Research

Generative AI will change the nature of how we interact with all software. And given how many brands have significant software components in how they interact with customers, generative AI will drive and distinguish how more brands compete.

Now, with generative AI, personalization will go even further, tailoring all aspects of digital interaction to how the customer wants it to flow, not how product designers envision cramming in more menus and features. As the software follows the customer, it will go to places that range beyond the tight boundaries of a brand’s product. You will need to offer solutions to things the customer wants to do. Solve the full package of what they need and help them through their full journey to get there, even if it means linking to outside partners, rethinking the definition of your offerings, and developing the underlying data and tech architecture to connect everything involved in the solution.

Generative AI can create—generate—text, speech, im- ages, music, video, and especially code. When that capability is joined with a feed of a person’s own information and used to tailor the when, what, and how of an interaction, then the ease with which that person can get things done and the broadening accessibility of software goes up dramatically. 

The evolution of Generative AI has opened the door to great opportunities across enterprises, particularly regarding Gen AI agents that plan and perform tasks or aid humans by delivering specific services on their behalf.

Solving for a customer’s complete needs will require pulling from information across your company and likely beyond your boundaries. One of the biggest challenges for most applications-and actually, for most IT departments-is bringing together data from disparate systems.

We at Patag Labs are working on

• Building crucial data-driven algorithms for growth, and improving customer experience.
• ERP AI agents to transform your business operations and improve customer experiences.