What makes SitecoreAI's CMS different?

SitecoreAI connects a cloud-based web content management system, personalization, customer data, and AI in one platform. You can create, manage, and activate digital content across every experience, with AI already included and governance built in as core functionality.

Why do traditional content management systems struggle to support modern digital experiences?

Traditional CMS platforms like WordPress struggle because they tie content to a single presentation layer and rely on disconnected tools for delivery and optimization. A headless CMS solves the first problem by separating content from the front end, but most still leave personalization and optimization to bolt-on functionality, apps, or plugins added later. The result: harder content reuse, slower adaptation across channels, and a slower response to changing customer expectations.

How does a content management system impact SEO and AI search visibility?

Your CMS shapes how your content is discovered in search and AI-generated answers. SitecoreAI structures digital content, enriches metadata, and connects it to delivery and optimization, so your content is easier to surface, reuse, and perform wherever decisions happen.

How does a CMS support the full content lifecycle?

A CMS supports the full content lifecycle by connecting how content is created, managed, and delivered. In SitecoreAI, content creation sits alongside production and delivery, with connections to assets, campaigns, and personalization workflows. That functionality lets the same brief power a landing page, an email, mobile apps, and a personalized recommendation for any use case in any format without rework.

How do you control and govern AI-generated content in a CMS?

Control comes from governance built into every step. SitecoreAI applies brand guardrails to every AI action across the content ecosystem, so content creation and content delivery stay consistent, compliant, and aligned across teams, channels, and experiences.

Can marketers create and manage content without developer support?

Yes. Where traditional CMS software can require developer involvement for every front-end change, SitecoreAI gives marketers direct control with CMS features like a visual editor and AI co-pilots that guide copy, tone, and structure in real time. Content moves faster from brief to publish and connects directly to assets, campaigns, and personalization workflows.

What should buyers look for in a content management system for enterprise organizations?

Buyers should look for a platform that supports global teams, multiple channels, and complex governance requirements. Many types of content management systems, from Squarespace and Drupal to legacy CMS platforms, manage content but fail to connect it to delivery and performance, so you need flexible architecture, enterprise scalability, strong governance, and integration across your content lifecycle.

How does a CMS connect with other marketing tools?

Many CMS platforms stop at managing content. SitecoreAI connects the key features of CMS, digital asset management (DAM), Content Operations, Audience and Insights, and Conversion Optimization in one platform, so non-technical users can create, deliver, and improve experiences without a disconnected user experience.

Sitecore Learning

SitecoreAI Agent Builder Workshop

Get hands-on experience building, configuring, and refining AI agents in SitecoreAI Agentic Studio. Learn through guided exercises designed to help you confidently create agents for real marketing and business use cases, no development experience required.

Workshop details

Duration:5 hours

Format:Virtual Instructor-Led

Level:Beginner

Cost:Free

Enroll now

About this experience

Design agents that power real marketing and business workflows. The SitecoreAI Agent Builder Workshop puts you directly in SitecoreAI Agentic Studio, where you'll build and configure Standard and Workflow agents through guided exercises that move from defining objectives to refining performance through iterative testing. You leave with working agents and the hands-on experience to keep building in your own SitecoreAI environment.

From concept to agent

Setup

Start learning from the moment the workshop begins. Sitecore provides a fully prepared training environment with access to SitecoreAI Agentic Studio, so there's nothing to install or configure before the session.

Ready to dive in?

Through guided activities and hands-on practice, you'll build the skills and confidence to create, test, and refine Standard and Workflow agents that automate repeatable marketing and business tasks.

Agent foundations:

Understand how AI agents support marketing and business workflows in SitecoreAI Agentic Studio and where they deliver the greatest value.

Choose your approach:

Choose the right approach for each use case, whether that's using a prebuilt agent, adapting an existing one, or building a new agent from scratch.

Task readiness:

Assess whether a business task is suitable for automation with an AI agent and identify the factors that contribute to successful outcomes.

Standard agent build:

Build and configure a Standard agent to support flexible, repeatable business tasks.

Workflow agent build:

Create and configure a Workflow agent for structured processes that require consistent execution.

Run and refine:

Test agent performance, evaluate outputs, and improve results by refining prompts, instructions, context, and configuration.

Human in the loop:

Recognize when human review is essential to ensure quality, accuracy, and responsible use of AI-generated outputs.

Your agent, beyond the workshop:

Leave the workshop with working agents you've built yourself, ready to continue developing and using in your own SitecoreAI environment.

Frequently asked questions

Will the session be recorded if I can't attend live?

Because this workshop is built around live instruction and hands-on exercises, it isn't recorded or available on demand. If you're unable to attend a scheduled session, we recommend registering for a future live workshop.

I'm not very familiar with AI tools yet. Is this still right for me?

This workshop assumes a basic familiarity with AI concepts, such as prompts and AI-generated outputs, before moving into building AI agents in SitecoreAI Agentic Studio. If you're completely new to AI, we recommend first exploring tools such as ChatGPT or Microsoft Copilot, or starting with our Introduction to SitecoreAI eLearning course before attending the workshop.

Is this workshop relevant if I'm not in marketing?

Yes. Although many participants work in marketing, the skills you'll learn, including evaluating use cases, building AI agents, creating Standard and Workflow agents, and refining outputs, can be applied to repeatable business processes across teams and departments. The workshop focuses on practical AI agents that support real business tasks, regardless of your role.

What if I don't have a SitecoreAI license at my company?

A fully prepared SitecoreAI environment is provided for the workshop, so you don't need your own license to participate. If you're interested in exploring SitecoreAI for your organization after the workshop, we'll be happy to connect you with our team.

Will I receive a proof of completion?

Yes. Participants who complete the full workshop receive a professional development badge, which can be shared on LinkedIn and other professional profiles as recognition of their learning.

Will I keep access to the SitecoreAI environment after the workshop ends?

The training environment provided during the workshop is temporary and isn't available after the session ends. To continue building and refining agents, you'll need access to your organization's SitecoreAI environment.

What is agentic AI, and will I learn it in this workshop?

Agentic AI refers to AI systems that can perform tasks by following instructions, using context, and working through defined workflows with appropriate human oversight. In this workshop, you'll learn how to build AI agents in SitecoreAI Agentic Studio by evaluating use cases, configuring agents, testing outputs, and refining their performance through guided, hands-on exercises.

About this experience