Enterprise Times met with Adrian Murray, Founder & CEO at Fisent Technologies and Brent Baiotto, Chief Operating Officer at Fisent. The company is a provider of Applied Generative AI (GenAI) process automation solutions. Fisent uses GenAI to automate key business processes. As a result, the company delivers Al-enabled solutions to a range of global clients across industry sizes and sectors. With organisations trying to identify ways to effectively embrace AI and GenAI in particular, Adrian and Brent discuss their top five tips for businesses looking to adopt the technology.
1. Get a specialist company to partner
Partner with a specialist company that concentrates on this technology. This is important because the partner can dispel some of the rumours and myths in the sector. There are a lot of challenges that have been solved already that people are still struggling with. AI practitioners already have the answers to many of these issues. However, some enterprises still want to talk about it internally for four months. It is likely that many of these issue have been solved 12 months ago.
2. Find the right use case
Find the right use case. Identify and consider what Gen AI is applicable for in the business. What will the technology be good for? What is the business unit or department trying to achieve? Apply it to the right use cases. Businesses often enquire about business issues that relate to workflow. Those issues may also be about vertical AI, computational and not probabilistic. There are specific use cases that Gen AI should be used for. Similarly, there are issues that it should not be used for.
3. Define the objectives
When you define the use case, clearly define the objectives. Essentially, almost 100% of our clients think mainly about cost savings when applying GenAI to their business environment. However, they can also realise more time-effectiveness, revenue generation, and customer employee experience. GenAI can actually save enterprises time. Many business are able to reassign people to much more meaningful tasks or activities. To better serve the client, to drive faster revenue or time to revenue.
4. Enjoy the pace of innovation
Take advantage of the power and pace of innovation of model development. This is a nuanced point, but it is important. There are a lot of enterprises racing to build their own models. However, the current technology environment is similar to when Moore’s law was noted. AI, and GenAI is going to get astronomically better a year from now. So why would an enterprise today lock themselves into a model that might be obsolete in 12 months? In contrast to building on a foundation provided by companies like Fisent Technologies, where you can take advantage of iterative model development and improvement inherent in the platform.
5. Just start – start small
Start small and find the right use case. Find a use case that will not damage the reputation of the company and nice to get done. The company will learn how to apply AI responsibly and be scalable within the organisation. As a result, the enterprise will eventually develop a list of 30+ use cases of business issues or processes requiring a fix. These use cases will have varying degrees of benefit and complexity. Initially, businesses have to start small.
