Macros Reply, a provider of business processes automation solutions for insurance and financial services companies, has unveiled Macros OMNIFRAIME, a new framework designed for automated and intelligent input management.

The solution is intended to facilitate efficient automation and intelligent processing of all incoming documents. It achieves this by leveraging generative artificial intelligence (AI) within Macros eWorkplace, the proprietary enterprise content management (ECM) suite, or in conjunction with various document management, enterprise resource planning (ERP), or customer relationship management (CRM) solutions.

According to Macros Reply, Macros OMNIFRAIME streamlines the preparation of incoming correspondence through AI assistance, thereby allowing for the automatic processing of documents, requests, and cases.

By integrating technologies such as Insiders Technologies’ machine-learning-based inbox management solution, smart FIX, with advanced cloud and robotic process automation (RPA) services, Macros OMNIFRAIME enhances these capabilities with generative AI.

Additionally, it incorporates services based on large language models (LLMs) like ChatGPT, which contribute to creating precise process summaries and generating response letters automatically. This amalgamation of technologies is said to empower efficient and tailored input management, enabling companies to promptly respond to their customers, suppliers, and partners.

Macros OMNIFRAIME is designed for easy scalability, offering organisations flexibility in addressing rising input volumes, peak loads, and evolving requirements. This scalability is particularly advantageous for industries with stringent compliance demands, such as healthcare and finance, as Macros OMNIFRAIME includes control mechanisms to ensure compliance during processing.

Benefits of adopting Macros OMNIFRAIME encompass enhanced customer satisfaction through intelligent automation, leading to more efficient document processing and reduced turnaround times.

Employees experience increased capacity for demanding tasks as the framework eliminates the necessity for manual sorting and sifting of documents. Additionally, automated data extraction contributes to cost reduction in manual data entry and processing.

Furthermore, the implementation of Macros OMNIFRAIME minimises errors associated with manual processing, improving the quality of extracted data for distribution and subsequent processing.