With more emerging players entering the insurance market and insurance companies recognizing the importance of the digital experience, consumer demands for a connected insurance experience have grown to new heights. For insurance customers, the claims process is a critical moment of truth, making it essential that insurers deliver a hassle-free, seamless experience with faster claims processing and excellent customer service.

Inefficient operational processes often lead to bottlenecks, delays, and increased costs, hindering a company's ability to respond swiftly to changing market demands and optimize its supply chain management. Enter Business Process Modeling and Notation (BPMN), a powerful visual language that helps businesses enhance operational efficiency and streamline complex processes.

Artificial intelligence has been instrumental in helping businesses streamline and speed up business operations by automating repetitive tasks. It also frees up workers to focus on higher-level tasks that require human intervention. And when paired with other intelligent automation tools, such as robotic process automation, it can improve business processes and provide a competitive advantage.

Generating files for data extracts, reporting and even data migration is a crucial part of any back-end team. A typical data team will have to generate many files to be sent to various clients or consumers inside or outside of the organisation. As with all things, the question is how can the generation of those files be made simpler, and can it be automated to such a degree that files are dynamically generated? The short answer is yes, it can be done dynamically.

Project management across multiple teams, especially under the triple-constraints of time, cost, and scope, is an intensive task. Project managers have to cover tons of ground to keep things on track. For example, they might manage allocating resources based on availability, assigning tasks, controlling execution, tracking and reporting progress, and forecasting future trends.

Effective quality management in the life sciences industry is essential for ensuring patient safety, regulatory compliance, and the delivery of high-quality, efficacious treatments and medical devices. And good quality management is about more than just checking a regulatory box. Ensuring the safety and efficacy of your products can prove challenging, but the right technology can help.

Automating a process can be complex, especially when it’s a long-running process with many steps and complex business rules, cross-cutting multiple departments and systems in an enterprise. To automate a process like this from end to end, you’ll need a process automation strategy and software. Assuming you’ve ticked both of those boxes, the next step is putting those things to work, which is the focus of this post.