10 Tangible and Quantifiable Benefits Of GenAI

In the ever-evolving landscape of business operations, the integration of advanced technologies plays a pivotal role in enhancing efficiency and productivity. A technology that is currently making a lot of noise is Generative AI (GenAI), particularly Large Language Models (LLMs). Leveraging these models opens a myriad of opportunities for businesses, especially in the realms of customer-supplier management.

We’ll explore 10 tangible and quantifiable use cases that showcase the transformative power of GenAI.

1. Executive Summarises Made Effortless.

Crafting executive summaries can be a time-consuming and often frustrating task. With GenAI, the process becomes a breeze. Simply provide the model with the details of your extensive report, and watch as it effortlessly generates a concise and readable summary. Specify a word count range to achieve the perfect balance between brevity and comprehensiveness. Brooklyn’s latest AI capability, ‘Ask Brooklyn,’ is a prime example of how GenAI can revolutionise executive summarisation.

Watch ‘Ask Brooklyn’ in Action

2. Insightful Reports with GenAI

AI isn’t limited to summarisation; it excels in generating comprehensive reports. By feeding the model with structured data from past activities, you can specify a recommended report structure. This ensures consistency in output, covering elements such as High Points, Low Points, Past, and Future Activities. The result is a reliable and insightful report, showcasing GenAI’s efficiency as a valuable tool for in-depth analysis.

3. Streamlining Itineraries, Action Plans, and Meeting Agendas

LLM isn’t just about data analysis—it’s a versatile tool for orchestrating sets of data or actions. Provide the model with the context of what needs to be worked through, and it can craft detailed itineraries, action plans, or meeting agendas. This ensures that all relevant information is covered, and tasks are organised by ownership and due dates.

4. Copywriting/Rewriting with Precision

Transform inadequately composed texts into well-structured documents effortlessly. Whether it’s notes from contributors, meeting transcripts, or dictation transcripts, GenAI can generate polished reports, emails, blogs, memos, or white papers. Articulate your requirements through a well-constructed prompt, and witness the model’s ability to refine and enhance your content.

5. Creating Immediately Usable Schemas

For platforms or apps using established schemas, AI streamlines the process of generating configurations. Provide detailed prompts explaining the schema’s intricacies using documentation and examples. The result is a response formatted for your specified schema, producing a usable template for platform configuration, ideal for website forms and surveys.

6. Simplifying Text Formatting

LLM systems excel at basic text formatting. When presented with large blocks of text, instruct the model to organise it into paragraphs or break it into bulleted or numbered points. This simple yet effective use case saves time and resources, ensuring content is presented in a reader-friendly format.

7. Gaining Insight and Understanding

Seek the opinion of AI on specific texts, conduct comparative analyses, and request conclusive assessments. This is particularly useful for clauses in legal documentation, where detailed insight and understanding can be obtained. LLM provides a starting point for discussions and decisions.

Looking to learn more about AI? 

In our latest whitepaper, Nick Francis, CTMO at Brooklyn Solutions, deep dives into the history of AI, and why is now the time to start incorporating it into your strategy. Following on from this discussion of when not to use AI, the whitepaper touches upon the tangible and quantifiable benefits of GenAI in Customer-Supplier Management if used in the right way. To learn more, download our whitepaper for the ultimate GenAI guide.