The author illustrates this combination using the example of claims handling in insurance. An LLM can power a chatbot to interact with customers, gather necessary information, and call the digital decisioning system for an official decision. This approach provides customers with an easy-to-use, human-centric interaction while ensuring the decision is accurate, transparent, compliant, and reliable. The author concludes that LLMs are a powerful technology that can complement, rather than replace, expert-based decisioning solutions.
Key takeaways:
- Large Language Models (LLMs) and generative AI have seen a significant increase in interest due to their ability to manage complex problems, summarize complex documents, and generate readable text.
- Despite their potential, LLMs pose risks such as lack of transparency in decision-making, potential non-compliance with regulations, and the possibility of providing incorrect responses.
- Digital Decisioning systems can complement LLMs by providing expert knowledge in software, ensuring transparency, repeatability, and compliance in decision-making.
- Combining LLMs with Digital Decisioning systems can provide an AI-driven interactive experience for customers, while maintaining the accuracy and reliability of expert-based decisioning solutions.