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June 4, 2025
The new service infrastructure for an AI-driven economy
myservy and the Future of Artificial Intelligence: How a services platform is laying the groundwork for the next generation of AI applied to the real world
myservy and the Future of Artificial Intelligence: How a services platform is laying the groundwork for the next generation of AI applied to the real world
The so-called service economy now accounts for more than 65% of global GDP and continues to grow as industrial, public and digital sectors migrate towards experience-, operation- and care-based models. In this new paradigm, value lies not only in physical products or assets, but in how services are delivered, automated and connected. Artificial intelligence will play a decisive role in this transition, and myservy is positioned as one of the most relevant technological enablers of this global evolution.
Artificial intelligence is advancing at great speed, but its real impact depends on one critical condition: structure. For an AI to understand, anticipate and act on the world, it needs more than data; it needs semantic frameworks, clear relationships and application contexts.
The key is this: AI needs structure, context and actionable data to learn, predict and make useful decisions. Today, while the digital world is advancing in generative AI for content, there is still no global, structured infrastructure for human and organizational services.
In this article, we explore how myservy, a service structuring and automation platform, is actively contributing to the development of a new generation of AI applied to services.
myservy is a platform designed to index, structure and operate services in any industry or geography. Its architecture is based on two key engines:
This framework not only digitizes services, but creates the basis for AI to operate on them with precision.
myservy introduces the concept of service indexing: a system for representing, classifying and relating human services in a structured, dynamic and actionable way. Just as search engines index information and marketplaces index products, myservy builds a relational and semantic foundation of services that allows AI systems to understand and operate precisely on them.
This process turns each service into a rich digital object, with data, rules, context, visibility and transactional logic, which can be activated by humans, systems or intelligent agents.
1. Semantic structure for AI learning
myservy converts services into objects with rich metadata (types, attributes, rules, context). This structured semantics allows AI algorithms to understand the service, recommend it, personalize it and activate it.
2. Real and contextualized data
The platform generates rich datasets from real interactions: searches, bookings, collections, feedback, fulfillment. This enables the training of more accurate models, verticalized by industry.
3. Auto-generation of services with prompts
myservy enables providers to create services from natural language. Through SIA, AI interprets a prompt and builds the complete service: name, attributes, pricing rules, visibility and transactional logic.
4. Connection between AI and operational execution
myservy connects the output of AI models with real action flows. For example, an AI can identify a need, myservy triggers service contracting, initiates charging and manages the order.
5. Cross-cutting applicability: from startups to smart cities
myservy's model allows structuring services in sectors as diverse as:
This positions the platform as a key enabler of the AI-driven future, beyond digital commerce.
The advancement of artificial intelligence depends on its ability to interact with the real world effectively. myservy provides that necessary structure, creating a platform on which AI not only learns, but acts. In this sense, myservy is not just adapting to the future of AI, it is building it.
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