Implementing AI for Claims Processing

A team reports that its claims are taking too long to process. The natural response is to look at the whole process and try to speed it up everywhere at once. That instinct feels responsible, but it often wastes effort. A complaint about overall time describes a symptom. It does not tell you which part of the work is responsible for the delay. This section starts from a case in which the complaint and the actual cause pointed to different parts of the same workflow.

A workflow is a series of tasks completed in a specific order. The discovery interviews in the source surfaced the workflow the claims processors actually followed, which was not the same as the workflow anyone had written down in the abstract. Tracing it means following one claim from the moment it is opened to the moment it leaves the processor's hands.

Read the flowchart as a single path. The claim moves through the steps in order, and it cannot reach routing until the narrative summary is finished. This ordering is what makes the summary's position matter. Any delay inside the summary delays everything that comes after it, and the source identifies the narrative summary as the step that held claims for the longest share of working time.

Notice what this definition does not say. It does not say a bottleneck is the step people find most frustrating, or the step that feels slowest when you are doing it. A bottleneck is a location in the sequence, and it is identified by one test: does this part of the process set the pace for the whole? In the source case, the narrative summary set the pace because it consumed a large share of each processor's working time, which left less time for everything else.

Notice the structure of this trace. You did not need to know why the summary was slow to find it. You needed the step times and the total. The trace is the state of the claim at each point, and tracking where the minutes accumulate is how you locate the constraint. Once the minutes are attributed to steps, the bottleneck is usually visible without any guessing.

If the narrative summary sets the pace, then making a different step faster does not change how fast claims leave the process. Work done faster in a step that is not the bottleneck simply waits in front of the bottleneck. The total throughput of the process is still limited by the slow step.

The common belief in this situation is that the stated problem and the real problem are the same thing. In the source case, the stated problem was claims processing time. Under that framing, the team would treat the whole claims process as the target. The source shows that this framing was incomplete. The real problem sat inside one step, and the stated problem did not reveal which step it was.

The source did not find the bottleneck by guessing. The engagement spent four days on-site at the larger of the two regional operations centers and conducted eight discovery interviews during the scoping phase. The interviewees included three line claims processors, two senior claims handlers, the head of compliance, a privacy officer, and the sponsor. Different people saw different parts of the workflow, and the interviews assembled those views into one picture. The key phrase is that the stated problem and the real problem had different first slices. Interviewing the people who performed the work is what moved the investigation to the narrative summary.