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Claims sit at an unusual intersection of process and judgment. A claim may involve documents, financial information, internal approvals, communication between teams and decisions that depend on the circumstances of the individual case. Even when the underlying decision is relatively straightforward, the work surrounding it can involve a surprising number of steps.
This is where technology can make a meaningful difference. The strongest opportunity is not necessarily to automate the claim itself, but to make the operational process around it more structured: keeping information together, moving work to the right person, tracking approvals and making the current status visible. This gives claims professionals more time to focus on the parts of the process where their experience actually matters.
The distinction is becoming more relevant as insurers increase their use of automation and AI. In a July 2026 analysis of nearly 4,000 responses from P&C insurance customers, Deloitte found that claims processes can still feel fragmented and unclear despite significant investment in digital tools. The same research highlights a model in which technology reduces friction and supports decision-making while human judgment remains central to more complex interactions and decisions
Claims Complexity Often Sits Between the Steps
Claims rarely move from submission to resolution through one uninterrupted process. Information arrives from different sources, supporting documents need to be reviewed, responsibilities change, approvals may be required and financial teams may become involved before the case can progress.
Operational problems often emerge during those transitions. A case can be waiting for documentation without the next person realizing it, an approval can sit in an inbox, or finance can be waiting for information that another team considers complete. When these handoffs depend heavily on email, spreadsheets or individual follow-up, it becomes difficult to maintain a consistent view of where the claim stands.
As volumes increase, the issue becomes less about any one task and more about coordination. A connected claims workflow gives each step a place in the same process, with ownership, status and relevant information following the case rather than being reconstructed every time responsibility changes hands.
Where Claims Automation Adds the Most Value
The most practical areas for automation are usually repetitive, rules-based tasks that surround professional claims work. Routing, task creation, notifications, approval workflows and status updates can often be standardized without taking judgment away from the people responsible for the claim.
For example, a workflow can assign an incoming case according to predefined criteria, alert the appropriate team when action is required and route an approval to the correct person. Once that action is completed, the next step can be triggered without someone having to coordinate the process manually.
This is the type of operational automation supported within Manit Labs. Claims approvals, documentation and routing can be managed within a connected workflow, while tasks and notifications can be triggered as work moves between teams. Manit Labs also provides shared visibility across underwriting, claims and finance rather than treating those areas as isolated processes.
For claims teams, the benefit is not simply faster movement from one stage to another. Structured workflows make ownership clearer and reduce the amount of time spent checking whether an action has already been completed or determining who needs to act next.
Documents Need to Be Part of the Workflow
Documentation is central to claims handling, but storing a file is not the same as managing the information around it. Teams need to know which documents belong to a case, what has already been received and what information is still required before the claim can move forward.
When documents and workflow activity live in different places, small gaps can create unnecessary work. A claims professional may spend time searching for the latest version, checking whether information has already arrived or asking another team to confirm the status of a request. The problem becomes more pronounced when several people are involved in the same case.
Keeping documentation connected to approvals and routing creates a more coherent process. Manit Labs specifically brings claims documentation, approvals and routing into one workflow, allowing the operational history of the case to remain visible as it moves between teams.
That may sound less dramatic than fully automated claims handling, but it addresses one of the everyday sources of friction in claims operations: losing context as work changes hands.
Connected Claims Require Connected Teams
Claims rarely operate independently from the rest of the business. Underwriting may need to provide background on the original risk, finance may need approved information before taking action, and management may require visibility into larger or more complex cases.
If each function works in a separate system or relies on informal communication, every handoff creates another opportunity for delay or inconsistency. The operational process becomes dependent on individuals remembering to send updates, forward documents or tell another department that a case has moved to the next stage.
Connected workflows reduce this reliance on manual coordination. Manit Labs is designed to connect underwriting, claims and finance within the same operational environment, with tasks, notifications and workflow status available across the relevant teams. Its dashboards and audit trails also provide a record of progress and activity as cases move through the process.
This becomes particularly important as an organization grows. Higher claims volumes do not simply create more cases; they create more handoffs, more approvals and more dependencies between people.
Where AI Can Support the Claims Process
AI can add value when claims teams have to work through large volumes of information and determine where attention is required. Rather than treating every case in exactly the same way, technology can help organize incoming work, identify patterns and support prioritization.
Manit Labs currently includes AI-driven capabilities such as data collection, fraud detection and triage within its underwriting and claims module. These capabilities sit alongside workflow automation rather than functioning as a separate layer, which is important because useful AI depends on having a structured process around the information it is evaluating.
Across the wider insurance market, a similar approach is emerging. Deloitte’s 2026 claims research describes AI being used to support intake, document collection, case routing and professional decision-making, while maintaining human involvement where the nature of the claim requires judgment.
The practical value is therefore often in helping claims professionals deal with volume more effectively. Technology can reduce the amount of time spent organizing work and make it easier to identify cases that need closer review, without assuming that every decision can be standardized.
Human Judgment Remains Part of the Process
Not every claim follows a predictable path. Coverage questions, unusual circumstances, exceptions, incomplete information and disputed matters can all require interpretation that goes beyond a predefined workflow.
This is where claims expertise remains essential. A system can organize the documents associated with a case, route it to the appropriate specialist and make the history of the workflow visible. It can also help identify information that may warrant further attention. The final assessment of a complex case, however, can depend on experience, context and professional judgment.
Deloitte’s 2026 insurance research describes a similar shift in the role of claims professionals: automation increasingly takes on structured and repeatable work, while people concentrate on more complex judgments and decisions.
For claims operations, this creates a more useful way to think about automation. The objective is not to remove people from the workflow, but to avoid using specialist time for administrative work that technology can handle consistently.
Visibility Is Part of a Good Claims Workflow
Automation alone does not make a process easier to manage. Teams also need to understand how claims are progressing, where work is accumulating and which cases require attention.
Real-time visibility makes it possible to track volumes, progress and outcomes without manually compiling information from different sources. Audit trails provide another layer of operational control by showing how work has moved through the process and which actions have already taken place.
Manit Labs combines workflow activity with dashboards and real-time monitoring of underwriting and claims. This means the same environment used to manage work can also provide teams with a broader view of process performance.
Over time, this kind of visibility can also help identify operational issues that are larger than an individual claim. Repeated delays at the same stage or a growing volume of pending approvals may point to a workflow problem rather than a problem with any single case.
Building Claims Operations Around the Work
Claims technology is often discussed in terms of sophisticated AI models or fully automated processes. In practice, much of the immediate value comes from solving more familiar operational problems: keeping information together, reducing manual handoffs, clarifying ownership and making it easier for different teams to work on the same case.
Once that foundation is in place, automation and AI can be introduced where they genuinely improve the process. Routine administrative work can move with less intervention, while specialists retain responsibility for the cases and decisions where their knowledge adds the most value.
For insurers and reinsurers, the result is not simply a faster claims process. It is a more connected operating model in which technology manages more of the movement around the claim while professionals remain focused on interpretation, exceptions and decisions.
That balance is likely to matter more as claims volumes, data and expectations continue to grow. The strongest claims operations will not be defined by how much human involvement they eliminate, but by how effectively they use automation to support the people responsible for making the important decisions.