Blog
April 18, 2026
von
Andrej Evtimov
The daily challenges of bodily injury adjusters and how AI can help them use their time more efficiently.
Consider a typical Thursday for a bodily injury claims adjuster at a mid-size southeastern insurance carrier.
The adjuster arrives at 7:45, prepared for the day. There are 42 open claims, six of which require action today.
The tasks have firm deadlines: two reserves need updating, a defense attorney requests a return call about a deposition schedule, a claimant’s attorney has sent a demand letter requiring a response by end of day, a supervisor has flagged a claim for management review, and 1,100 pages of medical records have arrived for a new assignment that must be reviewed before tomorrow’s team meeting.
With eight years of experience, the adjuster values accuracy and is dedicated to the role. However, completing all tasks in a single day is not feasible.
8:00 AM - The queue
The first step is triage. Without an automated system to prioritize claims, the adjuster relies on experience to identify which attorneys escalate quickly, which claims are overdue, and which tasks are most urgent. The demand letter response is the most challenging. Although postponing it may be tempting, experience shows that productivity often declines in the afternoon.
The demand letter is 67 pages long, with attached medical records, billing summaries, a lost-wages calculation, and a narrative framing a low-speed rear-end collision as a life-altering event. This is a common pattern. The attorney’s narrative is persuasive, the medical documentation supports maximum value, and enough real injuries are documented that the claim cannot be easily dismissed.
A proper response requires independently verifying medical claims against treatment records, checking for inconsistencies between the demand narrative and medical evidence, evaluating injury severity against the accident mechanism in the police report, and forming a defensible opinion on liability.
Reviewing a demand letter requires more than reading. It demands a thorough investigation.
9:30 AM - The medical records
The next step is to cross-reference the demand letter’s medical claims with the records on file. The claimant alleges a cervical disc herniation, lumbar strain, and right shoulder injury, all attributed to the accident. It is necessary to confirm whether these conditions were documented before the accident, if the treatment timeline is consistent with traumatic onset, and whether the physicians’ notes align with the claims in the demand letter.
This process requires a careful, page-by-page review. The claimant’s medical records total 430 pages from four providers, each using different electronic health record formats and varying in legibility. Some records are chronological, while others are not, and duplicate pages appear due to overlapping record requests.
The initial emergency room record shows a chief complaint matching the accident description. The next task is to locate the diagnostic imaging, specifically the cervical MRI cited in the demand letter, which shows a disc herniation. The radiology report on page 187 mentions a “disc bulge at C5-C6,” but does not use the term “herniation.” The demand letter says “herniation,” while the MRI report says “bulge.” These are clinically different findings with significant implications for case value.
Attention to these details can determine whether a claim settles for $35,000 or $120,000. Experienced adjusters are more likely to identify such discrepancies, whereas less experienced or overburdened adjusters may overlook them due to time constraints.
By 10:45 AM, nearly two hours have passed on a single claim, and the medical records review is still incomplete.
11:00 AM - The interruptions
A call comes in from the defense attorney on a separate claim regarding the deposition schedule. The conversation lasts 20 minutes and covers both strategy and logistics. Notes are taken, the file is updated, and a follow-up email is sent.
A supervisor visits to discuss the flagged claim, expressing concern about the adequacy of the reserve. The claim has developed differently than expected, requiring an assessment of whether the initial reserve should be increased. The file is reviewed, the latest medical records are examined, and a justification for the reserve change is drafted. This task takes forty-five minutes.
Lunch consists of a granola bar at the desk while reviewing a new 1,100-page file assignment. Only the first fifty pages are scanned to understand the accident description, initial medical records, and claimant’s basic information. A thorough review will be required before tomorrow’s meeting, but for now, attention returns to the demand letter response.
1:30 PM - Back to the demand
Attention returns to the demand letter claim. The discrepancy between the demand narrative and the MRI findings has been identified. The next step is to build a counter-evaluation. The police report is reviewed for liability factors. This is a rear-end collision, which in most jurisdictions creates a presumption against the trailing driver (the insured). However, the report notes that the claimant’s vehicle was stopped in an unusual position. This detail is relevant to the liability assessment and must be carefully addressed.
