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Multi-Agent AI

What is multi-agent AI?

A single chatbot answers questions. A multi-agent system gives you a coordinated team of specialists that think, decide and act together — like a real company.

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The fundamentals

Why one model is not enough

Specialization

Each agent masters one domain instead of being a generalist.

Coordination

A supervisor routes work and convenes the right experts.

Shared context

Agents pass findings and decisions between each other.

Parallelism

Many agents work simultaneously, not in a single queue.

Governance

Human oversight and signed decisions at every step.

Memory

Company DNA gives the whole team long-term context.

How Procux does it

A supervisor and 16 specialists

Procux runs on an orchestration supervisor that coordinates 16 executive agents. Ask a question and it routes to the right leader — or assembles a cross-functional council — then checkpoints every step.

Central orchestration supervisor
16 specialized executives
Resumable, checkpointed runs
Evidence trail on every decision
Under the hood

From prompt to outcome

STEP 1

Route

The supervisor classifies the request and selects executives.

STEP 2

Reason

Each agent works its domain, calling skills and data.

STEP 3

Coordinate

Agents exchange context and resolve trade-offs.

STEP 4

Deliver

A signed, auditable outcome — ready to action.

Experience a real AI team

See what 16 coordinated executives can do for your business.

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