Problem Managers spend a lot of time searching for specific production data that isn’t covered by standard reports or dashboards. For example, queries like “Why did well #X experience a drop in production in June?” or “Compare the production trends at Field XYZ over the last quarter” require manual data analysis. This leads to delays: - To answer non-standard questions takes hours or even days. - Employees are overloaded with routine analytical tasks (data filtering, chart creation). - Decisions are made slowly due to a lack of timely information.
AI assistant can: • Accept questions in natural language, clarify details, and quickly find the required production data in the database. • Build graphs and visual reports in real time based on the retrieved data. • Perform rapid screening for anomalies over selected time periods, flagging unexpected changes in key indicators.
Expected result • Faster access to information: responses to ad-hoc inquiries including visualizations take only a few minutes not hours. • Reduced routine analytics by about 70%, as many standard queries are processed automatically. • Quicker and more confident decision-making thanks to fast analytics delivered directly through the dialogue with the AI assistant.