How to Build AI Agents: A Step-by-Step Guide Using Agentforce
By 2028, 33% of enterprise software apps will include agentic AI in their operations. This highlights that, while there are some ethical concerns about its use, AI agents are no longer just a promising concept—they’re becoming a reality. However, although they are indeed more autonomous than other AI systems, learning how to build AI agents requires careful preparation.
In other words, business users can create and customize AI agents on the platform using only natural language—no deep coding knowledge is required. But what does the building process look like? What is the ideal digital ecosystem to make it work properly? In today’s article, we’ll explore how to build AI agents using the Agentforce platform.
What Is Agentforce Agent Builder?
Let’s start with Agent Builder, one of the main features of Agentforce. This is Salesforce’s low-code tool designed for customizing and building AI agents across various business functions. With it, business users can create a task for their agents by defining topics using natural-language instructions and setting guardrails.
The platform also includes features for testing agent responses and enabling seamless human handoff when needed. Built-in templates make it easy to launch agents tailored for customer service, sales, or e-commerce, streamlining automation efforts for businesses.
How Are AI Agents Build?
Building AI agents requires a combination of several techniques. However, they can be summarized into the following six:
Agent Builder simplifies this process, making it easier for business users to build their agents without extensive coding expertise. However, this is not completely autonomous. So, let’s analyze how to build AI Agents in Agentforce platform.
How to build AI Agents in the Agentforce platform?
Step 1: Define the Agent’s Role
The process of building AI agents starts by specifying their role and purpose or, in other words, the job to be done by them. This involves determining the tasks and objectives it will handle, such as responding to customer inquiries, assisting with sales, or automating services and workflows.
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Step 2: Create Topics Using Natural Language
Once you define the agent’s role, define their main tasks by describing them in simple, natural language. This step lets you set up conversational prompts and restrictions (also known as “guardrails”), so the agent knows what actions to take in specific scenarios.
Step 3: Assign Intelligent Actions
Select from various pre-configured intelligent actions, workflows, and responses that align with the agent’s objectives. These out-of-the-box topics allow the agent to handle conversations and perform necessary actions, using Apex logic and prompts when more customization is needed.
Step 4: Test and Monitor the Agent
Finally, use the Agent Builder monitoring tool (Plan Tracer) to test how your agent will respond in different situations. This step also includes configuring human handoff options, so the AI agent can seamlessly transfer complex cases to human agents.
While building AI agents is not difficult, it’s not as easy as pushing a button. To make the most out of these tools, you must set the integrated digital ecosystem they need to perform tasks properly. Otherwise, you are buying problems, not solutions. At Inclusion Cloud we are here to help. Let’s meet and see how to prepare.
What type of AI agents can I build?
Agentforce AI agents allow to scale the workforce of several industries. Thanks to their user-friendly, low-code customization capabilities, business users of several industries can benefit from multiagent systems. Nevertheless, to save you some time, we’ve put together their main roles and functions in various sectors as follows:
The technological framework behind AI agents’ deployment
As we saw, building AI agents is not difficult. Thanks to Agentforce Agent Builder, any business user can do it using only natural language queries to set tasks and guardrails. However, deploying AI technology requires more than this. Since agents rely heavily on up-to-date data, you will need an integrated technological infrastructure for them to perform their tasks properly.
Without cloud storage capacity, seamless data flow, and proper access to essential information, these tools can’t deliver the value every CIO is striving for. On top of that, the overcrowding of apps without central management fosters problems such as SaaS sprawl and drives software costs through the roof. But don’t worry. At Inclusion Cloud we can help you. Book a meeting and let’s plan the integrated AI deployment your business needs.
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Agentforce World Tour 2024: Build your first AI agent here in Dallas!
Building AI agents is easier than ever with Agentforce Agent Builder but adapting this technology to align with your unique business needs and goals can still be a challenge. That’s why Salesforce has organized World Tours for business users. At this event, you can attend sessions and demos for building AI agents according to your business needs.
At Inclusion Cloud, we’re excited to announce that we’ll be attending the Agentforce World Tour 2024 in Dallas this December 10th! There, we will help you take your first steps with AI agents and discuss possible integration projects for you to make the most out of this groundbreaking technology.
Register here to meet our team and discover how we’re helping Dallas businesses build integrated enterprises and maximize ROI. Join us and see in first person one of the biggest innovations for your business!