid

For the API RBI 581 module in IMS PEI, introducing a Simple CoF assessment provides a faster way to perform evaluations while still allowing users to switch to detailed analysis when needed. Expanded PoF export and import capabilities further support bulk data handling, validation, and audits, alongside additional enhancements such as new mitigation options and more flexible approval scenarios where MII constraints previously applied.

quick alternative to a cof assessment in api 581 rbi

For more information on API RBI 581 in IMS, see: The IMS Handbook.
Discover the above highlighted IMS PEI improvements:  CoF Assessment, Specify the need for RBI Methodology on Equipment details

On the other hand, in the flange management module, IMS FCM, we’ve removed key execution bottlenecks by enabling the creation of Condition Histories (ECH) without requiring Jobs or Schedules, which supports more opportunistic, field-driven inspections.

independent ech creation for flanges and flocs in ims fcm

Discover the above highlighted IMS FCM improvement: Independent ECH creationin IMS FCM.

The recent IMS releases in 2026 introduce enhancements to IMS SIS that improve control, visibility, and governance across safety. The approval flow configuration has been made more adaptable for HAZOPs, LOPAs, and SIF Analyses, supporting a wider range of review scenarios. HAZOP deviation handling is now more streamlined, with automatic selection of parameters and guidewords via Node Cards, which can be used as a template to reduce manual effort and improve consistency.

adding deviations in hazop via node cards

SIF Analysis workflows have also been enhanced, allowing users to edit Equipment Actors based on SIF design roles, clearly track changes in success criteria, and view tolerability and public risk selections directly from linked LOPAs. This improves user awareness of changes within the Subsystem and ensures that required updates are immediately visible.

improvements to sif analysis success criteria

In addition, error remarks are now surfaced directly within approval screens, ensuring issues are visible at the point of decision-making. These updates in IMS SIS strengthen oversight and reduce the risk of missed details in critical safety workflows.

error remarks displayed on the sif analysis main screen

For more information on the major IMS SIS improvements from IMS Release 4.10, see: The IMS Handbook. 

Productivity and usability features in IMS to speed up your work

As with our past IMS releases, we have been looking at reducing repetitive work to maintain efficiency and consistency as we scale the capabilities of our IMS platform. Across our functional safety product, IMS SIS, and our asset reliability product, IMS RCM, we’ve focused on simplifying how users perform critical tasks and enabling auto-populating fields to minimize manual effort. Barriers can now be reused across LOPAs, eliminating duplication and ensuring consistency, while improved HAZOP–LOPA linking provides clearer visibility of safeguards and their connections.

add an existing barrier to lopa

Batch TI Optimization enables users to recalculate multiple SIF analyses in a single step, significantly reducing time spent on repetitive updates. Enhancements to the “Reset to Master Equipment” functionality now give users more control through selective resets and support for bulk actions.

trigger batch ti optimization for multiple sif analyses

Likewise, in IMS RCM, the introduction of strategy-based maintenance plans enables maintenance activities to be triggered directly from IMS strategies and seamlessly integrated with CMMS. These improvements significantly reduce manual configuration and allow teams to operate more efficiently at scale.

user configurable rcm maintenance plan strategy in ims rcm

Discover the above highlighted improvements in IMS SIS:  Improved Barrier and Safeguard Management, Batch  TI Optimization, and IMS RCM: Strategy Based Maintenance Plans.

Ready to explore? Check out these and our other enhancements from this year in our Release Notes and learn what these new improvements can do for you.  

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sangeeth sagar

Sangeeth Sagar Product Marketing Manager

Sangeeth is a mechanical engineer who worked in the aerospace and automobile industries as an NVH R&D and testing engineer before transitioning to product management of process control instrumentation. He is a part of Cenosco’s product management and marketing team, where he oversees product strategy and portfolio management