Develo Multi-Agent: Orchestration for Teams of AI Agents

When a workflow is too complex for a single AI agent, you need a team: specialized agents, each with its own tools, context and policies, coordinated by a supervisor. Develo Multi-Agent is our orchestration platform for exactly that.

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Why multi-agent?

A single agent with 40 tools is a brittle agent: prompts collide, permissions blur, quality drops. Multi-agent orchestration splits responsibility — a support agent sees only support tools, a billing agent only billing data — while a supervisor routes work, enforces policies and escalates to humans.

Capabilities

Supervisor pattern: a coordinating agent decomposes goals and delegates
Specialized agents with scoped tool access and dedicated guardrails
Shared, persistent context so agents collaborate instead of repeating
MCP-based tool registry: any system becomes a governed tool for any agent
Human approval checkpoints for high-stakes actions
Observability console: per-agent traces, costs, success and escalation rates
Evaluation suites per agent, run on every change

Reference architecture

Goal / conversation
        ↓
Supervisor agent (routing, policy, escalation)
        ├── Support agent   → CRM, orders tools
        ├── Billing agent   → ERP, invoices tools
        ├── Ops agent       → logistics, catalog tools
        └── Human operators (approval & takeover)
Shared context store · MCP tool registry · observability

Use cases

Customer operations

Support, billing and logistics agents working one conversation.

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Internal copilots

Teams of agents that run multi-step operational workflows.

Complex back-office automation

Invoice reconciliation, exception handling, reporting.

Research & analysis agents

Specialized agents that gather, verify and summarize.

Design your agent team

Tell us the workflow you want to automate and we'll propose the agent topology and a PoC plan.