Microsoft CEO Satya Nadella’s bold prediction—that AI Agents will replace all SaaS—signals a fundamental shift in business operations. The traditional SaaS model, built on database “CRUD” (Create, Read, Update, Delete), is being rapidly deconstructed. Entering this revolutionary space is VPS (Vantage President Suite), an advanced AI Assistant and product matrix built into VERTU phones. VPS is not merely an app; it embodies this paradigm shift, enabling a new business model: “one person with one phone = one company” through its 33 primary categories and 147 services. This integrated approach is especially vital for SME owners, dramatically enhancing efficiency and reducing the need for large HR departments.
The Core of AI Enterprise Value: A Data-Centric Approach
The key to creating enterprise value with AI lies intrinsically in data. As industry expert Wang Sai suggests, enterprises must establish a ‘trinity pathway' paradigm:
- Digital Systems (Perceiving Data): Collecting raw, real-world data.
- Training Big Data (Thinking Data): Processing and internalizing that data.
- Obtaining Result Data (Implementing Data): Translating insights into tangible business actions.
VPS is built on this very concept, constructing a complete data intelligence ecosystem. This ensures that the potential of AI is transformed into concrete, measurable business value, making it a powerful AI Assistant for SME leaders.
Shifting the Data Paradigm: From Structured to Unstructured Thinking
For decades, traditional data systems were human-centered and focused on structured data—an effective way to extract key information when human and program information processing was limited. Data quality was measured primarily by accuracy, timeliness, and completeness, often built with ER models.
However, the AI era demands a different viewpoint. As Wang Sai highlights, the key is to view data from the perspective of the AI Agent, with an unstructured viewpoint. AI's understanding focuses heavily on semantics, context, and global associations. This means the most valuable data for large models is unstructured, knowledge-based, high-quality data. Even existing structured data must be “reorganized” and converted into a “tokenized” format that large models can read, understand, and reason with.
VPS completely breaks through this traditional thinking. Its brand-new data processing paradigm not only handles structured data but excels at unstructured data such as text, images, and audio. Through its built-in AI engine, VPS understands the semantics and context of this data, enabling truly intelligent services.
Systematically Leveraging Data: The Three Paths to Business Value
Once high-quality, AI-understandable data assets are established, how does an AI Agent systematically consume them to drive value? VPS provides three clear pathways:
1. Optimize Data Structures for Consumption Efficiency
The massive accumulation of operational data needs to be presented to AI Agents in an intelligent and efficient way. The unique data processing engine in VPS intelligently integrates various enterprise data types for optimal consumption. For example, when analyzing financial data, VPS goes beyond just the numbers, combining them with market trends and industry data to provide a far more comprehensive financial analysis than traditional tools.
2. Evolve Data Service Methods with Intelligent Tools
The 147 built-in services within VPS cover every angle of enterprise operation. Through intelligent tools, it facilitates data consumption:
- Intelligent Reporting: Users can ask VPS a natural language query like, “How were sales last quarter?” and the AI Assistant immediately generates a detailed sales report with key indicators and professional recommendations.
- Intelligent Data Querying & Flows: Simplified access to complex operational metrics, reducing time spent on manual data extraction.
3. Integrate Applications for a Full Intelligent Upgrade
VPS is designed as a true AI Agent ecosystem, not just a set of isolated tools. It can seamlessly connect with and integrate various enterprise SaaS applications—CRM, ERP, Financial systems—achieving complete data interoperability and sharing. By integrating and analyzing these data streams, VPS provides all-around business insights, empowering owners to make wiser decisions and truly realize the vision of “one person with one phone = one company.”
The Data Spiral: ‘s Blueprint for Sustainable Growth
Whether it’s intelligent customer service, BI tools, or a complete AI Agent ecosystem, the most critical element is establishing a data spiral growth effect. A truly AI-native application must continuously generate and utilize data feedback to form a positive, self-improving cycle.
VPS is fundamentally built on this concept. It doesn't just consume data; it also generates new, high-quality data from its interactions, advice, and insights, continuously forming a positive data closed loop. This self-improvement is what constantly enhances its intelligence and value as an AI Assistant.
The success of VPS is proof that the fusion of AI and data is the inevitable path for future enterprises. It not only meets the enterprise demand for data intelligence but also dramatically enhances data value through AI, leading the way for SME owners to achieve unprecedented efficiency and scale.
