Agentforce Multi-Agent Orchestration Experts

Multi-Agent Orchestration for Salesforce, Designed by Architects

Your first agent worked. Then everyone asked it to do more. We split that overloaded agent into a team of specialists with one orchestrator in front, so customers get one conversation and you get a system you can test, govern, and grow.

  • 8x Salesforce MVP
  • 200+ Salesforce certifications
  • On Salesforce since 2013

The single-agent ceiling

Every Agent Starts Small. Then It Gets Asked to Do Everything.

The agent did not get worse. It got crowded. One agent can only hold so much intent before its reasoning starts to slip.

One agent, six months: every new topic stacks onto the same set of instructions.

Sound Familiar?

You have outgrown one agent if:

0 of 5 apply

Talk to an Expert

Live demo

Watch the Fix: One Conversation, Four Agents, Built on Agentforce

Our architect and Salesforce developer walk through a working multi-agent setup for an auto insurance service portal.

The customer chats with one agent. Behind it, an orchestrator reads each request and hands it to the right specialist: roadside assistance, insurance claims, or general service. Each specialist was built, tested, and tuned independently.

How it works

The Multi-Agent Architecture Behind the Demo

Multi-agent orchestration is a setup where one orchestrator agent understands what the user needs and routes each task to a specialist agent built for that job. The user sees one conversation. The work happens across a team.

Customer · one conversation
Orchestrator AgentReads intent, routes the work
Sub-AgentVerifies customer identity
Hybrid reasoning: LLM routing plus a fixed rule
  • Always first Roadside AssistanceSpecialist agent
  • ClaimsSpecialist agent
  • General ServiceSpecialist agent
The demo setup: one orchestrator with an identity sub-agent, routing to three connected specialist agents.

Orchestrator Agent

The front door. It reads intent, picks the right specialist, and keeps the conversation together. It routes the work; it does not do the work.

Specialist Agent

Independent Agentforce agents, each with one job, its own instructions, and its own actions. You can test and change one without touching the others.

Sub-Agent

Smaller tasks, like verifying a customer's identity, that live inside the orchestrator instead of becoming separate agents.

Hybrid Reasoning

LLM judgment for understanding requests, plus deterministic rules for the steps that must always run the same way, such as handling urgent roadside requests first.

How to Build Multi-Agent Orchestration in Salesforce Agentforce

The step-by-step build behind this demo: orchestrator setup, connected agents, sub-agents, and hybrid reasoning.

What we build

Multi-Agent Orchestration Services
for Salesforce Teams

We design the whole system, not just the agents. That means routing, handoffs, data access, and who owns what.

Agentforce Orchestration

An orchestrator and a set of specialist Agentforce agents in your org, with agent descriptions written as routing signals and Agent Script for steps that cannot be left to chance.

  • Orchestrator
  • Specialist agents
  • Agent Script

Custom Agents Connected to Agentforce

When a job needs more than Agentforce offers, we build custom LangGraph and RAG agents and connect them to your Salesforce agents, so you do not run two disconnected AI stacks.

  • LangGraph
  • RAG
  • Agentforce

Cross-Vendor and Cross-System Agents

Agents that work with Google, Microsoft, or other platforms over the agent-to-agent protocol (A2A), and tools reached through MCP.

  • A2A
  • MCP
  • Google
  • Microsoft

Governance and Observability

A named owner for every agent and for the orchestrator, human escalation paths, access policies, and session tracing so you can follow any request from start to finish.

  • Owners
  • Escalation
  • Access policies
  • Session tracing

Architecture choice

Which Multi-Agent Orchestration Framework Fits Your Setup?

There is more than one way to connect agents on Salesforce. The right pattern depends on where your data lives and where your users start the conversation.

PatternBest fitWatch out for
Single agent One domain, shared data, narrow scope Hits limits as topics pile up
Single org, multiple agents Several domains in one Salesforce org, one front door Cannot reach data in other orgs
Multiple orgs, multiple agents Separate orgs by region or business unit Identity and context across orgs
Agent to agent protocol (A2A) Delegating to agents on other platforms Trust, registration, and data privacy
MCP tools Calling external systems and APIs Too many tools for one agent

Sometimes one well-built agent is enough. If that is your situation, we will tell you, and we will help you make that one agent better instead.

How we deliver

Specialists First. Orchestrator Second. Expand Last.

Most multi-agent problems happen at the handoffs between agents. Our delivery order is built to catch them early.

  1. Specialists first

    We find where work naturally splits between agents, where data lives, and who owns each part.

  2. Specialists first

    Each specialist agent is built and tested on its own before it joins the team.

  3. Orchestrator second

    We connect the specialists, write clear agent descriptions, and add deterministic rules for critical steps.

  4. Orchestrator second

    We run real multi-topic conversations to check that requests land in the right place and context carries across.

  5. Expand last

    We add more agents only after the first team behaves predictably in production.

Build sequence

Step 5 of 5: Expand When Stable

You choose how we work together:

  • We build and hand over
  • We build and run it with you
  • We build, operate, and transfer it to your team

New to Agentforce? Start With the Complete Guide

What Agentforce is, how agents use data, reasoning, and actions, and where it fits in your business.

Why Concret.io

Why Teams Choose Us for Agentforce Multi-Agent Work

Salesforce depth since 2013

8x
Salesforce MVP leads our work
200+
Salesforce certifications
100+
Projects delivered
15+
AppExchange apps

Architects, Not Configurators

Agentforce makes it easy to add agents. Making them work together reliably is an architecture job. Our work is led by an 8x Salesforce MVP, with 200+ Salesforce certifications on the team.

Salesforce Depth Since 2013

More than 100 projects delivered, plus 15+ AppExchange apps. Every consultant works on one full-time project at a time, and you only pay for scope you approve.

Contact

See Multi-Agent Orchestration Working Before You Build Yours

Watch the demo, then bring us your use case. We will map where your agents should split and tell you honestly if one agent is enough.

  • We map where your agents should split.
  • We tell you honestly if one agent is enough.
  • You only pay for scope you approve.
Watch Demo

FAQ

Questions Buyers Ask Us First

What is multi-agent orchestration in Salesforce?v
It is a way to run several specialist Agentforce agents behind one orchestrator agent. The orchestrator understands each request and routes it to the right specialist, so users get one conversation while each agent stays focused on one job.
When do I need more than one agent?v
When one agent covers too many topics, routes requests to the wrong place, or needs data from another org or system. If your use case is narrow and stays in one domain, a single agent is usually the better choice.
Is multi-agent orchestration the same as A2A?v
No. Orchestrating several agents inside one Salesforce org uses connected agents. The agent-to-agent protocol (A2A) is an open standard for agents on different platforms to work together, such as an Agentforce agent and a Google or Microsoft agent.
How many specialist agents can one orchestrator manage?v
Salesforce currently recommends no more than seven connected agents per orchestrator. We usually start with two or three and add more once routing and handoffs are stable.
Can you connect custom agents to Agentforce?v
Yes. We build custom agents with frameworks like LangGraph and connect them to Agentforce, so your Salesforce agents and your other AI agents work as one system.
How is Agentforce priced for multi-agent setups?v
Agentforce pricing has several models, including Flex Credits and per-conversation pricing, and each agent action can consume usage. We model the expected usage with you before you commit. Our pricing guide below explains the current options.
Do you only work with Agentforce?v
No. Agentforce is our default when your data and users are in Salesforce. When the job needs it, we combine Agentforce with custom agents, MCP tools, and agents on other platforms.