Part 7/13:

The discussion moved toward the importance of building a solid technological foundation. AI adoption hinges on domain-specific data and process depth—without understanding the context and intricacies of particular business functions, AI solutions will fall short. Use cases in data entry, prompt engineering, search optimization, data analytics, and process automation are now clear and visible.

Emerging solutions are increasingly domain-driven, allowing organizations to integrate AI with existing processes rather than starting from scratch. The evolution from RPA to conversational AI and now agentic solutions underscores an ongoing continuum—each layer building upon the previous one to provide smarter, more autonomous systems.