At Saascoms, we’ve been early innovators of Conversational AI, having won two awards for our AI and ‘Machine Learning’ capabilities within the Credit & Collections Industry.

We saw the revolutionary benefit of the tech and whilst open Large Language Models (LLM’s) play a vital role in advancing AI research and fostering innovation through collaboration, we knew the value for Conversational AI would be in creating and leveraging closed LLM’s .

BUT, and this may be contentious, has conversational AI now matured? Is it now as good as we are ever going to get? Are the media and tech firms motivation for the continual promotion of AI any different to the Tulip Crisis of the early 17^th century, or the dot-com bubble of the early noughties? That is, are we just jumping on the bandwagon rather than look at reality?

The recent stock market adjustments in the US indicate this is a strong possibility. At Saascoms, we also believe there is a strong argument that this is the case, but why?

We know that you need to operate with a closed LLM to ensure that safety, accuracy, compliance and company alignment are followed. In the early stages, there was an abundance of ‘new’ data, at Saascoms we have seen and analysed over 150 million customer interactions. But, the ‘new’ interaction data from customers may have peaked. Think about it, how many ‘new’ ways are your customers asking your business questions?

Without diverse and evolving interaction data, AI systems will struggle to evolve, meaning how AI is currently deployed in your business now will be no different in two to three years.

It is estimated that Chat GPT 5 will need five times more data than GPT 4 holds to become the next version, and this is open-source data available from every source on the web.

Consider your business process when interacting with your customers. Is this changing? Do your customer responses materially differ from a few years ago? Do you see a big shift in how you treat and deal with your customers?

While it might seem that conversational AI for business operations has peaked, this doesn’t spell the end of its potential benefits. There are many aspects of our customer interactions that AI can help with, from automating simple requests, personalising customer interactions and efficient communication routing.

Our conversational AI platform, Omnireach can even support multiple languages for multilingual customers.

Conversational AI is here to stay, and many of our clients using Omnireach see an increase in customer engagement performance and cost-saving efficiencies, so if you have been waiting for Conversational AI maturity, then now might be your time to engage.

The future of conversational AI is not coming tomorrow, it is here today.