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.
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.
- Always first Roadside AssistanceSpecialist agent
- ClaimsSpecialist agent
- General ServiceSpecialist agent
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.
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
- 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.
| Pattern | Best fit | Watch 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.
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Specialists first
We find where work naturally splits between agents, where data lives, and who owns each part.
-
Specialists first
Each specialist agent is built and tested on its own before it joins the team.
-
Orchestrator second
We connect the specialists, write clear agent descriptions, and add deterministic rules for critical steps.
-
Orchestrator second
We run real multi-topic conversations to check that requests land in the right place and context carries across.
-
Expand last
We add more agents only after the first team behaves predictably in production.
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
Why Concret.io
Why Teams Choose Us for Agentforce Multi-Agent Work
Salesforce depth since 2013
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.
We Build AI Products Ourselves
We run our own AI products, including Lumi, a voice AI agent for customer service, and Hire, an AI voice agent for recruitment. We bring production AI experience, not just platform knowledge.
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.
FAQ

