Insurance · Healthcare, AI claims automation spreading... The victory or defeat depends on "auditability"

In the global healthcare and insurance industries, “claims automation” is no longer just an auxiliary tool for cost reduction but has become a survival strategy. Against the backdrop of competition driven by real-time payout speed and patient response, companies are accelerating the adoption of “auditable” artificial intelligence (AI) process orchestration to reduce bottlenecks and improve processing accuracy.

Especially in highly regulated medical environments, automation alone is not enough with speed. All automated steps that impact clinical judgment or financial outcomes must be verifiable through external audits. Therefore, compared to traditional “black box” AI, the industry prefers systems with traceability and controllability.

Headquartered in Quebec, Canada, Global Excel Management is considered a typical case in this wave of transformation. The company provides medical support, cost management, and insurance claims services in over 90 countries and regions, handling global medical claims with an organization of about 2,500 people. The company’s goal is simple: to communicate information to clients and employees faster and ultimately increase payout speed.

Greg Aldana, Vice President of Solution Consulting at Appian, stated at the Appian World 2026 conference: “Technology is solving problems at an extremely fast pace while creating an ROI that can offset project costs on its own.” He emphasized that the faster the claims review and customer inquiry response, the more likely it is to translate into actual revenue growth. Speed’s value is not just convenience but “real money.”

Jeff Lennon, Director of Information Systems at Global Excel Management, also pointed out that data acquisition speed is the starting point of automation. The company uses the Appian platform to build customer portal tools, enabling faster and more efficient data collection and real-time transmission to staff. This aligns with the overall trend of digital transformation in healthcare: first improving data input, then enhancing the efficiency of subsequent review and payout processes.

More Important Than Speed: “Auditableability”

However, the core of healthcare and insurance claims automation is not merely processing speed. In a regulated industry, every automated measure must be traceable in terms of cause and method. Aldana pointed out that the advantage of the Appian platform lies in its design, which allows every step involving AI to be auditable by third parties. He explained that in claims processes subject to strict government regulations and medical rules, such an architecture is indispensable.

This is also why recent AI applications across many industries, especially in healthcare and insurance, emphasize “explainable automation.” Because no matter how fast the results, if the process is opaque, it will be difficult to adopt in actual operational environments. Industry experts believe that in the future, as new generations of large language models or AI functionalities emerge, the gap between enterprises will further widen based on how quickly and safely they can apply these tools to their work.

Aldana stated that the current mindset is no longer about simple automation to reduce manpower but about leveraging the same workforce to double productivity. This reflects that claims automation is shifting from a cost-cutting tool to a growth strategy.

AI Claims Automation: Aiming for Profitability and Customer Experience

The market generally believes that insurance and healthcare companies, in response to rising customer expectations, are likely to expand their investments in automation. Policyholders and patients now demand faster and more accurate services from claim acceptance, progress tracking, to payout notifications. Meanwhile, companies also need to meet compliance requirements, control operational costs, and improve workforce efficiency, so the demand for AI claims automation is expected to further grow.

Ultimately, the key lies in balancing “fast processing” with “reliable control.” Merely achieving significant speed improvements is not enough; results must also be verifiable and explainable. This is why the global insurance and healthcare industries view claims automation as a matter of survival. In the future, competitiveness may no longer depend on how early or late the technology is adopted but on whether it can be operated transparently and stably.

TP AI Notes This article is summarized based on the language model of TokenPost.ai. The main content of the text may be omitted or may differ from the facts.