Since the launch of the Assistants API in OpenAI, creating AI with a knowledge base tailored to specific work contexts has become remarkably straightforward. Using the iPaaS(Integration Platform as a Service, i.e., Runbear, Zapier, Make) solutions, anyone can easily integrate Custom AI into their workspace within a day.
This article delves 11 practical use cases where Custom GPT can be integrated into your workspace to help you with your work, demonstrating just how impactful these cases can be for your work.
11 practical AI use cases you can build in a day
Operation & Human Resources
- Internal Q&A Bot: Immediately reduce the HR team's workload by automating the answers to frequent questions, allowing them to focus on more impactful tasks.
- Contract Review: Quickly scan and analyze contracts with AI, identifying key points and suggesting edits, thereby streamlining operations and legal workflows.
- Resume Review: Enhance your recruitment process with AI that efficiently filters candidates, ensuring you interview only the best fits.
Product & Engineering
- SQL Generation: Custom AI can write SQL queries based on the data catalog for requests made in natural language. This enables employees who are unfamiliar with SQL or have a limited understanding of internal systems to access the needed data easily.
- On-call Buddy: Support your engineering team with an AI assistant that provides instant troubleshooting solutions, improving product quality and customer satisfaction.
