Google Cloud's New Tool Makes It Easier for Businesses to Use AI Assistants

Google Cloud announced a new platform called Agentic Taskforce at Cloud Next 2026. Think of it as a toolkit that helps companies build and manage AI assistants that can do work on their own — things like answering customer questions, helping employees with tasks, or organizing information across different software programs.

The platform is built around four main functions: build (create the AI assistant), scale (make it work across your business), govern (keep it safe and compliant), and optimize (make it run faster and better).

A Marketplace of Pre-Built AI Assistants

Google Cloud is also launching an "Agent Gallery" — essentially a store of ready-made AI assistants built by software companies like Adobe, Atlassian, ServiceNow, and others. The company is adding connections to popular business tools like Asana, Mailchimp, and Workday.

Worth flagging: This approach is similar to how Salesforce created its AppExchange marketplace in the mid-2000s, where developers could build specialized apps for the Salesforce platform. The main difference here is that these AI assistants can understand natural language (like regular conversation) and handle multi-step tasks on their own.

The reason this matters: most large companies use many different software programs — a scheduling tool here, a project manager there, an accounting system elsewhere. Connecting AI assistants to all of these systems usually requires expensive custom work. By providing pre-made connectors, Google makes this job much simpler.

AI Tools for Customer Service and Office Work

Google is also expanding its Gemini AI tool for two main purposes: helping companies serve customers better, and helping employees work more efficiently.

On the customer side, AI assistants can handle phone calls or chat messages, answer questions, and know when to transfer someone to a human agent. For employees, the AI sits inside Google Workspace (the company's productivity apps) and helps with tasks like writing, organizing information, and answering questions about company policies.

This directly competes with Microsoft's Copilot offering, which does similar things inside Microsoft Office.

A Real-World Example: The Home Depot

The Home Depot, the large home improvement retailer, is using this technology in two ways. First, store employees use an AI assistant called Magic Apron that knows about products and can help troubleshoot problems. Second, the company uses AI voice agents to handle customer service calls — these take routine questions and pass complex problems to human agents.

In this author's view, this is a smart approach. Rather than trying to automate everything, The Home Depot picked specific workflows where AI adds clear value while keeping humans in charge of harder situations.

Safety, Compliance, and Keeping Things Running

The four functions of the platform address real concerns that large companies have when deploying AI. The "govern" function handles compliance rules, audit trails (a record of what the AI did), and access controls — important because AI assistants will need access to sensitive business information.

The "optimize" function means the system can monitor how the AI is performing and tune it over time. This is crucial because AI assistants don't stay perfect on their own; they need ongoing attention.

The "scale" function means if an AI assistant works well, a company can expand it across the entire organization without having to rebuild the whole system from scratch.

How Google Fits Into the Bigger Picture

Google Cloud, Microsoft, and Amazon are all offering similar AI agent platforms, each with different strengths. Microsoft leans on the fact that many organizations already use Office 365. Amazon emphasizes flexibility in cloud infrastructure. Google focuses on the strength of its AI models and the breadth of partners offering pre-built assistants.

Most companies already have workflows built into specific software tools — they've spent years and money setting these up. AI assistants that work within these existing tools are much easier to adopt than entirely new systems.

What This Shift Means

Analysis: Rather than trying to create one AI assistant that does everything, the market is moving toward specialized AI assistants designed for specific jobs — one for creative work (from Adobe), one for IT support (from ServiceNow), and so on. This specialization matters because general AI models are broad but sometimes miss the details that matter in specific industries.

The need for broad connectivity — to accounting software, scheduling tools, communication platforms, and more — shows what businesses actually need: AI that fits into the tools they already use, not AI that replaces everything.