7 AI Agents Companies Are Using the Most Right Now

The age of AI is about practical tools that are already hard at work. AI agents, once seen as high-tech novelties, are now fully embedded in daily operations across industries. 

They’re answering customer queries, drafting reports, scheduling interviews, and even making limited decisions on behalf of companies.

These agents aren’t fully autonomous and they don’t need to be. What sets them apart is their ability to understand context, follow through on instructions, and integrate with the tools businesses already use. 

Whether called copilots, assistants, or digital workers, they’re quickly becoming the reliable support systems behind modern offices. Here are some of the most widely used AI agents right now, the ones businesses are betting on to get real work done.

Google Gemini Agents

Built on DeepMind’s powerful Gemini models, these agents are already showing up in industries like fast food, logistics, and finance. From scanning spreadsheets and managing inventory to assisting with customer service, Gemini agents are tailored to perform complex tasks at scale. 

With deep integration into Google Cloud, they’re designed to slot directly into existing enterprise environments, no major restructuring required.

Amelia

Amelia is one of the veterans in the space, starting as IPsoft and evolving into a leading enterprise agent platform. Known for being multilingual, customizable, and enterprise-ready, Amelia is already active in sectors like banking, telecom, and pharmaceuticals. 

In 2024, SoundHound acquired Amelia, combining its strength in voice tech with Amelia’s agent platform. Together, they’re pushing AI deeper into areas where precision, compliance, and communication are critical.

IBM watsonx Orchestrate

Watsonx Orchestrate is IBM’s answer to repetitive business tasks. It’s a no-code platform that lets enterprise teams build their own AI agents to handle everything from onboarding to data reporting. 

With minimal setup, companies can automate workflows across HR, sales, and finance. IBM claims that agents built on this platform solve most requests automatically and significantly cut down time spent on administrative tasks.

Microsoft Copilot & Azure AI Agents

Microsoft has made AI agents mainstream with tools like Microsoft 365 Copilot and Dynamics 365. Whether it’s summarizing a meeting in Teams, building a slide deck in PowerPoint, or managing returns in a retail setting, Microsoft’s agents are trained to understand and act within the full Microsoft ecosystem. 

Through Azure, businesses can also create specialized agents tailored to their operations, all while leveraging Microsoft’s enterprise-grade infrastructure and security.

Claude by Anthropic

Anthropic’s Claude agents focus on safety, reliability, and long-term reasoning key features for companies in high-stakes industries. Powered by Claude Opus, these agents are designed to support decision-making, manage customer interactions, and even write or analyze code. 

What sets Claude apart is its attention to guardrails, it’s built to avoid harmful outputs while still delivering powerful assistance in real-time business contexts.

North by Cohere

North is Cohere’s intelligent automation platform designed to replace digital busywork. Whether it’s drafting legal documents, fetching data, or guiding customer conversations, North is made to plug into tools used by sectors like finance, healthcare, and retail. 

Built around Cohere’s own large language model (Command), North lets companies either deploy ready-made agents or build custom ones that slot neatly into existing systems.

Operator by OpenAI (Honourable Mention)

Still in its early days, OpenAI’s Operator is showing a glimpse of what the future might look like. Instead of just generating suggestions, Operator acts on them — filling forms, booking appointments, or ordering items online. 

Available in research preview for ChatGPT Pro users, this agent combines GPT-4o’s language skills with real-time browser interaction. While it’s not widely deployed in enterprise yet, it’s one to watch as OpenAI moves toward more autonomous digital agents.