Leading Telecom Company Reimages Risk Analysis with Generative AI
A major telecommunications provider needed to modernize its risk and compliance operations due to outdated dashboarding tools requiring high maintenance and offering limited flexibility. As data volumes and real-time insights expectations grew, analysts struggled with the current systems that required extensive technical expertise and long lead times to access information. To address these challenges, they partnered with Bounteous to explore using Generative AI and large language models to enable direct, conversational interaction with data. This aimed to reduce dependence on technical teams and speed up decision-making.
- Artificial Intelligence & Machine Learning
Business Issue
The existing dashboard infrastructure was largely static, so any ad hoc changes or updates required involvement from development teams. This created delays, increased operational costs, and prevented analysts from adapting quickly to new compliance challenges or emerging risks.
Data queries were also limited to pre-set configurations, with little room for customization unless rewritten in code. Analysts often had to rely on technical staff just to extract or visualize insights—slowing down workflows and reducing their ability to proactively address issues. The lack of real-time interactivity and flexibility significantly impaired operational efficiency, leading to a fragmented process prone to delays and increased compliance risk.
Solution
To overcome these limitations, Bounteous worked with the client to deploy a “Dashboarding Copilot” solution powered by Generative AI.
This new tool integrated advanced large language models with NL2SQL capabilities, allowing users to type natural language questions into a chat interface and receive instant, accurate responses. The system automatically understood the relational database schema, enumerations, and data dictionary, enabling it to construct and execute the correct SQL queries behind the scenes.
The new dashboard provided an integrated charting engine that dynamically rendered visualizations based on the query type, giving users an interactive, intuitive experience with zero need for programming knowledge. Analysts could now explore data conversationally by asking questions, identifying trends, and uncovering compliance gaps in real time. This shift made data exploration more accessible, more insightful, and significantly faster.
Outcomes
The new GenAI-powered dashboarding solutions led to a 30% reduction in both time and cost across the software development and analytics lifecycle. Analysts were freed from the constraints of static dashboards and can now explore data independently, resulting in faster, more informed risk assessments.
The intuitive interface increased adoption across teams and improved operational efficiency by removing technical barriers. Additionally, the organization benefited from improved consistency in how compliance data was accessed and interpreted, enhancing audit readiness and reducing overall risk due to human error. This transformation is a major step forward in intelligent risk management—establishing a scalable, future-ready foundation for AI-driven compliance across the enterprise.
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