How to Get Real AI Business Ideas Outside of ChatGPT

Published on
September 19, 2025
How to Get Real AI Business Ideas Outside of ChatGPT
Unlock AI's true potential. Learn why ChatGPT falls short for business and discover the most promising AI opportunities today.

The AI landscape is evolving at a lightning-fast pace. While tools like ChatGPT have captured the public's imagination, many of them come and go just as quickly. The biggest misconception in AI today is that ChatGPT is the “end-all, be-all” solution for every business problem. 

"
Ever since AI exploded onto the scene a couple of years ago... it seems like ChatGPT is the answer to everyone's questions, the answer to everyone's problems
"
Andrew Amann
Ashley McKenney
Product manager at NineTwoThree

While it’s great for simple tasks, relying on it for complex business operations can lead to inaccurate, frustrating, and even dangerous results.

For companies seeking real, measurable ROI, the most impactful AI business ideas go far beyond a simple call-and-response chatbot. So, we’ve prepared this guide to show the smart use of AI, and what organizations are focused on today.

The Problems with General-Purpose AI for Business Ideas

General-purpose models like ChatGPT might be okay for personal use, but they come with significant risks when applied to business:

  • Inaccuracy and "hallucinations." A raw, not customized large language model can become incredibly inaccurate very quickly. This is because it is prone to "hallucinating," or making up information, which makes it untrustworthy for critical business functions where accuracy is essential. 
  • Security and control issues. Simply copying and pasting sensitive information into an unsecured window is a "security nightmare". Many companies are realizing that they need a controlled, internal chat experience for employees that is safer and operates with defined guardrails.
  • A Lack of human-centricity. Relying on a basic chatbot can lead to a frustrating experience, a phenomenon our CEO Andrew Amann calls the "uncanny valley," where the user gets "so close to getting the correct answer that we get so frustrated in the last 5% of the answer". The best solutions are built to enhance human work, not just mimic it.

The Most Promising AI Business Opportunities Today

Instead of a one-size-fits-all chatbot, the most valuable AI business opportunities are being built into custom applications that address specific, high-value problems. These solutions create "layers under the hood that... increase accuracy" and are becoming a core part of business operations.

1. Building AI into Already-Owned Tools

The most popular use case today is integrating AI directly into a company’s existing tools and systems. This creates a secure, internal, and guard-railed AI experience for employees that solves security concerns. 

"
Building AI Models Into Already Owned Tools... Companies are getting smart. They are realizing copy/pasting prompts to an unsecure window is an uncontrolled security nightmare. Worse, employees are spending copious amounts of time creating their own 'perfect project' that houses all the company information
"
Andrew Amann
Andrew Amann
CEO and Co-Founder at NineTwoThree

2. The Return of the Knowledge Base with AI Agents

AI agents are software systems that use AI to pursue goals and complete tasks on behalf of users. A key trend is the return of knowledge bases, which add context to prompts, a process known as retrieval-augmented generation (RAG). The new innovation is combining that knowledge base with autonomous action. 

This allows agents to operate autonomously within a business, going beyond a simple chat response to perform actions based on a company's data and rules.

3. Form Fillers and Workflow Automation

One of the most powerful and practical AI business ideas is automating the mundane, repetitive tasks that consume a huge amount of corporate time. This includes tasks like filling out forms or taking data from one place and moving it to another. These are "no-brainer" projects that AI agents can easily handle, freeing up human employees for more valuable work.

"
Filling out forms is one of the worst UI / UX experiments humans have ever endured. We’ve all sat in the Dr's office wondering, 'Don't they already know all of this about me?
"
Andrew Amann
Andrew Amann
CEO and Co-Founder at NineTwoThree

4. Automating Employee Communication

AI can now facilitate a new form of communication within a company. Using voice models and human-like LLMs, an AI can trigger a call or text to an employee based on specific data signals. For example, a dispatch system for truckers, or an AI that helps with purchase orders or scheduling. The AI can gather and aggregate information and hold a conversation with an employee until the issue is resolved.

"
There are signals in the data that usually trigger an employee to call another employee. Dispatch for truckers is a perfect example. But so is purchase orders for overseas parts, scheduling questions for line workers, or calendar updates for house visits. All of these situations can now be handled by one AI asking the human questions until the answer is resolved
"
Andrew Amann
Andrew Amann
CEO and Co-Founder at NineTwoThree

How to Vet Your Next AI Project

To find a real AI business opportunity, you must move beyond the allure of a simple chatbot and focus on what a real partnership can build. Ashley McKenna recommends looking for "repetitive tasks that take a lot of time" and then considering the following:

  • What is the problem? You cannot have a good solution without first identifying a real problem.
  • Is it repetitive? Look for repetitive tasks that your team is doing, how many people are doing it, and how long it takes them.
  • Is it technically feasible? The project must be a process or task that can be automated or be brought very close to automation.
  • Does it have a high ROI? The investment in building a custom solution must provide a positive, compounding impact on the company’s balance sheet year after year. The goal is a "seven figure return from a six-figure investment".
  • Is it a core function? The project should affect a core feature of your business, not just a one-off problem for a single employee.

By focusing on these principles, CEOs are getting smarter and more insightful about what is possible with AI. As a team that has built a stable of successful solutions, we know when a project has the potential for success and provides a real ROI.

Ready to Find Your Next AI Project?

Navigating the AI landscape is a big decision, and it can be scary for even the most experienced builders. We believe in a collaborative partnership and transparency from the very beginning.

