NEWSROOM

Category: Digital Transformation

Plan Maximo migration around intended use, records, functional mapping, cutover, and integrations. Define evidence and ownership before committing to go-live.
Separate Maximo 7.6.1.x base support, purchased extensions, and MAS dual support, then document the dates and conditions that apply to your site.
Discover how RAM Discover uses AI to investigate asset trends, uncover failure patterns, and support faster life sciences decisions.
Meet EU Annex 11 and GMP expectations with a validated computerized system. RAM delivers audit trails, IQ/OQ/PQ, and inspection-ready documentation.
Choosing a CMMS or EAM implementation model in a GMP environment is not just a project management decision — it determines where validation effort, operational strain, and compliance risk land across your go-live. In this guide, you’ll compare big-bang, phased, compliance-first, and patchwork approaches to identify the implementation model that best fits your data readiness, QA bandwidth, and audit pressure.
CMMS and EAM implementations rarely stall because of the core system. They stall because integration scope expands faster than teams expect. Learn how to decide which interfaces belong in Phase 1, which can wait, and how to protect your go-live date.
Even when configuration, validation, and testing are complete, many life sciences implementations stall at the same place: SOP revisions, QA approvals, and training readiness. Learn how to avoid the “SOP Revision Wall” by planning documentation, review capacity, and training sequencing before go-live becomes the critical path.
Modern EAM/CMMS platforms don’t just store maintenance data—they turn it into evidence regulators trust. Learn how automated workflows, risk-based parts governance, multi-site standardization, and GMP-ready analytics reduce compliance risk by eliminating manual handoffs, enforcing controls, and surfacing issues before audits do.
In pharmaceutical manufacturing and contract development and manufacturing (CDMO) environments, equipment performance is an operational concern, a compliance requirement, and a quality imperative.

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