Designing Agent-to-Agent (A2A) Architecture in Salesforce

April 27, 2026

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Designing Agent-to-Agent (A2A) Architecture in Salesforce

Summarize this blog post with:

As Salesforce builds out with AI capabilities such as Einstein and Agentforce, the design of automation is also evolving. These conventional approaches like Flows, Apex triggers and integrations remain applicable but are not adequate to handle dynamic and complex business processes.

In this case, Agent-to-Agent (A2A) architecture comes in.

Instead of a single system or level of logic, A2A architecture allows a team of intelligent agents to talk to each other, cooperate, and work simultaneously. Such a viewpoint allows systems to be more adaptable, scalable, and able to cope in complexity of the real world.

In this article, we are going to discuss how to build A2A architecture in Salesforce in a simple and crisp way, yet keep it professional and practical.

What is Agent-to-Agent (A2A) Architecture?

Agent-to-Agent (A2A) is an architectural pattern, where a number of AI/logic based agents communicate with each other to accomplish tasks.

Every agent has a unique role and they communicate and collaborate with each other rather than operating in isolation.

In simple terms:

One agent receives a request
It delegates parts of the task to other agents
Each agent processes its part
Results are combined to produce the final output

This is unlike traditional automation, where a single process attempts to manage all aspects of the workflow from beginning to end.

Why A2A Architecture Matters in Salesforce

Salesforce environments are getting more and more complex Companies handle:

Multiple data sources
Different departments (sales, service, finance)
Real-time customer expectations

Traditional automation has limitations:

It follows predefined rules
It struggles with dynamic decision-making
It becomes difficult to maintain as complexity grows

A2A architecture addresses these challenges by:

Breaking down logic into smaller units
Allowing agents to make contextual decisions
Enabling collaboration between different functional areas

This results in systems that are:

More modular
Easier to scale
Better aligned with business processes

Core Components of A2A Architecture

Designing A2A architecture necessitates have identity of its major components.

1. Orchestrator Agent

The orchestrator is the system’s central point of control.

Its responsibilities include,

Getting the the original request (from user, API, or system)
Understanding the intent of the request
Deciding which agents need to be involved
Managing the flow of communication
Combining responses from different agents

The orchestrator doesn’t execute heavy business logic on its own. However, it is concerned with coordination and decisions.

2. Specialist Agents

Specialist agents are responsible for specific business domains.

Examples include:

Order Agent (handles order-related data)
Billing Agent (handles payments and refunds)
Support Agent (handles customer cases)

Each agent:

Has access to relevant data
Contains logic related to its domain
Performs a well-defined task

This separation ensures clarity and reduces the risk of errors.
Each agent:

3. Communication Layer

Agents must have a means of communicating among themselves. In Salesforce, this could be achieved by:

Apex method calls
REST APIs
Platform Events
Messaging frameworks

The communication should be structured and consistent. JSON is commonly used for passing data between agents.

Example:

{
   "requestType": "OrderStatus",
   "orderId": "ORD12345",
   "customerId": "CUST001"
 }

4. Data Layer

Agents rely heavily on data. The data layer may include:

Standard and custom Salesforce objects
External systems via APIs
Data Cloud for unified data access

It is important that agents work with:

Accurate data
Real-time information
Minimal duplication

How A2A Flow Works in Practice

Let’s consider a real-world scenario.A customer asks: “Can you check my order status and tell me if I am eligible for a refund?”

Here’s how A2A architecture handles this:

The orchestrator receives the request
It identifies two intents:
- Check order status
- Check refund eligibility
It calls:
- Order Agent
- Billing Agent
Each agent processes its task independently
Results are sent back to the orchestrator
The orchestrator combines the responses
Final answer is returned to the user

This method enables parallel processing and shorter response time.

Basic Apex Example for Understanding

Here is a minimal example that show how an orchestrator could call multiple agents.


public class OrchestratorAgent {

 	public static String handleRequest(String requestType) {

     	if(requestType == 'OrderStatus') {
         	return OrderAgent.getOrderStatus();
     	}
     	else if(requestType == 'RefundCheck') {
         	return BillingAgent.checkRefundEligibility();
     	}

     	return 'Unsupported request';
 	}
 }

It’s a simplified illustration, but you can see how one agent assigns tasks to other agents.

Collaboration Patterns in A2A Architecture

There are two main ways agents collaborate.

1. Sequential Collaboration

With this pattern the agents operate in a specified order. Each step takes the previous one as its input.

Example:

Sales Agent confirms order
Billing Agent verifies payment
Logistics Agent processes delivery

This pattern is suitable for structured workflows.

2. Parallel Collaboration

In this pattern, a number of agents operate concurrently.

Example:

One agent checks inventory
Another checks payment status
Another evaluates risk

All agents operate in parallel, and the results are combined later. This scheme is well suited for complicated decision-making processes.

