In a recent post, we explored the importance of managing Work In Process (WIP) documents during a Management of Change (MOC) project. As changes are scoped, drawings are marked up, calculations are run, and new procedures are drafted — project files begin to accumulate. This documentation is essential not only for review and execution, but also for building a permanent, auditable record for the life of the facility.
Today, this process still relies heavily on the MOC initiator or coordinator to locate, organize, and track everything manually.
But what if they had a smart assistant?
The Role of an AI Agent: Support, Not Control
Rather than replacing the role of the engineer or MOC owner, an AI Agent can act as a digital aide — one that:
- Surfaces relevant documents from past projects, equipment records, or procedures as soon as an MOC is initiated
- Suggests what’s typically required based on the nature of the change (e.g., a new pump, a piping reroute, or a software modification)
- Flags missing content (like a missing datasheet or obsolete control narrative)
- Helps organize the WIP folder, tagging files, versioning drafts, and even providing quick summaries of revisions
- Tracks and reports progress as documents are added, reviewed, and finalized
In other words, the AI doesn’t “manage” your WIP — you do. It simply makes the work faster, smarter, and easier to follow.
Why Structure Still Matters
For this type of AI support to be effective, your MOC platform needs a clear and consistent document framework. Unstructured folders, ambiguous file names, or loosely governed SharePoint libraries will limit how helpful an AI assistant can be.
That’s where the FACILEX®MOC solution stands out — it provides:
- A purpose-built WIP folder structure embedded in each MOC record
- Integration with SharePoint’s document management and metadata features
- Traceability and transparency for every document throughout its lifecycle
By establishing a solid foundation for document collaboration and control, FACILEX® makes it possible to layer in AI assistance thoughtfully and incrementally — always keeping the human in control.



