Revolutionizing Decision Management through Generative AI
In today’s rapidly evolving business landscape, staying ahead of the curve requires innovative solutions. Generative AI (GenAI) is one of those innovations that is proving to be a game-changer. This transformative technology is reshaping the way business analysts approach decision management. For business analysts, embracing generative AI use cases in decision management can lead to greater efficiency. Through generative AI, business analysts can automate complex processes and derive actionable insights from vast datasets.
What is Generative AI?
Generative AI, a subset of artificial intelligence, focuses on creating new content rather than simply interpreting existing data. New content can include text, audio, images, and video. For example, ChatGPT is OpenAI’s generative AI tool that enables users to generate text and Dall-E for images. Under the hood are various technologies including a large language model (LLM), a type of artificial intelligence that is trained to recognize, interpret, and respond to human language. LLMs enable natural language querying, the ability to interact with a GenAI tool in your common language. In other words, instead of writing in code, you can interact with a GenAI tool like you would interact with a person over text or chat.
Generative AI Examples
While there are many generative AI use cases, in this blog post we’ll cover four:
- Elicit, Gather, and Document Requirements
- Create Executive and Stakeholder Summaries
- Generate and Optimize Business Rules and Decision Logic
- Explain Business Rules and Decision Logic
Elicit, Gather, and Document Requirements
One of the most challenging jobs for a business analyst is elicitation because it requires drawing goals, requirements, and other key information from various stakeholders with differing opinions. Here’s a great generative AI use case for speeding up the process. Business analysts can leverage AI-powered tools to generate questions, conduct interviews, extract data from stakeholder feedback and existing documentation, and generate a working requirements document. The operating word is “working” because more often than not, stakeholders may not know exactly what they want, but they’ll be happy to tell you what they don’t like when something is presented to them. Therefore, the more you can rely on AI to help you generate the initial requirements document, the more you can focus on refinement.
Create Executive and Stakeholder Summaries
Another challenging job for business analysts is stakeholder management. Effective communication is key to success and an area where generative AI can assist. The same tools that you used to extract data from existing documentation and generate a working requirements document can be used to summarize project charters and other detailed documentation that you’ve worked so hard on putting together. These summaries will be helpful in getting buy-in and sign-off from executives and stakeholders who are primarily concerned with objectives and outcomes and not the implementation itself.
Generate and Optimize Business Rules and Decision Logic
Now onto the nitty gritty of decision management. Business analysts traditionally spend considerable time manually crafting and updating business rules to align with changing market dynamics. Generative AI can empower business analysts to simplify the rule-generation process. Like with extracting data from documentation, AI-powered tools can analyze historical data, identify patterns, and generate rules that reflect real-time business conditions. Below is a quick example on how you can use AI Assistant, our interactive GenAI-powered tool, to “write” rules in our SMARTS™ decision management platform.
Explain Business Rules and Decision Logic
More often than not, business analysts will be inheriting an existing project with rules that they did not write. Again, generative AI can summarize and explain what the rules are doing and bring analysts up to speed faster. In some instances, GenAI will be able to point out any errors or inconsistencies. Learn how you can use AI Assistant to explain decision logic and simplify the overall decision management process in our “Authoring and Managing Business Rules with Generative AI” webinar.
GenAI as Your Summer Intern
it’s important to note, especially during the early phases of generative AI, that any tool that you use should be treated as a summer intern. Whatever the tool produces should be treated as a first draft that needs to be reviewed by you. Fortunately, revising a first draft is much easier than writing a first draft. So while these AI-powered tools are not perfect, business analysts that embrace generative AI will boost their productivity and effectiveness.
Learn why business analysts love Sparkling Logic’s SMARTS™ Decision Management Platform.