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: Maritime Data Quality and Digitalization

The global shipping industry is currently grappling with a paradox where massive investments in high-end software often result in negligible improvements to the bottom line because the underlying data is essentially unreadable. For years, the narrative around maritime progress has been dominated by the allure of autonomous hulls and hyper-intelligent algorithms, yet the reality on the bridge and in the

Trend Analysis: AI Agents in ERP Workflows

The fundamental nature of enterprise resource planning is undergoing a radical transformation as the age of the passive data repository gives way to a dynamic environment where autonomous agents manage the heaviest administrative burdens. Businesses are no longer content with software that merely records what has happened; they now demand systems that anticipate needs and execute complex tasks with minimal

Why Is Finance Moving Business Central Reporting to Excel?

Finance leaders today are discovering that the rigid architecture of an enterprise resource planning system often acts more as a cage for their data than a springboard for strategic insight. While Microsoft Dynamics 365 Business Central serves as a formidable engine for transaction processing, many organizations are intentionally migrating their primary reporting workflows toward Microsoft Excel. This transition represents a

Dynamics GP to Business Central Migration – Review

Maintaining an aging on-premise ERP system in 2026 feels increasingly like trying to navigate a modern high-speed railway using a vintage steam engine’s schematics. For decades, Microsoft Dynamics GP, formerly known as Great Plains, served as the bedrock for mid-market American enterprises, providing a sturdy, if rigid, framework for accounting and inventory management. However, as the industry moves toward 2029—the

Why Use Statistical Accounts in Dynamics 365 Business Central?

Managing a modern enterprise requires more than just tracking the movement of dollars and cents across various general ledger accounts during a fiscal period. Financial clarity often depends on non-monetary metrics like employee headcount, physical floor space, or the total volume of customer interactions to provide context for the raw numbers. These metrics, known as statistical accounts, allow controllers to