Medical specials, the amounts actually billed by providers, are calculated. The demand claims $47,000 in medical expenses. The review shows $38,000 in bills directly related to the accident, with the remaining $9,000 for treatment of conditions that appear to predate the collision.
A counteroffer is drafted with a supporting rationale. This process takes ninety minutes, as each statement must be defensible, every figure documented, and the tone professional yet firm to ensure it is taken seriously by opposing counsel.
By 3:00 PM, most of the day has been devoted to this claim, leaving other action items unaddressed.
3:15 PM - The calls
Three phone calls are made: one to a claimant on a separate case seeking an update, one to an insured needing clarification about potential premium changes, and one to a medical provider’s office to request missing records for another claim.
The call to the claimant is the most important. The claimant is frustrated, having been injured three weeks ago, still in pain, unable to work, and feeling their claim is not receiving enough attention. While empathy is essential, this claim may not be prioritized because the injuries appear moderate and liability is clear. Although it should be straightforward to resolve, the delay is due to insufficient time to fully review the medical records.
While reassurance and a general timeline can be provided, specific details cannot. The claimant ends the call somewhat less frustrated but still dissatisfied. If this continues for another two weeks, the claimant may hire an attorney, potentially increasing the claim from $25,000 to $100,000.
4:30 PM - The reckoning
The action list is reviewed. Two reserves still require updating. The 1,100-page file still needs a thorough review. Documentation is needed for three claims, and there are 23 unread emails, four of which require substantive responses.
The workday extends until 6:00 PM. The reserves and some emails will be addressed, but the file review is postponed until tomorrow morning, likely resulting in a less thorough assessment for the team meeting. The frustrated claimant is expected to call again on Monday.
This scenario represents a typical Thursday for adjusters.
What Could Change
Now consider how a typical Thursday could be improved with better AI-powered tools focused on claims analysis and workflow management.
The demand letter arrives at 8:00 AM. By 8:15, AI has ingested and structured the entire claim file, including the demand letter, medical records, police report, and billing records. The system presents the adjuster with a complete, AI-generated timeline: injuries claimed versus injuries documented; a treatment chronology with AI flagging gaps or inconsistencies; highlighted discrepancies, such as the demand letter’s "herniation" versus the radiology report’s "disc bulge"; and a preliminary liability assessment from multiple viewpoints.
Instead of spending two hours reading medical records, the adjuster spends twenty minutes reviewing the AI-generated analysis and uses one-click links to validate key findings in the source documents. By 9:00 AM, a counteroffer is being drafted, not from scratch, but using AI-generated talking points as a starting framework for the adjuster to review and refine as needed.
The response to the demand letter is due by 10:00 AM. It is better documented, as the AI system automatically cites the specific pages and findings in the claim file that substantiate each point in the response.
By 10:30, the 1,100-page new assignment is opened. AI has organized the file, removed duplicates, extracted key facts, and produced an initial assessment for the adjuster to review. The adjuster completes this review in 30 minutes instead of the usual four hours, ensuring readiness for tomorrow’s meeting.
By lunch, the reserves are updated. By 2:00, a call is made to the previously frustrated claimant. This time, AI-assisted review has already surfaced essential medical details, enabling the adjuster to have a specific, fact-based conversation and offer a preliminary assessment based on up-to-date information.
By 5:15 PM, all items on the action list, as well as some tasks scheduled for the following day, have been completed. This efficiency is possible not because AI replaces the adjuster, but because AI handles time-consuming reading and data structuring. This allows the adjuster to focus on higher-level analysis and decisions.
This is the difference: not a dramatic Thursday, but a productive and manageable one.
amaise is the AI co-pilot designed for claims adjusters handling bodily injury files. It reviews all documentation so you can focus on work that requires your judgment. See it in action at amaise.com.
