AI Agents Business Stack: What Google's Gemini Platform Shift Means for monday.com Buyers in 2026

Which AI agent should actually run your workflows? The one Google just wired into every app on your desktop, or the one already living inside your project platform?

That question became more urgent this week. UC Today reported that Google is turning Gemini into something more.

It now 'works' across project systems, not just 'reading' from them. Moreover, MCP connectors reach into Asana, Jira, monday.com, and beyond.

Have you built workflows in monday.com? Then, Gemini can now touch that data externally. These AI agents business stack changes how you think about where your agents actually live.

In this post, we'll unpack what Google's move means for you.

Gemini Gets Wired Into Every Tech Stack: What Did Google Just Change?

A few months ago, Gemini hit one billion monthly users. And recently, Google stopped treating it as a tool that only reads your data.

For instance, MCP connectors, Workspace Studio, and Skills can now pull current context from Asana, Jira, monday.com, and elsewhere. They also have more scope to act on that information. We consider this a shift from "assistant to actor."

The timeline moved fast:

"Google added seven new Gemini MCP integrations to Workspace on September 15, 2026. These connect Gemini with Asana, Atlassian Rovo, HubSpot, Mailchimp, QuickBooks, monday.com, and Salesforce."

Days later, Google Cloud CEO Thomas Kurian announced a Gemini agent for enterprise work. He pitched it as one system for answering questions, creating content, writing code, and handling longer tasks. It works across business software.

That agent doesn't need its own interface. It can run headless, inside whatever app you already use.

Why Does This Count as a Platform Shift for Your AI Agents Business Stack?

Analysts have been predicting this. Gartner noted that 40% of enterprise applications would integrate with task-specific AI agents by the end of 2026. That's up from less than 5% a year earlier.

This is no longer a niche trend. The software you already pay for is becoming a surface for agent delivery. That's true whether you planned for it or not.

For your AI agents business stack, the question stops being "which chatbot do we buy?" It becomes "which agent gets to touch our data, and under whose rules."

Google's answer is to put Gemini everywhere. Your platform vendor's answer may be different, and that gap is worth examining before you standardise on either one.

monday.com AI Agent Roadmap: How Does It Stack Up?

monday WorkOS has opened its own front door. It's sprinting towards building an AI-enabled platform that can do everything.

Also, monday.com agents achieved the "Google Cloud Ready - Gemini Enterprise" designation. They passed a rigorous validation process.

What does this mean for you? Gemini Enterprise users can now ask the AI to build monday.com boards directly with an MCP connection. The work will directly land inside the platform you already run.

monday.com also has one-click connectors leading to external AI platforms. These include:

• Copilot
• Gemini
• Claude
• ChatGPT

Why Does This Matter?

That matters because adoption is still uneven across the market. McKinsey's 2025 State of AI Global Survey found something.

About 23% of organisations are actively scaling agentic AI systems in one business function. Similarly, 39% have begun experimenting.

You're probably still deciding where your AI agents business stack will belong. Use monday.com agents for full context of your automations, permissions, and boards.

The platform's roadmap backs that bet with real product work.

• Expert agents you can start from.
• Autonomous actions across workflows.
• Enterprise-ready permissions.

This logic also shows up in the monday AI Agent Factory. For instance, ready-made agents handle sales qualification, support triage, and reporting, all without leaving the platform.

monday.com's bridge to external tools runs through monday MCP too. This lets outside AI assistants like Claude or Gemini CLI pull structured data from your workspace on request.

That's the same protocol Google uses to reach into monday.com from the other direction. Both companies are converging on the same connective layer.

4 Things to Weigh Before Choosing an AI Agent Business Stack

Speed shouldn't be your only filter here. Gartner's most recent enterprise research is a useful reality check.

By 2028, 70% of enterprises will abandon agentic AI built by vendor forward-deployed engineering. They'll be trapped by soaring costs and unable to evolve it on their own. Consider this a warning about any agent setup built fast and governed later.

Ask these before choosing:

• Where does data live? Gemini's connectors pull context outward. However, monday.com's agents work inside the platform where the data was created.
• Who can see what? Role-specific permissions matter more once agents can act, not just read.
• Can you roll back a model? You'll want to change providers without breaking every dependent workflow.
• What happens when an agent gets it wrong? Defined escalation rules decide whether a human catches it in time.

We've built out a full AI agent governance checklist that walks through each of these in more depth. If you're also weighing Google's side of this stack directly, we can help. Our team holds Google Gemini and Vertex AI partner status and can help you scope that comparison properly.

Fruition's Role

The World Economic Forum reports that AI agents could be worth USD 236 billion by 2034. Hence, the right AI agents business stack is no longer a one-size-fits-all answer.

The team at Fruition won't pretend that it is. We've helped 700+ clients across the UK, the US, and APAC. Our experts completed 900+ implementations, earning a 5/5 CSAT score.

We audit the actual workflow first. Then map governance, permissions, and model routing before a single agent goes live.

To End With

Google didn't just add a feature. It opened a second front in the race to decide where your work actually happens.

monday.com answered with its own agent roadmap rather than ceding the space. The real work is deciding which AI agents business stack touches which workflow under what rules.

Weighing your own AI agents business stack right now? Don't guess your way through it. Contact Fruition for a consultation to map decisions before you commit.

FAQs

What is an AI agents business stack?

An AI agents business stack combines AI agents, connectors, and platforms a company uses to automate work. It includes native agents inside tools like monday.com, plus external agents like Gemini that connect across multiple apps. Most organisations now run a mix of both.

Does Google's Gemini agent replace monday.com's AI agents?

No, they solve different problems. Gemini's connectors pull context from monday.com and other apps into Google's interface. monday.com's own agents run inside the platform, with direct access to boards, automations, and permissions already in place.

Should we choose Gemini or monday.com's native agents for our workflows?

It depends on where your data and approval processes already live. If your team works mostly inside monday.com, native agents keep context and governance in one place. If your workflows span many disconnected apps, Gemini's connectors may close that gap faster.