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

Standardized Developer Environments Still Break DevOps Workflows

The long-standing engineering dream of achieving absolute environment parity has often remained an elusive target, despite the sophisticated containerization tools available to modern teams. For years, the industry has chased the promise of a setup so consistent that a developer could transition from a local laptop to a cloud-based server without changing a single line of configuration. While 2026 has

Retailers Use ERP, SCM, and CRM to Drive Growth in 2026

Modern supply chain management systems go beyond simple inventory tracking by using operational data to forecast demand and redistribute stock across multiple channels. This evolution represents a fundamental shift in how the retail industry operates, where the sheer volume of digital transactions and global logistics has reached unprecedented levels of complexity. As high-growth brands navigate the current landscape, the reliance

Morph Launches Non-Custodial Global Payment Gateway

For globally distributed teams, the delay of several business days required for traditional wire transfers to clear represents a substantial hurdle to efficient payroll and operations. This pervasive friction has paved the way for the introduction of Morph Payments, a decentralized gateway designed specifically to leverage the high throughput and low cost of the Morph Ethereum Layer 2 scaling network.

Is Ethereum Finally Adopting Cardano’s UTXO Model?

Algorand Foundation ambassador Lily Brodi recently noted that Ethereum’s newest scaling explorations essentially mirror the technical state Cardano has operated in for several years. This observation highlights a significant pivot in the ongoing evolution of decentralized ledgers, where the rigid distinction between account-based and Unspent Transaction Output (UTXO) models is beginning to blur. For years, the blockchain community viewed these

How Do You Measure the Success of Your Onboarding Program?

While many HR departments prioritize the delivery of administrative paperwork, only twelve percent of employees report that their organization provides a high-quality onboarding experience. This disconnect suggests that most companies view the arrival of new talent as a logistical hurdle rather than a long-term investment. Organizations often excel at the technicalities of the hiring process, such as distributing hardware, establishing