Gen AI Solution Design: A Guide Beyond ChatGPT

Almost every business leader in the UK has experimented with public AI tools like ChatGPT. We’ve used them to draft emails, brainstorm ideas, and see what the technology can do. But after the initial curiosity, the serious question arises: “What’s next?”

The true sustained value of generative AI is not in a public chat window. It’s unlocked when you create a custom gen AI solution that operates securely on your own private data, understands your business, and is designed to solve your specific challenges. This is the shift from casual experimentation to building a true competitive advantage.

The public AI sandbox: great for learning, risky for business

Public AI tools are a fantastic introduction, but they have critical limitations when it comes to serious business use. Relying on them for core operations introduces three major risks:

• Data Privacy & Security:

You can not and must not input your sensitive customer lists, your financial information, or your company’s strategic plans into a public AI. To do so is to risk exposure of proprietary information in an unacceptable way.

• Lack of context:

Public AI does not know your business. It can not answer specific questions about your own products, your own internal processes or your clients. Its knowledge stops where your private company data begins.

• Generic outputs:

Because they are all trained on the public internet, they are all designed to produce average or generic output. They can not reflect your own unique voice or operate in a determined manner within your own company workflows.

What a custom gen AI solution looks like in action

Moving beyond the public sandbox means building an AI that works exclusively for you. These private, custom gen AI solutions solve the problems of risk, context, and quality.

Unlock instant business insights

Instead of asking a public tool a generic question, your finance director can ask your private AI: “Summarise the key points from our last three board meetings regarding the Q4 budget and list the top five highest-performing sales reps in that quarter.” The AI securely accesses your private documents and CRM to give a precise, instant answer.

Streamline internal knowledge & onboarding

Instead of a generic HR bot, you have an AI trained on all your internal policies. A new hire can ask, “What is the process for submitting a project proposal to the London office?” and get an exact, step-by-step guide based on your company’s rules.

Generate perfectly on-brand content

A custom AI can be trained on your specific brand voice and marketing materials to draft new ad copy or social media posts that are perfectly on-brand, not generic.

The four stages of Gen AI Solution Design

Creating these powerful tools is not about just connecting to an API. True gen ai solution design is a deliberate business process that involves:

1. Finding the right problem: It all starts with a conversation to pinpoint a single, high-value process that needs improvement. Clear goals are defined at this stage, so success can be measured from the very beginning.                                                                 
2. Building the ‘brain’: The next step is to select the right AI model and securely train it on private company data. This gives the AI real context about the business, all while keeping sensitive information completely safe.
3. Creating the user experience: An AI needs a user-friendly application to interact with the team. This stage involves building that interface (like a chat window) and connecting it to the software the business already uses every day.
4. Testing and refining: Before going live, strict rules are put in place to ensure the AI is reliable and safe. The solution is then tested with real users to gather feedback and confirm it’s a genuinely helpful tool for the business.

From experiment to advantage

Experimenting with public AI is a good first step. But building a competitive advantage means moving beyond the sandbox. The real opportunity lies in creating a custom, proprietary gen AI solution that amplifies your team’s strengths, protects your data, and operates with a level of context your competitors simply cannot replicate.

Ready to explore what a custom Gen AI solution could do for your business? 

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FAQ

Q: How is a custom solution different from a ‘ChatGPT for Business’ subscription?

 A: A business subscription gives you private access to a generic tool. A custom solution is built specifically for your workflows and integrates with your existing systems.

Q: Is it safe to use our private company data with a custom Gen AI solution?

A: Yes. A custom solution is built in a secure, private environment. Your proprietary data is used only for your model and is never exposed to the public.

Q: Do we need to be AI experts or have a data science team to start? 

A: Not at all. You need to be the expert on your business challenges, while a partner like Imobisoft provides the technical AI expertise to design and build the solution.

Q: How long does it take to see results from a custom Gen AI solution? 

A: By using an MVP approach that solves your biggest problem first, a working solution can be live in a matter of weeks, delivering an almost immediate return on investment.