Insights
Company Updates & Technology Articles
Generative AI for billing: Scope, adoption strategies, use cases, challenges and best practices
The integration of generative AI in billing accelerates processing times and significantly reduces human errors, allowing businesses to provide better service while focusing on scaling their operations.
CUA models
CUA models, or Computer-Using Agent models, represent a significant advancement in the field of artificial intelligence, which are designed to interact with graphical user interfaces like humans.
AI in procure-to-pay processes
AI enhances the procure-to-pay cycle by automating routine tasks, improving decision-making, and ensuring better compliance, resulting in smoother, faster, and more efficient procurement operations.
AI in account-to-report
Generative AI and agentic AI each solve a specific piece of the problem, and together they change A2R’s operating model from periodic to continuous.
Understanding vertical AI agents
Vertical AI agents are systems designed to perform industry-specific tasks, leveraging proprietary data and domain expertise to deliver highly tailored solutions.
Generative AI for contracts management
Generative AI in contract management leverages natural language processing to understand and interpret the complex language used in legal documents.
Generative AI in manufacturing: Capabilities, integration approaches, use cases, challenges and future outlook
Generative AI in manufacturing has evolved beyond content generation, moving into autonomous, goal-directed agents that oversee production planning, quality control, supplier communications, and maintenance knowledge synthesis.
Generative AI in customer service: Scope, adoption strategies, use cases, challenges and best practices
Generative AI touches every sub-function of customer service by enhancing how organizations engage with customers, support agents, manage operations, and extract insights from service interactions.
Generative AI for regulatory compliance
Generative AI is transforming the field of regulatory compliance, enhancing risk management, operational efficiency, and compliance monitoring.
Generative AI in due diligence
Generative AI is redefining the scope and efficiency of due diligence by automating data-heavy tasks, enhancing analytical precision, and enabling faster, more informed decision-making.
Generative AI in logistics
Generative AI is poised to transform logistics by automating repetitive tasks, improving efficiency, and enhancing decision-making.
Generative AI for financial reporting: Development, integration, use cases, benefits and future outlook
Generative AI converts structured financial data into the narrative sections of reports, including the MD&A, quarterly commentary, variance explanations, and executive summaries.