Designing A2A Architecture Step-by-Step

For developing the strong A2A system, do the following

Step 1: Identify the Use Case

Clearly define:

What problem you are solving
Which processes are involved
What outcomes are expected

Step 2: Break Down the Workflow

Divide the process into smaller tasks.

Each task should:

Be independent
Have a clear purpose

Step 3: Assign Agents

Create one agent per task or domain. Do not make agents responsible for handling multiple unrelated tasks.

Step 4: Design the Orchestrator Logic

The orchestrator should:

Interpret the request
Decide execution flow
Handle responses

It should not become too complex.

Step 5: Define Communication Structure

Use a consistent data format.

Example:


{
   "action": "refund_check",
   "orderId": "ORD5678"
 }

Step 6: Implement Error Handling

Always consider failure scenarios:

Missing data
API failures
Incorrect responses

Common Challenges in A2A Architecture

While A2A provides numerous advantages, it also presents challenges.

1. Infinite Loops

Agents may repeatedly call each other, creating loops.

Solution:

Set execution limits
Track agent calls</li

2. Error Propagation

Errors from one agent can affect the entire workflow.

Solution:

Validate inputs and outputs
Use structured data

3. Performance Overhead

Too many agent interactions can slow down the system.

Solution:

Optimize calls
Avoid unnecessary processing

4. Dependency Issues

Agents may become too dependent on each other.

Solution:

Keep agents loosely coupled
Design independent logic

Governance and Control

When systems grow increasingly independent, governance is crucial.

Security

Ensure:

Data access is controlled
Sensitive information is protected

Rules and Guardrails

Define:

Which agents can interact
What actions are allowed
When escalation is required

Human-in-the-Loop

For critical decisions:

Include manual approval steps
Allow human intervention

Example:

High-value refund requests
Contract approvals

Best Practices for A2A Design

Keep agents focused on a single responsibility
Use clear naming conventions
Maintain proper logging and monitoring
Test each agent independently
Avoid overcomplicating the architecture

Use Cases of A2A in Salesforce

A2A architecture can be applied in multiple scenarios:

Customer Support

Automated case handling
Intelligent routing
Resolution suggestions

Sales

Lead qualification
Opportunity analysis
Follow-up automation

Order Management

Order tracking
Shipment updates
Return handling

Finance

Payment validation
Refund processing
Invoice checks

Future of A2A in Salesforce

With advancements in AI, A2A architecture will become more common.

Future systems will:

Be more autonomous
Require less manual intervention
Provide faster and smarter responses

Technologies like:

Einstein AI
Data Cloud
Agentforce

will play a major role in this transformation.

Also Read

Don’t forget to check out: How to implement Round Robin Functionality in Salesforce

Final Thoughts

Agent-to-Agent architecture is a move from conventional automation towards intelligent cooperation. Rather than creating big, intricate workflows, organizations can design systems composed of small, specialized agents that cooperate.

The key to success lies in:

Clear design
Proper coordination
Strong governance

If properly implemented, A2A architecture can bring about substantial gains in efficiency, scalability, and general system intelligence.

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Written by

Dev Anand

A dynamic engineer, innovative thinker, initiative taker and multi technology professional with exceptional logical, analytical and management skills possess a decade experience in Software Development and Salesforce CRM Solutioning. Enrich experience in converting business needs to Salesforce Experience. Worked on multiple RFPs and POCs. 50+ Integrations between Salesforce and other Platforms. Experience in LWC, Aura, Apex, JS, HTML, PHP, WordPress, Magento and many others.

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Designing Agent-to-Agent (A2A) Architecture in Salesforce

April 27, 2026

8 Views

What is Agent-to-Agent (A2A) Architecture?

Why A2A Architecture Matters in Salesforce

Core Components of A2A Architecture

1. Orchestrator Agent

2. Specialist Agents

3. Communication Layer

Example:

4. Data Layer

How A2A Flow Works in Practice

Basic Apex Example for Understanding

Collaboration Patterns in A2A Architecture

1. Sequential Collaboration

2. Parallel Collaboration

Designing A2A Architecture Step-by-Step

Step 1: Identify the Use Case

Step 2: Break Down the Workflow

Step 3: Assign Agents

Step 4: Design the Orchestrator Logic

Step 5: Define Communication Structure

Example:

Step 6: Implement Error Handling

Common Challenges in A2A Architecture

1. Infinite Loops

2. Error Propagation

3. Performance Overhead

4. Dependency Issues

Governance and Control

Security

Rules and Guardrails

Human-in-the-Loop

Example:

Best Practices for A2A Design

Use Cases of A2A in Salesforce

Customer Support

Sales

Order Management

Finance

Future of A2A in Salesforce

Future systems will:

Technologies like:

Also Read

Final Thoughts

Written by

Dev Anand

Contributor of the month

Mykyta Lovygin

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