Large Language Models (LLMs) are revolutionizing businesses by optimizing operations and enhancing user experience, while presenting potential risks that can be effectively managed through expert guidance. At the same time, this significant disruption has motivated supervisory bodies to accelerate various regulations such as the European Union’s AI Act or the United States' AI Bill of Rights.
LLMs (Large Languaje Models)
At Management Solutions, we stand at the forefront of this revolution, enabling our clients to harness the full potential of LLMs under responsible, ethical use and compliance with upcoming regulations.
Our value proposition has three blocks:
- LLM strategy and compliance: thanks to our understanding of the context, regulations, and supervisory expectations, coupled with a strong technical knowledge of LLMs and their deployment, we support our clients in the development of their LLM framework. This involves the definition of goals, use cases and a roadmap, as well as the development and implementation of policies covering ethical considerations and data protection, which will lead to compliance with AI regulations.
- Enhancing processes with LLMs: regarding the development and deployment of LLMs, we assist our clients in creating and deploying LLMs, leveraging our accelerators for swift deployments. We also help clients in integrating LLMs into their established processes and in training their professionals.
- LLMs validation and monitoring: finally, we support our clients in validating, measuring, evaluating, and monitoring the LLMs performance, developing and implementing comprehensive metrics and KPIs, recommending enhancements to LLM strategy, usage, and integration processes.
All of this allows us to support our clients in all industries in the development, deployment, application, and validation of LLMs in their daily processes, and specifically in numerous use cases, such as:
- Customer and workforce intelligence: applications to enhance the customer experience and customer journey with tailored marketing campaigns, chatbots, and sentiment analysis. This also includes understanding workforce dynamics better with AI-driven people analytics and CV screening.
- Efficiency and operational enhancement: cross-cutting use cases to streamline processes with solutions for document handling, automated report generation, AI-driven data quality checks, code translation, or biometric authentication, among many others.
- Risk and compliance: LLMs applied to financial and non-financial risks, from automation of credit risk analysis to monitoring market abuse in trade data, and to process industrialization and evaluation of LLMs.