Introducing: CustomGPT Deployment Options, From Prototyping To ROI

Well – it’s time to take this AI thing and start putting it to work for real business use cases and ROI, right? 

You are not alone — the deployment of AI systems like CustomGPT has begun and early adopters are starting to see real gains. From private equity investors to companies looking to make a real impact on their business, rolling out generative AI for use cases like customer support and workflows is in full swing. 

Case in point: MIT brought together all their knowledge around Entrepreneurship and is now able to dramatically speed up the distribution of that knowledge. Ninja tip: The chat logs are a goldmine of customer intelligence and content analytics (e.g. what content is missing from your knowledge base?) 

But the big question is: With all these million things happening in AI, what should you concentrate on first? 

The short answer (we are seeing this across the board!) : Customer Support and Employee Efficiency. 

Here are some simple rules and schedule for deployment: 

1. Start with Customer Support — build a CustomGPT chatbot with helpdesk and public data and let employees use it first. When satisfied, roll it out to customers. This is easy low-hanging fruit. 

2. Think about workflows, both manual or automated, where you can benefit from Generative AI with your custom knowledge base. How can it improve employee effiency or improve customer satisfaction? You can do this with no-code or with 3 lines of python code.  

3. Put it in front of customers — nobody wants to do keyword searches or browse lengthy articles on websites and helpdesks anymore. Watch the intelligence you gather via the chat logs. The chatbot on our website and the LiveChat in the bottom-right are good  examples — they are a critical part of lead generation and customer intelligence for us now. 

Yes – I know this is super confusing — an entire conference hall of C-suite executives at Generative AI World in Boston was clueless about how to proceed with generative AI — and it’s their job to be the ones to know. 

The good news: We are scaling up our customer success team and are right here with you to help you deploy these solutions. You ready? Book A Call

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