If you have a project idea, we can help you vet it and determine if it's the right time for an investment.

Book a discovery call with our team here to get started.

The AI landscape is evolving at a lightning-fast pace. While tools like ChatGPT have captured the public's imagination, many of them come and go just as quickly. The biggest misconception in AI today is that ChatGPT is the “end-all, be-all” solution for every business problem. 

"
Ever since AI exploded onto the scene a couple of years ago... it seems like ChatGPT is the answer to everyone's questions, the answer to everyone's problems
"
Andrew Amann
Ashley McKenney
Product manager at NineTwoThree

While it’s great for simple tasks, relying on it for complex business operations can lead to inaccurate, frustrating, and even dangerous results.

For companies seeking real, measurable ROI, the most impactful AI business ideas go far beyond a simple call-and-response chatbot. So, we’ve prepared this guide to show the smart use of AI, and what organizations are focused on today.

The Problems with General-Purpose AI for Business Ideas

General-purpose models like ChatGPT might be okay for personal use, but they come with significant risks when applied to business:

  • Inaccuracy and "hallucinations." A raw, not customized large language model can become incredibly inaccurate very quickly. This is because it is prone to "hallucinating," or making up information, which makes it untrustworthy for critical business functions where accuracy is essential. 
  • Security and control issues. Simply copying and pasting sensitive information into an unsecured window is a "security nightmare". Many companies are realizing that they need a controlled, internal chat experience for employees that is safer and operates with defined guardrails.
  • A Lack of human-centricity. Relying on a basic chatbot can lead to a frustrating experience, a phenomenon our CEO Andrew Amann calls the "uncanny valley," where the user gets "so close to getting the correct answer that we get so frustrated in the last 5% of the answer". The best solutions are built to enhance human work, not just mimic it.

The Most Promising AI Business Opportunities Today

Instead of a one-size-fits-all chatbot, the most valuable AI business opportunities are being built into custom applications that address specific, high-value problems. These solutions create "layers under the hood that... increase accuracy" and are becoming a core part of business operations.

1. Building AI into Already-Owned Tools

The most popular use case today is integrating AI directly into a company’s existing tools and systems. This creates a secure, internal, and guard-railed AI experience for employees that solves security concerns. 

"
Building AI Models Into Already Owned Tools... Companies are getting smart. They are realizing copy/pasting prompts to an unsecure window is an uncontrolled security nightmare. Worse, employees are spending copious amounts of time creating their own 'perfect project' that houses all the company information
"
Andrew Amann
Andrew Amann
CEO and Co-Founder at NineTwoThree

2. The Return of the Knowledge Base with AI Agents

AI agents are software systems that use AI to pursue goals and complete tasks on behalf of users. A key trend is the return of knowledge bases, which add context to prompts, a process known as retrieval-augmented generation (RAG). The new innovation is combining that knowledge base with autonomous action. 

This allows agents to operate autonomously within a business, going beyond a simple chat response to perform actions based on a company's data and rules.

3. Form Fillers and Workflow Automation

One of the most powerful and practical AI business ideas is automating the mundane, repetitive tasks that consume a huge amount of corporate time. This includes tasks like filling out forms or taking data from one place and moving it to another. These are "no-brainer" projects that AI agents can easily handle, freeing up human employees for more valuable work.

"
Filling out forms is one of the worst UI / UX experiments humans have ever endured. We’ve all sat in the Dr's office wondering, 'Don't they already know all of this about me?
"
Andrew Amann
Andrew Amann
CEO and Co-Founder at NineTwoThree

4. Automating Employee Communication

AI can now facilitate a new form of communication within a company. Using voice models and human-like LLMs, an AI can trigger a call or text to an employee based on specific data signals. For example, a dispatch system for truckers, or an AI that helps with purchase orders or scheduling. The AI can gather and aggregate information and hold a conversation with an employee until the issue is resolved.

"
There are signals in the data that usually trigger an employee to call another employee. Dispatch for truckers is a perfect example. But so is purchase orders for overseas parts, scheduling questions for line workers, or calendar updates for house visits. All of these situations can now be handled by one AI asking the human questions until the answer is resolved
"
Andrew Amann
Andrew Amann
CEO and Co-Founder at NineTwoThree

How to Vet Your Next AI Project

To find a real AI business opportunity, you must move beyond the allure of a simple chatbot and focus on what a real partnership can build. Ashley McKenna recommends looking for "repetitive tasks that take a lot of time" and then considering the following:

  • What is the problem? You cannot have a good solution without first identifying a real problem.
  • Is it repetitive? Look for repetitive tasks that your team is doing, how many people are doing it, and how long it takes them.
  • Is it technically feasible? The project must be a process or task that can be automated or be brought very close to automation.
  • Does it have a high ROI? The investment in building a custom solution must provide a positive, compounding impact on the company’s balance sheet year after year. The goal is a "seven figure return from a six-figure investment".
  • Is it a core function? The project should affect a core feature of your business, not just a one-off problem for a single employee.

By focusing on these principles, CEOs are getting smarter and more insightful about what is possible with AI. As a team that has built a stable of successful solutions, we know when a project has the potential for success and provides a real ROI.

Ready to Find Your Next AI Project?

Navigating the AI landscape is a big decision, and it can be scary for even the most experienced builders. We believe in a collaborative partnership and transparency from the very beginning.

If you have a project idea, we can help you vet it and determine if it's the right time for an investment.

Book a discovery call with our team here to get started.

Alina Dolbenska
Alina Dolbenska
color-rectangles

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