Revolutionizing Workforce Analytics: Visier’s AI Assistant Vee Makes Data-Driven Decisions More Accessible

Today, the B2B workforce analytics company Visier announced its first generative AI assistant, Vee. The new AI assistant offers a range of features that help managers, HR leaders, and employees generate insights about their teams using natural language queries. With Vee, business leaders can quickly and easily extract insights from data and build reports automatically, providing new ways for businesses to engage with their data.

Vee’s Key Features

Vee is a generative AI assistant that enables users to easily generate insights from data using natural language queries. Users can type their queries into commonly used apps, and Vee provides near-instant insights about their teams. The AI assistant can be utilized to generate explanatory summaries from data visualizations, making it more convenient for businesses to comprehend and interpret data. One of the critical features of Vee is that it automatically transforms conversational queries into Visier’s query language and provides accurate, succinct narrative answers without relying on proprietary customer data. This ability makes Vee an ideal tool for businesses that are particularly concerned about data privacy and security. Vee is designed to be intuitive and user-friendly, even for those without a technical background.

At the heart of Visier’s vision is its new #askvisier

The command through popular workplace apps like Salesforce’s Slack and Microsoft Teams. Vee plays a critical role in achieving this vision, as it enables business leaders to extract insights from data quickly and easily. The #askvisier command is a powerful tool that allows business leaders to ask Visier a range of questions about their teams. Whether it’s queries about employee performance, compensation, or any other topic, business leaders can use the #askvisier command to extract insights from data quickly and efficiently.

Privacy and security

Visier guarantees the most advanced security model and permissions available for its AI assistant. Vee is designed to be secure and protect the privacy of sensitive data. The company has stringent data privacy policies and security protocols in place to ensure that user data is always safe and secure. In addition to the introduction of Vee, Visier has also announced Smart Compensation, a product designed to streamline the complex compensation planning process using a user-friendly, data-driven approach. Smart Compensation combines Visier’s AI capabilities with an intuitive user interface to provide businesses with an efficient compensation planning process.

Visier was founded in 2010 and has grown to reach over 25,000 customers in 75 countries, including BASF, Bridgestone, Electronic Arts, McKesson, and Merck KGaA. The company has established itself as a leader in the workforce analytics industry, by providing businesses with innovative solutions to help them harness the power of data. Vee is currently available for customer and partner preview and will be widely available in autumn 2023. This timeline provides businesses with ample time to prepare for the introduction of Vee and start exploring how it can help them extract insights from their data quickly and easily.

Explore more

Trend Analysis: Career Adaptation in AI Era

The long-standing illusion that a stable career is built solely upon years of dedicated service to a single institution is rapidly evaporating under the heat of technological disruption. Historically, professionals viewed consistency and institutional knowledge as the ultimate safeguards against the volatility of the economy. However, as Artificial Intelligence integrates into the core of global operations, these traditional virtues are

Trend Analysis: Modern Workplace Productivity Paradox

The seamless integration of sophisticated intelligence into every digital interface has created a landscape where the output of a novice often looks indistinguishable from that of a veteran. While automation and generative tools promised to liberate the human spirit from the drudgery of repetitive tasks, the reality on the ground suggests a far more taxing environment. Today, the average professional

How Data Analytics and AI Shape Modern Business Strategy

The shift from traditional intuition-based management to a framework defined by empirical evidence has fundamentally altered how global enterprises identify opportunities and mitigate risks in a volatile economy. This evolution is driven by data analytics, a discipline that has transitioned from a supporting back-office function to the primary engine of corporate strategy and operational excellence. Organizations now navigate increasingly complex

Trend Analysis: Robust Statistics in Data Science

The pristine, bell-curved datasets found in academic textbooks rarely survive a first encounter with the chaotic realities of industrial data streams. In the current landscape of 2026, the reliance on idealized assumptions has proven to be a liability rather than a foundation. Real-world data is notoriously messy, characterized by extreme outliers, heavily skewed distributions, and inconsistent variances that render traditional

Trend Analysis: B2B Decision Environments

The rigid, mechanical architecture of the traditional sales funnel has finally buckled under the weight of a modern buyer who demands total autonomy throughout the purchasing process. Marketing departments that once relied on pushing leads through a linear pipeline now face a reality where the buyer is the one in control, often lurking in the shadows of self-education long before