The rise of AI agents marks a turning point in how organizations support their employees, streamline operations, and unlock productivity. Whether you’re a global enterprise or a fast-growing startup, intelligent agents can act as always-on assistants that reduce friction in daily tasks — from IT troubleshooting to HR queries and everything in between.

In this post, we’ll break down why AI agents are so valuable in the enterprise, share best practices for creating effective agents, and walk through how to build your own in GoSearch, using a practical example: an IT Help Assistant.

Why AI Agents Matter in the Enterprise

AI agents are dynamic, adaptable tools that can be customized for nearly any business function. Here’s why they’re becoming essential in today’s workplace:

1. Reduce Time-to-Answer

Employees waste hours searching for information or waiting on IT support. AI agents provide instant answers, helping teams resolve issues in real time without submitting a ticket or waiting for a response.

2. Scale Internal Support

Instead of relying on a handful of IT or HR staff to support an entire company, agents handle repetitive queries at scale, freeing up experts to focus on more complex challenges.

3. Improve Consistency

Unlike humans, agents don’t forget policies or misinterpret guidelines. When connected to company data, they give consistent, compliant responses every time.

4. Boost Productivity

When employees get what they need faster — whether it’s a software install link or help resetting a VPN — they can get back to work sooner. Agents remove friction from everyday tasks.

Best Practices for Building AI Agents

Not all agents are created equal. The difference between a mediocre assistant and a great one often comes down to how you set it up. Here are some best practices for building AI agents in GoSearch:

1. Give Your Agent a Clear Identity

Start with a straightforward, recognizable name. This helps employees know when and how to use it. For example, “IT Help Assistant” is descriptive and approachable.

2. Write a Descriptive Summary

A short description clarifies the agent’s purpose for users. Something like:

“Helps employees troubleshoot common IT issues and answer tech questions quickly.”

3. Define Clear Instructions

Instructions tell the agent what it should and shouldn’t do. Think of it like onboarding a new team member — the more specific you are, the better they perform.

Example:

“You are an internal IT assistant. Help employees with common technical problems like Wi-Fi issues, password resets, and software access. Use company documentation as your main source. If you don’t know the answer, suggest opening a support ticket.”

Use this section to:

• Outline the agent’s responsibilities
  
• Specify tools or data sources it should use
  
• Set boundaries (e.g., “don’t guess if uncertain”)
  

4. Use Guardrails Wisely

Guardrails prevent the agent from overstepping. They help maintain brand tone, accuracy, and data privacy. For example:

• “Don’t provide personal opinions”
  
• “Suggest creating a support ticket for complex issues”
  
• “Only reference official company documentation”
  

5. Add Conversation Starters

Include common queries so users know what to ask. For an IT agent, you might include:

• “How do I reset my VPN password?”
  
• “Zoom isn’t working — what can I do?”
  
• “How do I request a new laptop?”
  

How to Build an AI Agent in GoSearch

Let’s walk through how to create a custom AI agent in GoSearch using our example: an IT Help Assistant.

Step 1: Name Your Agent

Choose a name that’s clear and descriptive.
💡 Example: IT Help Assistant

Step 2: Write a Description

Explain the agent’s role in one sentence.
💡 Example: “Helps employees troubleshoot common IT issues and answer tech questions quickly.”

Step 3: Define Instructions

Think of this as your agent’s job description. Include:

• The problems it should solve (e.g., password resets)
  
• Preferred sources (e.g., internal help docs)
  
• What to avoid (e.g., “Don’t give personal advice”)
  

💡 Tip: The more specific your instructions, the more effective the agent will be.

Step 4: Add Conversation Starters

Provide example queries to make the agent more approachable. This helps employees get started faster.

Step 5: Choose Access Settings

Decide whether the agent should be private, team-only, or company-wide.
For an IT assistant, you’ll likely want to choose “Anyone” so the whole company benefits.

Step 6: Select Information Sources

You can control where your agent pulls information from:

• All available sources
  
• Specific sources (e.g., IT documentation, ticketing systems)
  
• AI only (no internal data references)
  

For our IT assistant, we’ll link it to:

• Internal help documentation
  
• The ticketing center
  
• Internal chat channels
  

💡 You can also enable Web Search to pull in vendor guides or public help articles.

Step 7: Upload Additional Files

Need your agent to reference setup PDFs, troubleshooting guides, or onboarding docs? Upload them directly to expand its knowledge base.

What’s Next for AI Agents?

Once your agent is live, you can go further by enabling Actions — such as auto-generating support tickets or escalating issues to IT when the agent can’t resolve them. We’ll explore that in the next post.

GoSearch AI Agents: The Future

AI agents aren’t just a trend — they’re a smarter way to work. By turning internal knowledge into instantly accessible support, agents help teams move faster, reduce strain on help desks, and deliver a better employee experience.

Whether you’re starting with an IT assistant or expanding to other departments like HR or Finance, tools like GoSearch make it easy to create agents that are both powerful and safe.

Ready to try it yourself? Head over to GoSearch and start building your first agent today.