So much has been written about how to use ChatGPT
But it repeats itself.
So let’s look at some non-obvious use cases where you could integrate Generative AI into your business processes.
The use-case I collected here are brainstormed with ChatGPT.
Some are where you would have to train your own GPT or LLM, others are where you would be able to use ChatGPT right out of the box and leverage existing models directly.
Because I really wanted it to come up with something unique, but I let you be the judge of that.
My idea was generating personalized sales scripts by using general templates and customer preferences data from a CRM.
By leveraging ChatGPT and other generative AI tools in these ways you can create more value with less effort, personalize customer experiences, and stay ahead in this innovation leap we are experiencing right now.
Evaluating your ChatGPT Ideas
Let’s start with defining how we should evaluate non-obviousness of ChatGPT applications.
It must come from a position of how to leverage this very specific Generative AI, like “ChatGPT”, for a very clear universe, like “in business.”
Then aim for highlighting innovative, non-obvious applications that can create significant value.
To refine and improve your ideas, consider the following suggestions.
1. Focus on Specific Industry Needs
Tailor each application more closely to specific industries' unique challenges and opportunities. By providing concrete examples that address particular industry pain points, you make the use cases more relatable and compelling.
Example: For an automated content creation tool, highlight how it can solve the content volume challenge in the digital marketing industry by generating SEO-friendly articles, thus driving traffic and engagement.
2. Highlight Integration with Existing Systems
Detail how these AI applications can integrate with existing business systems or workflows. Offering guidance on integration can help businesses visualize the implementation process and understand the infrastructure adjustments needed.
Example: For personalized learning and development, explain how an AI-driven system can work with existing LMS (Learning Management Systems) to provide custom content and track progress.
3. Include Metrics for Success
For each application, suggest metrics or KPIs (Key Performance Indicators) that you would use to measure the success of implementing Generative AI in your universe. This adds a layer of practicality, helping evaluate ideas according to goals and assess ROI.
Because you want to be creative around how to climb that mountain, while the choice of mountain is not up for debate.
Example: For enhanced data analysis and visualization, metrics could include time saved in report generation, increase in data-driven decisions, or improvements in customer satisfaction scores.
4. Consider Scalability
Discuss how these AI applications can scale with a business as it grows. Scalability is a critical factor for businesses looking to invest in new technologies.
Example: For interactive customer support, explain how the system can handle increasing volumes of queries through scalable cloud infrastructure and AI model training processes.
5. User Adoption Strategy
Propose strategies for encouraging user adoption and engagement with the new AI features. This could involve user training, incentives, or gamification elements.
Example: For innovative product development ideas, suggest setting up a feedback loop where users can suggest features and vote on the ones they find most valuable, thus engaging them in the development process.
By incorporating these improvements, you can make your ideas more robust, actionable, and aligned with the needs and concerns of potential users.
This will enhance the appeal of your proposals and also increase the practical value to your businesses if you are looking to innovate with AI.
The Obvious Non-Obvious Use-cases
Since Rumsfeld we know of the 2-by-2 evaluation framework of Knowns and Un-knowns
| Known Knowns | Un-known Knowns |
|---|---|
| Known Un-knowns | Un-known Un-knowns |
Well, I think I have to apply that thinking to a 2-by-2 evaluation framework of the Obvious and the Non-Obvious.
I have to categorize some of the Non-Obvious use-cases as Obvious, because they are obvious to mee but when I ask others – and yes I categorize ChatGPT as someone other than me – they don’t seem to think they are obvious.
Here are some non-obvious yet highly effective ways to leverage these technologies as proposed by ChatGPT itself.
Integrating Generative AI like ChatGPT into your business can unlock innovative solutions, enhance efficiency, and create unique experiences.
1. Automated Content Creation for Niche Markets
Train a generative AI model on industry-specific datasets to produce content such as blog posts, reports, and marketing materials that resonate with niche audiences. Use prompts that align with your audience's interests and needs.
A business specializing in sustainable living could use generative AI to create detailed guides, tips, and product reviews that appeal to eco-conscious consumers.
2. Personalized Learning and Development
Develop a learning platform where ChatGPT generates personalized educational content and quizzes based on the user's learning pace, preferences, and performance. Integrate feedback mechanisms to refine the learning paths dynamically.
A tech company could offer its employees AI-powered, personalized coding tutorials that adapt to each learner's skill level and progress.
3. Enhanced Data Analysis and Visualization
Combine ChatGPT with data analysis tools to summarize complex datasets, generate insights, and even suggest visualizations. This approach requires integrating AI with your existing data analytics infrastructure to process and interpret data upon request.
A market research firm could use generative AI to automatically generate insights and narrative reports from data collected through surveys and studies, making it easier for analysts to draw conclusions and present findings.
4. Interactive Customer Support with Deep Context Understanding
Implement an advanced customer support system where ChatGPT not only answers queries but also understands the context of previous interactions, customer preferences, and common issues faced by similar profiles. This involves training the model on your specific customer interaction data.
An online retailer could use this AI-enhanced support to provide personalized shopping advice, resolve issues more effectively, and even anticipate customer needs based on their browsing and purchase history.
5. Automated Compliance and Legal Document Drafting
Use generative AI to draft compliance documents, contracts, and other legal materials by training it on legal language and the specific requirements of your industry. Ensure that a legal professional reviews all documents generated by AI.
A startup could streamline its legal paperwork by using AI to draft terms of service, privacy policies, and employee contracts tailored to its business model, significantly reducing legal fees.
