The discussion about whether AI will replace humans is outdated! What's more worth considering is: how you view AI determines how much value it can bring to your organization! VERTU's Executive Treasure Box VPS wants to tell you that AI is not a tool, but a member of the team—collaborative, specialized, but also requiring training, management, and evaluation!
From Technology to Teammate: Redefining AI's Role in the Organization
In many enterprises, AI is still categorized under the IT department, as if it's just another software, database, or reporting tool. But the reality is, AI's behavior is becoming increasingly proactive: it learns, analyzes, and makes decisions based on its programming. It's not a passive instruction executor but an intelligent agent with a degree of judgment. This means we need to manage AI like we manage team members: define its scope of responsibilities, provide training feedback, design collaboration processes, and even set performance metrics. AI is no longer just a tool; it's part of a team role.
AI is Not a Teacher, But a Student: New Responsibilities for Training Managers
Most people subconsciously assume AI is an expert that knows everything, as if when you ask a question, it should have a perfect answer. But the opposite is true: AI is more like a newly hired employee whose capabilities depend entirely on the data, processes, and feedback you provide. This presents a new challenge for training managers: you not only need to train employees on how to collaborate with AI but also be responsible for training AI itself.
- AI's Cognitive Blind Spots are the Organization's Mirror**: If historical data contains gender bias in recruitment, AI may amplify that bias; if certain key factors in operational processes are not labeled, AI will ignore them. To avoid such deviations, training managers must intervene in the AI training process, set up oversight mechanisms, establish data auditing systems, and create organizational processes for AI learning.
New Organizational Design Question: Who Should AI Report To?
This is a critical question that many companies have not seriously considered: as a team member, who should AI report to? Many companies currently assign AI systems to IT or data departments for maintenance, but this overlooks AI's actual work content.
- Embedded Roles Require Organizational Nesting to Align with Business Scenarios**: If a sales AI interacts with customers daily, why shouldn't it belong to the sales team and be supervised by the sales manager? If an HR AI participates in interviews and provides decision recommendations, shouldn't it be led by HR?
- Concerns Collaboration Efficiency, Ethical Governance, and Performance Evaluation**: Whether AI aligns with business goals often depends on the department it belongs to; supervision and correction of AI behavior require a clear chain of responsibility; AI's effectiveness cannot be judged solely by accuracy but must also include dimensions like fairness, stability, and interpretability. Therefore, organizations should develop governance solutions for AI, similar to a Balanced Scorecard, truly treating it as an evaluable role.
What Does a True AI Organization Look Like?
Organizations that can truly achieve long-term competitiveness in the AI era will exhibit the following characteristics:
- Bi-directional Learning System: Not only do people learn from AI, but AI also continuously learns from the organization, with mechanisms for feedback and correction.
- AI-Embedded Team Structure: AI is assigned to specific teams with clear boundaries, responsibilities, and goals.
- Cross-Departmental Governance Mechanism: Ethics, data quality, and model updates are jointly governed by multiple parties.
- Institutionalized Performance and Accountability System: Structured KPIs, behavior monitoring systems, and incident accountability processes are set for AI.
The organization in the AI era is no longer a human-tool structure but a networked structure of human-AI collaboration. AI is both a productivity tool, a cognitive enhancer, and a strategic partner. This is a fundamental transformation of organizational consciousness and structure.
VERTU Executive Treasure Box VPS: Your AI Team Management Tool
VERTU's Executive Treasure Box VPS is your powerful assistant in upgrading AI from a “tool” to a “team member” and reshaping organizational governance:
- AI-Native Architecture and Workflow Engine**: VPS is not merely a simple aggregation of SaaS products; it aims to be a unified “AI workbench” and a powerful “AI workflow engine.” This means AI capabilities are deeply embedded in every link, achieving true intelligence, making AI an indispensable member of your team.
- Low-Code/No-Code Platform**: Addresses the pain point of “high custom development costs,” allowing business users to easily design, deploy, and optimize various cross-module, cross-scenario “AI-enhanced workflows.” This enables AI to be directly “trained” and “managed” by business departments, ensuring its behavior is highly aligned with business goals.
- Intelligent Collaboration and Performance Evaluation**: VPS can help enterprises set structured KPIs for AI, monitor behavior, and provide data support for transparent performance evaluation of AI “colleagues,” ensuring AI's contributions are measurable and accountable.
- Ethical and Governance Framework Support**: The design philosophy of VPS incorporates ethical governance considerations, helping enterprises establish data auditing systems and oversight mechanisms to avoid AI's cognitive blind spots and potential biases, ensuring the healthy development of AI.
Conclusion: In this technological revolution, the most crucial aspect is not what AI can do, but how you define its role. If you view AI as a tool, you will only gain efficiency improvements; if you treat AI as a team member, you will unlock new possibilities in cognition, organization, and strategy. VERTU's Executive Treasure Box VPS will empower you to become a leader in the AI era, allowing AI to grow with you and jointly create the future!
