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5 Ways Command-Driven AI Empowers Organizations

Your organization’s HR tech holds valuable employee data to help you garner insight and make smarter, more informed decisions. Unfortunately, this data hasn’t always been easy to access. IWant™, the industry’s first command-driven AI engine in a single database, changes that. While generative AI often makes assumptions about the info it accesses, IWant ensures instant, accurate answers since it only pulls data your employees entered themselves. And since the tech empowers your organization with quick access to the exact data it needs, it helps accelerate operations for employees at every level: Of course, not all AI tech is designed the same. And certain AI tools — even those offered by an HR tech provider — can’t provide the level of accuracy and confidence only possible with a command-driven AI engine in a single database. How could a command-driven AI engine empower you to lead with confidence? As you consider how a command-driven AI engine like Paycom’s IWant could transform your work, it’s important to account for how it differs from the AI-powered tech your workforce may already use. Consider questions like: In our checklist, we’ll walk you through five important considerations and explore how a command-driven AI engine provides you with reliable and consistent results that generative AI tech can’t match. Because when you lead a business, you shouldn’t be bogged down by navigating software, waiting for a reply from someone else or second guessing the accuracy of the responses AI provides. A command-driven AI engine in a single database puts the accurate employee data you need instantly at your fingertips. Download our checklist to learn how a command-driven AI engine transforms your organization. To learn more, download 5 Ways Command-Driven Empowers Organizations.

Apr 15, 2026 8 min read Premium
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ContentClick in Report

The role of digital personalization

Food retailing has come a long way since supermarkets first offered discounts to any shopper who provided a phone number at the checkout counter. Today, grocers are using sophisticated analytics and techniques like machine learning to predict the products customers will want to buy and build promotions tailored to individual shoppers. Retailers are also looking to tap technology to help customers use personal health information to make shopping decisions. Meanwhile, a host of online-only grocers determined to grab market share from traditional supermarket operators by focusing on customization has also recently sprung up. These companies are building proprietary technology aimed at outsmarting their competitors to realize their ambitions in e-commerce. In a reflection of the sector’s rapid rise, e-grocer Hungryroot recently attracted new executives with seniorlevel experience at Grubhub and Kayak, a travel booking website. In this trendline, we look at how retailers are looking beyond loyalty programs to personalize shoppers’ e-commerce experience, and how Walmart has been able to use artificial intelligence to sharply increase the likelihood that online customers will accept the substitutions they’re offered when items are out of stock. In addition, we explore a tool from Shipt that allows online consumers to select a preferred shopper to handle their orders. Personalization is a complex new frontier for the grocery industry, but fast-evolving technology is giving retailers access to a host of intriguing opportunities to redefine how they connect with tech-savvy customers — and hold onto their business.

Apr 15, 2026 8 min read Premium

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