6. Innovative Product Development
Leverage ChatGPT to brainstorm product ideas, improvements, and features by feeding it data on customer feedback, market trends, and competitive analysis. Use these insights to guide your R&D team's efforts.
A mobile app development company could use generative AI to analyze user feedback and suggest new features or changes that would improve user satisfaction and engagement.
7. Dynamic Scenario Planning and Forecasting
Employ generative AI for strategic planning by simulating various business scenarios based on market data, trends, and internal performance metrics. This can help in risk management and identifying new opportunities.
A financial services firm might use AI to predict the impact of economic changes on investment portfolios and advise clients on preemptive adjustments.
8. Creative Advertising Campaigns
Use AI to generate unique advertising concepts, slogans, and visuals that stand out. By inputting your campaign goals, target audience, and brand voice, you can produce creative ideas that might not emerge from traditional brainstorming.
An ad agency could generate fresh and innovative campaign ideas for a client's new product launch, ensuring the messaging resonates with the intended demographic.
Non-obvious Highly effective Ways to Leverage Existing Models
Now, as you’ve seen there are some ideas that require you to train your own model – or at least fine tune it.
So let’s look at these non-obvious use cases where you could integrate Generative AI, into your business processes without the need to train your own model but at the same time would still offer innovative solutions and enhance your efficiency.
Here are some non-obvious yet highly effective ways to leverage existing models directly.
9. Customized Product Descriptions at Scale
Use ChatGPT to automatically generate unique and compelling product descriptions for your e-commerce site. Provide the AI with a template and key product features, and it will produce descriptions tailored to your brand's tone.
An online fashion retailer can input style, fabric, and design details to get product descriptions that highlight the uniqueness of each item.
10. Interactive Storytelling for Brand Engagement
Create an interactive storytelling experience for your brand’s audience. Input the storyline framework and let ChatGPT generate engaging and dynamic story paths based on user choices.
A beverage company could launch a marketing campaign where customers choose their own adventure stories that subtly integrate the product into various scenarios.
11. Efficient Email and Communication Drafting
Utilize ChatGPT to draft emails, reports, proposals, and other forms of communication. Input a brief summary of the points you wish to cover, and let the AI structure and articulate these into a coherent and professional format.
A small business owner can quickly generate personalized responses to customer inquiries, saving time while maintaining a high level of customer service.
12. Real-Time Language Translation for Global Customer Support
Implement ChatGPT for on-the-fly language translation to assist in customer support across different languages. This can help provide immediate assistance to customers worldwide without the need for fluent speakers of every language.
A tech support service can offer real-time chat support in multiple languages, using AI to translate between the customer's language and the support team's language.
13. Creating Educational Content and Quizzes
Generate educational content, tutorials, and quizzes tailored to different skill levels. Input the topic and desired difficulty level into ChatGPT to produce learning materials that can be used in training modules or online courses.
An online education platform can quickly expand its course offerings across various subjects, providing learners with custom quizzes and summaries to reinforce their understanding.
14. Automated FAQ and Knowledge Base Generation
Compile a list of frequently asked questions and use ChatGPT to generate detailed answers. This content can be used to populate a knowledge base or FAQ section on your website.
A software company could use AI to maintain an up-to-date and comprehensive FAQ section, helping users find solutions quickly and reducing the support team's workload.
15. Personalized Recommendations for E-commerce
Enhance your e-commerce platform with AI-generated personalized product recommendations. Input customer browsing and purchase history into ChatGPT, and let it suggest products they might like.
An online bookstore can provide personalized reading recommendations, improving customer satisfaction and increasing sales through targeted marketing.
16. Social Media Content Creation and Management
Use ChatGPT to generate social media posts, responses to comments, and content ideas. This can help maintain an active and engaging online presence with minimal effort.
A restaurant can share daily specials, engage with customer feedback, and create promotional content that resonates with its audience, all through automated AI-generated posts.
17. Scripting and Automating Customer Service Chats
Deploy ChatGPT in customer service chatbots to provide immediate, informative, and friendly responses to common inquiries. This can significantly improve response times and customer satisfaction.
An online service provider can integrate AI into its chat support, offering instant solutions for technical issues, billing questions, and service inquiries.
18. Innovative Project Idea Generation
Use ChatGPT to brainstorm new project ideas, marketing campaigns, or product innovations. Feed it information about current trends, industry needs, and your business goals to generate creative concepts.
A marketing agency can input client objectives and market trends to come up with unique campaign ideas that set their clients apart from the competition.
My non-obvious Idea for Using Generative AI in business: Personalized Sales Scripts
My non-obvious ways to use generative AI with existing models like ChatGPT in your business that can deliver the most leverage, would be using it for sales scripts.
Generative AI can be used to create personalized sales scripts that are tailored to each customer's needs and preferences.
This is a powerful application that can significantly improve sales effectiveness by tailoring communication to individual customer profiles.
For example, you can use a customer's past interactions and preferences to generate sales scripts that are optimized for each customer.
You collect data on a customer's past interactions and preferences in your CRM anyways. You can then use the generative model to generate sales scripts that are tailored to the customer's needs.
Consider implementing A/B testing to refine the scripts continuously. Also, integrating a feedback loop from sales outcomes can help in further personalizing and improving the effectiveness of the scripts over time.
I already got a DM regarding that, so here I have hastily assembled a whitepaper “Personalizing Sales Scripts with ChatGPT for Enhanced Sales Performance” to give you a direction of that idea.
