This article is by Kieran Watts – Industry Lead, Claims Innovation at Digital Workforce
Across the industry, every CEO is facing a similar headache: hundreds of highly skilled professionals spending their days reading documents, checking coverage, and manually entering data. But by the end of this year, this headache could be eliminated with the end of manual processing.
For the first time, technology can read, understand, and act on insurance documents – from broker submissions to claims files – without human intervention. The use of automated intelligence is not new to the industry, and while insurers have been automating processes for over a decade, the latest AI models and AI Agents are transforming the way claims are managed and customer service is delivered.
What is an AI Agent?
Depending on who you ask, and what level of agent-washing they’re guilty of, you might get a different answer.
At its most basic, an AI agent is an intelligent tool that can understand its environment, make decisions, and act autonomously to complete tasks – going beyond what traditional automation can do.
How do they work in insurance?
Bringing an entirely new level of intelligence to the insurance sector, AI Agents have the ability to process multiple sources of complex data, interpret detailed policy documents, and make decisions autonomously. Akin to having a team member that can work at full capacity, 24/7/365, with minimal supervision, these solutions deliver measurable business value and strengthen the bottom line.
The latest AI technologies can replicate the expertise of experienced claims professionals, manage the full claims customer journey from first-notice-of-loss to settlement with greater accuracy and consistency, all while providing policyholders with a smoother, more responsive experience. The impact is being felt by more than policy holders, with early adopters reporting a 20-30% reduction in operational costs.
Smarter claims = real savings
Traditionally, insurer processes have been heavily reliant on manual resources and learned expertise to manage policies and claims. The adoption of AI has proven to deliver measurable benefits in reduced manpower and increased accuracy in claims management, in multiple areas; including underwriting risk scoring, policy fulfilment, expedited claims resolution, and improved compliance and governance.
Aside from the operational savings, the use of AI solutions to manage high volume, complex administrative tasks, AI releases valuable resources to focus on providing enhanced customer service and focus on higher value tasks. What if your team could treat every claim they worked on as if it were the only one they had that day? For organisations that have deployed AI Agents, that’s quickly becoming a reality.
This extends beyond replacing a few jobs, but is a fundamental reinvention of how insurance companies operate.
Why senior execs are playing catch up
The path to AI adoption is not an easy one for decision makers, who are regularly bombarded by media hype, extravagant claims and the sheer pace of development of LLM models.
Navigating a clear adoption strategy amidst a cacophony of choices can be daunting for executive teams. Especially when considering the burden that material legacy system investments, data, and complex governance structures will have. Crucially, not every investment pays off, and the insurance sector is one that is inherently risk averse.
However, the wins are no longer theoretical, and AI solutions are already demonstrating their capability in autonomously and accurately reviewing data, making decisions, and taking action. Real-world industry use cases are already delivering transformational results – from 98% accuracy in claims assessment to cutting report analysis from hours to minutes.
What happens to insurers who wait, and how to avoid becoming one
Insurers who haven’t started implementation are already at a distinct disadvantage to competitors who have embraced these technologies. The time for asking ‘if’ has passed, and executives who are late to adopt should now focus on ‘how fast can we catch up’.
Those who act decisively will unlock significant economic and operational efficiencies while delivering enhanced customer experiences for their policyholders. The stark reality is that insurers who continue to sit on the fence risk competitive extinction, especially as consumers become increasingly sophisticated in their own AI usage and will naturally gravitate toward insurers who align with their evolving digital expectations.
Not sure how to get started? Follow these steps
Start small by addressing specific business cases, launching your AI Agent pilots in low-risk, high-volume areas like claims intake or quote generation. Once you’ve proven your ROI with clear KPIs, replicating those returns become straightforward and scalable.
The approach that works best uses agents as tools that work with your existing systems, including human-in-the-loop as a safety buffer – ensuring trust and control. By connecting these existing capabilities, you avoid any major disruption and risk of AI agents working beyond their scope, creating synergy between human judgment and AI capabilities.
There are understandably fears over AI and the impact on jobs, and transparency from the start is integral to success. Bring your team along the process with you, and by highlighting how AI enhances rather than threatens their work, releasing resources to focus on more rewarding tasks, adoption tends to accelerate naturally.
Lastly, but most critically, find the right partner for you. Look beyond vendors who are simply selling the technology, and find a partner that can help develop and elevate your own AI skills in tandem.
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