Insurance work depends on information arriving in many forms. A policy file, an application attachment, a claim document, or a supporting record may begin as an image or a document that needs to be reviewed by a person. Carriers, managing general agents (MGAs), and third-party administrators (TPAs) benefit from first understanding where those documents enter the operation and what work follows.
Mercury includes document imaging and natural language processing (NLP). When evaluating that capability, teams should describe the document journey in operational terms: who receives a document, which process it supports, who reviews the information, and what decision or next step depends on it. A clear map gives business and technology stakeholders a shared starting point.
Document imaging and NLP are related but distinct parts of a document workflow. Imaging concerns the document as a visual record; NLP concerns working with language in the document. Treating these as separate stages helps teams ask better questions about what information they need and how it should be checked before it is used.
For example, stakeholders can identify the types of documents that matter most to a program, list the information staff regularly look for, and note where people need context to interpret it. The goal is not to assume that every page can be handled the same way. A document may require review because it is incomplete, unclear, or associated with a situation that calls for human judgment.
Any document process should make clear who is responsible for checking information and resolving uncertainty. Carriers, MGAs, and TPAs can define which team owns an initial review, how a question is routed, and what evidence should remain available to the people handling the work. These are operating decisions for each organization, not substitutes for its controls or professional judgment.
It can help to distinguish routine processing from exceptions. Teams might document what to do when a page is unreadable, when a field appears incomplete, or when a document does not fit the expected process. A visible path for exceptions makes it easier to keep unusual cases from disappearing into a general queue and helps reviewers focus attention where it is needed.
Document information matters because it supports policy and claims operations. Before changing a workflow, teams can trace how a document relates to the work around it: what prompted its arrival, what information staff need, and what happens after review. This does not require assuming an automatic decision. It creates a practical picture of where imaging and NLP may support the people responsible for the process.
Cross-functional input is important. Operations staff can explain the sequence of work; technology colleagues can discuss system responsibilities; and compliance or program leaders can identify requirements that affect review. MGAs and TPAs may also need to coordinate with carrier partners on definitions, handoffs, or documentation practices. Making those dependencies visible early can prevent a narrow technical change from overlooking how teams actually work.
A useful assessment looks at representative documents and tasks rather than relying only on a feature description. Select examples that reflect ordinary work as well as the variations staff encounter. Ask reviewers whether the information they need is easy to locate, whether its meaning is clear in context, and whether the next step in the process is understood.
Feedback should be specific. Instead of asking whether a process feels faster, record where a reviewer had to stop, what information needed clarification, and which handoff was difficult to follow. Teams can use those observations to refine their procedures and identify where additional guidance or oversight is appropriate. They should also agree on how changes will be reviewed as document types, programs, or responsibilities evolve.
Document workflows remain useful when ownership is clear. Carriers, MGAs, and TPAs can assign responsibility for maintaining process definitions, reviewing exceptions, and communicating changes to staff. A simple record of the intended purpose, relevant roles, and review steps gives future teams a way to understand why the workflow is structured as it is.
It is also worth establishing how feedback will be gathered after a process is in use. Frontline users often notice recurring ambiguity or a handoff that does not match the written procedure. Regular review allows the organization to decide whether a process needs clarification, training, or a system configuration discussion. The review should focus on the business requirement and evidence from actual work.
Before assessing Mercury document imaging and NLP, teams can use this checklist to organize a cross-functional conversation:
Document imaging and NLP are most useful to evaluate in the context of the work they are meant to support. By mapping the document journey, assigning review responsibilities, and testing assumptions against real operational examples, carriers, MGAs, and TPAs can make a more informed assessment of how Mercury's capability fits their needs.
Prior 