Disability insurance: AI in support of human judgment
AI can speed up claims processing, but human judgment must remain central.
In disability insurance, the work fundamentally involves making careful decisions at moments when a person’s life has been disrupted. Case managers review medical information, weigh clinical perspectives, listen to the claimant’s experience and apply the terms of the group insurance contract to determine eligibility and the next steps in the disability process.
It is complex, judgment-based work carried out in conjunction with the people going through a claim. Today, advances in artificial intelligence are rapidly reshaping that work.
In our organization, the transformation is already underway, but it doesn’t look like the vision promoted at major tech conferences. We don’t use an autonomous claims engine. We aim to reduce the administrative burden that has weighed on the industry for years, and to define the right place for AI in a process that turns on human judgment.
This approach recognizes the limits of AI while capitalizing on the areas where it is already delivering tangible results.
AI as augmented intelligence
Talking about augmented intelligence rather than artificial intelligence is more than a matter of terminology. Artificial intelligence implies replacing people; augmented intelligence strengthens the expertise of the specialists already in place.
In a regulated, judgment-heavy line of business such as disability insurance, that distinction carries operational and legal weight. It shapes which decisions AI can influence, which it can make and which it must be kept away from entirely.
Let’s be clear: in our organization, AI does not replace case managers’ decision-making authority. It is used to present information in a concise, accessible format and to free teams from repetitive, low-value tasks. Each use case is deployed gradually and must fit within the company’s internal architecture.
The decisions always remain with people, and our governance framework brings in IT, compliance and risk management teams as use cases involve more sensitive personal information.
This approach is meant to support lasting outcomes for people on disability and the teams who support them, while maintaining proper oversight and keeping human judgment at the centre of the process.
Tangible gains in everyday work
This vision does not involve autonomous decision-making systems, but rather targeted applications that support case managers in their day-to-day work.
So far, the most tangible benefit has been practical. A post-call note-taking tool now generates some of the documentation that case managers used to type up while talking with claimants. They can now focus more fully on the conversation, and claims can progress more quickly.
Another exploratory initiative uses an AI agent to read incoming documents, categorize them, and route them to the right place in the file. This work has always been done by administrative staff, one document at a time. If scaled successfully, this approach could remove one of the largest fixed costs in claims operations.
Cutting review time in half
A larger-scale pilot targets one of the most demanding stages in a long-term disability claim: the 24-month mark, which often signals a change in the definition of disability. At this stage, most contracts require a full reassessment of the person’s eligibility because the criteria for continued benefits change. Case managers must then review the entire file.
The AI tool we’re piloting could cut the time spent on this assessment by roughly 50%.
The mechanism is simple. The tool:
- Analyzes the medical documentation
- Builds a history of treatments and rehabilitation
- Identifies which physicians recommended which interventions
- Presents the information in a clear, concise format
This lets case managers get up to speed on a file in minutes rather than hours, while verifying the results before using them. AI hallucinations remain a known risk, but they are the exception and accuracy is a key, non-negotiable performance indicator for us.
If the results seen in the pilot hold, reducing the time spent at this stage could transform the way our people work and speed up responses for claimants and plan administrators.
What AI enthusiasm often overlooks
The prevailing Silicon Valley narrative of AI in group benefits assumes that case management is a process waiting to be automated end-to-end. We see the reality of the work differently: people are not an obstacle to efficiency, but the source of the service’s value.
Not having to transcribe conversations, sort documents or re-read two years of medical history at a change of definition allows case managers to carry more files, respond faster and spend more time on the situations that truly require it.
It’s important, however, to remain clear-eyed. Attention, empathy, support and sound judgment will remain essential in disability management. AI can strengthen these qualities, rather than replace them, by reducing some of the daily, repetitive or low-value administrative work. This is how the approach can improve outcomes for plan members and for the organizations that support them.
The real value of AI lies not in replacing human work, but in enabling specialists to accomplish more: deepening conversations with people, devoting more time to analysis and judgment, and paying closer attention to the supports that aid recovery.
The future will not be built on algorithms making the decisions, but on specialists equipped with tools to exercise their judgment, support people on disability and foster their recovery.
That is where the true promise of AI lies.
An earlier version of this article was published in March 2026 in Human Resources Director.