Build a No-Code AI Agent with Gemini Enterprise

By Tiago Ferreira November 13, 2026 5 min read

How to Build a No-Code "Internal Knowledge" AI Agent with Gemini Enterprise

By Tiago Ferreira, AI Change Management & Project Delivery Manager at Suitebriar

Imagine if every single employee in your company could find the exact answers to operational questions—on travel policies, IT requests, or onboarding—without ever having to dig through messy folders or wait hours for a response.

No, this isn't a future-state fantasy. It's something you can build today, in under five minutes, with absolutely zero coding required.

Using Google’s Gemini Enterprise and the existing business documents you already have in Google Drive, you can deploy a custom, grounded Internal Knowledge Agent that acts as your team’s 24/7 AI-powered assistant.

In this walkthrough, we’ll show you exactly how to do it.

The Problem: The "Where is That File?" Tax

In every organization, employees waste invaluable time searching for basic information. HR policies, IT request procedures, brand guidelines, and travel expense rules are often scattered across Google Drive. When someone needs an answer, they’re forced to ping busy colleagues or spend 20 minutes hunting down files.

An Internal Knowledge Agent solves this by acting as an intelligent, conversational interface over your company’s custom documents. It reads only what you tell it to read and answers your team’s questions instantly, citing the exact document where the information lives.

Here’s the step-by-step guide to building yours.

Step 1: Gather and Centralize Your Knowledge Base

An AI Agent is only as good as the information it’s given. The first step is to create a single, dedicated folder in Google Drive and gather your foundational company documents.

For our demo agent, we used six common operational files:

Travel and Expense Policy
IT Equipment Request Procedure
Meeting Room Booking Guide
Brand and Writing Guide
Project Lessons Learned (Project Falcon)
Org Chart & Contacts Sheet

💡 Pro-Tip from Suitebriar: Ensure you are using the final, approved versions of these files. Your agent will inspect these documents closely, so keeping them up-to-date is key to getting accurate answers.

Step 2: Create Your Agent in Gemini Enterprise

Once your files are organized, it’s time to bring your agent to life.

Open Gemini Enterprise.
From the left navigation menu, go to Agents and select + New Agent, then choose Chat Agent.
While you can describe your agent and let Gemini draft it, we recommend clicking Build Manually so you can see and fine-tune every setting.
Name your agent (e.g., “Company Knowledge”) and add a brief, clear description of what it’s for.

Step 3: Write Clear Rules and Instructions (Prompt Engineering)

The Instructions section is where you dictate the boundaries, behaviors, and personality of your AI Agent. Think of this as training a new colleague on how to behave.

To keep our agent safe, accurate, and useful, we segmented our rules into three parts:

Where to Look: Tell the agent to only use the specified Google Drive folder and never to guess or make things up (no "hallucinations").
How to Answer: Instruct it to give short, direct answers, and end every single response with the exact file name it used (e.g., Source: Travel and Expense Policy).
Fallback Rules: If a team member asks about something not covered in the documents, specify that the agent must say, "I couldn’t find that in our company documents," and then direct them to human resources or the appropriate team leader. No guesswork!

Step 4: Connect Google Drive (Grounding Your Agent)

Now, tell the agent where its knowledge comes from.

Under the Model section, select the appropriate LLM (we recommend Gemini 3.1 Pro for multi-document synthesis).
Ensure Connectors (like Google Search) are turned off if you want this to be a strictly internal-facing agent.
Under Knowledge, click the plus sign + and choose Add from Drive.
Open your folder, highlight your documents, and hit Insert.

Note: Your agent is now "grounded" in these files. Anyone using the agent can get answers sourced from them—even if they don't have direct access to the files in Drive.

Step 5: Test, Refine, and Launch

Before sharing your agent with the company, hit Preview to put it through its paces.

Test it with an expected question, such as "How do I submit a travel expense?" You should see it pull directly from your travel policy, giving a neat, numbered checklist while citing the file.

Next, try to "trick" it by asking something not in the folder, like "What is our parental leave policy?" If you wrote your rules correctly, the agent will gracefully bow out, tell you it cannot find the file, and direct you to the HR contact on your contacts sheet.

Once it passes your tests, hit Create and use the Share button to invite team members by email or copy a secure link to put on your internal dashboard.

Need Help Activating Gemini Enterprise? We’ve Got You.

Building a basic knowledge agent is just the beginning. The real power of Gemini Enterprise comes when you tie these agents into complex workflows, integrate them with platforms like Slack or Salesforce, and build custom multi-agent architectures to truly automate your operation.

But driving adoption and managing the change in a busy organization can be tough. That’s where Suitebriar comes in.

As a Google Cloud Premier Partner, we help organizations go from "experimenting with AI" to actually driving business ROI. In our Gemini Enterprise AI Activation Workshop, we don't just show you what the tech can do—we will train your employees, uncover high-impact use cases, and build 1 to 2 custom AI agents specifically for your workflows.

Plus, we can help you unlock Google Cloud funding opportunities to help offset the costs.

Contact Suitebriar today to schedule a free review of your Google environment and take the first step toward building a smarter, faster, AI-enabled workplace.

Stay ahead of the curve. Share this post with your team, and drop a comment below on what AI agent you want to build next!

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About the author

Tiago Ferreira

Tiago Ferreira is the AI, Change Management & Project Delivery Manager at Suitebriar, guiding organizations through the full lifecycle of Google Workspace and Gemini adoption—from initial rollout to daily fluency. Backed by dual Master’s degrees in Digital Transformation Leadership and Cyberpsychology, alongside experience across startups and the U.S. Government, Tiago pairs technical execution with behavioral insight. Grounded in the belief that technology must serve people first, his work centers on driving sustainable AI adoption, targeted training, and lasting organizational change.

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