AI for Sales & Service Guide
How Federal Agencies Can Drive Productivity & Efficiency
USE CASE 1
Even when addressing point issues, operations personnel frequently need to reference long, complex documents, such as equipment manuals, safety policies, and operations procedures. Pryon Ingestion Engine and Pryon Retrieval Engine can be paired with generative LLMs to give staff members an easy way to get timely answers using natural language. For instance, a production supervisor can ask a Pryon-powered chatbot, “What is the normal gas temperature range for a Babcock & Wilcox Universal Pressure boiler?” and get an instant answer from the right document.
USE CASE 2
Personnel managing drilling operations are forced to pore through an extensive set of data when making optimization decisions. This information can come from a variety of sources, including geological surveys, field reports, IoT sensors, and drilling history. Rig managers and drillers need timely access to answers from this wide and ever-changing body of unstructured content to make well adjustments that optimize production and reduce incidents such as fishing. Pryon’s retrieval-augmented generation (RAG) chatbots can extract knowledge from extensive well-related content and provide it to drilling and engineering teams in a generative AI-based conversational interface.
USE CASE 3
Energy companies have to comply with a broad set of lengthy regulations that are constantly evolving. This is especially true for multinational companies that have to comply with different regulatory regimes. Pryon’s RAG Suite can help teams interface in natural language with external regulatory policies, internal procedures, best practices, and reporting standards. With Pryon, compliance officers and operational managers can get accurate and instant answers to their regulation-related questions, saving time and ensuring they’re in compliance with the latest policies.
Request a demo.