It is a platform designed to integrate generative AI (GenAI) agents into business applications, enabling dynamic digital interactions, enhanced productivity, and improved performance using large language models (LLMs), natural language processing, and proprietary data.
It is a platform designed to integrate generative AI (GenAI) agents into business applications, enabling dynamic digital interactions, enhanced productivity, and improved performance using large language models (LLMs), natural language processing, and proprietary data. The platform, OutSystems AI Agent Builder, simplifies the development process by combining LLMs, retrieval-augmented generation (RAG), and proprietary knowledge sources, allowing businesses to build GenAI-powered apps without requiring specialized AI expertise. It ensures secure, scalable, and accurate AI implementations by controlling access to models, monitoring performance, and integrating diverse AI models and knowledge sources into a unified platform.
The platform supports a wide range of use cases, including call center optimization, e-commerce translation, revenue intelligence, knowledge discovery, virtual assistants, and employee experience enhancement. For example, it can automate ticket deflection, generate call summaries, and provide personalized product recommendations. It also enables AI-assisted translations, natural language-based knowledge discovery, and virtual assistants capable of handling tasks across various industries, such as customer care, marketing, and software engineering. Additionally, it aids in crafting personalized employee development plans based on skills and performance.
OutSystems AI Agent Builder emphasizes security, scalability, and ease of integration, allowing businesses to deploy GenAI solutions in minutes rather than months. It also provides tools to monitor AI model performance, ensuring trustworthy and accurate results. The platform is ideal for industries looking to innovate with GenAI, offering solutions tailored to specific business initiatives and operational needs. By leveraging advanced AI techniques like LLMs and RAG, it redefines how businesses interact with customers, optimize workflows, and drive innovation.
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