Workplace claims are legal actions or complaints that employees set forth against their employers due to violations of employment laws or contractual agreements. In recent times, employees feel encouraged to speak up for their rights with no workplace harassment, discrimination or unjust treatment. This increased awareness has raised legal standards and regulatory frameworks and thus, employees feel more empowered to report instances of harassment and discrimination.

95% of insurers are currently accelerating their digital transformation with AI-driven claims processing. Traditionally, this process involved manual steps such as claim initiation, data entry, validation, decision-making, and payout, consuming significant time and resources. However, the introduction of AI has replaced tedious manual work, enabling companies to streamline their tasks efficiently.

Insurance companies and third-party administrators are increasingly turning to automated data extraction to expedite the processing of medical insurance claims. This approach serves as a better alternative to time-intensive manual claim management. Leveraging AI technology allows them to efficiently extract crucial data from documents, eliminating manual data entry errors and significantly reducing processing times.

Insurers’ profitability (and survival) is being threatened by a myriad of challenges—rising policy lapses due to higher premiums, customer churn from tightening budgets, and skyrocketing customer expectations. Squeezed by these pressures, insurers must find ways to improve efficiencies in their core processes. But there is a way forward for insurers: Business process management (BPM), an approach to improving organizational processes that is designed to optimize work.

The U.S. Bureau of Labor Statistics reports that the incidence rate of nonfatal workplace accidents has decreased over the years, which can be attributed to the implementation of preventive measures in private industry. Despite this positive trend, companies deal with large volumes of unstructured data that demand effective management. Addressing these complexities is easier with Astera’s unstructured data extraction solution.

Over the past year, interest in artificial intelligence has surged due to the proliferation of generative AI and large language models. These tools captured imaginations, demonstrating a technology brimming with possibility. While many focused on the potential of these tools, some companies made AI practical. For example, last year, Appian released packaged AI tools for processing content at scale and quickly building interface forms.

Aligning HR practices with business objectives improves operational efficiency and enhances employee engagement. HR casework usually spans multiple disconnected departments and systems—exactly the kind of process end-to-end case management can help you connect. Some common use cases for HR case management include: Staying compliant with complex and evolving regulatory environments requires speed, flexibility, and a unified view of data and workflows that can be easily audited.

Claims processing is a multi-faceted operation integral to the insurance, healthcare, and finance industries. It’s a comprehensive procedure that involves carefully examining a claim. Claim processing is not a single-step process; instead, it involves multiple stages, each serving as a critical control point to ensure the accuracy and fairness of the claim resolution.

As business leaders cautiously navigate the uncertainties of 2024, marked by the mainstreaming of AI, heightened regulatory oversight, cost pressures, and supply chain disruptions, the need for agile and efficient business processes has never been more pressing. Amidst this backdrop of uncertainty, cloud BPM shines as a beacon of opportunity, offering organizations a transformative approach to streamline operations, drive innovation, and achieve better business outcomes.

Before low-code, enterprise IT teams had to use either traditional development or commercial off-the-shelf software to provide business solutions. But when low-code development entered the scene, teams discovered they could create custom, enterprise-grade software applications up to 10x faster.