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Build a Multi-Agent AI System

Multiple Specialised Agents Working Together Without Going Rogue

We architect and build multi-agent systems where each agent has a defined role, a constrained tool set, and communicates through a governed orchestration layer. Bounded autonomy, human-in-the-loop escalation, and BoundrixAI governance at every inter-agent call.

The Problem We're Solving

You need AI that can do more than answer questions — research a topic, draft a document, validate it against policy, and route for approval. Simple LLM chains break at scale. You need agents that collaborate reliably in production.

6–10 weeks
Production-ready delivery
80%
Task automation rate
100%
Inter-agent calls governed

How We Do It

Week 1: Define agent roles, tool permissions, and inter-agent communication contracts

Week 2–4: Build orchestrator and specialist agents using LangGraph or AutoGen

Week 4–5: Integrate tool calling: web search, internal APIs, document retrieval, databases

Week 6: Implement Human-in-the-Loop escalation gates for high-stakes decisions

Week 7–8: BoundrixAI governance wraps every inter-agent call; load and adversarial testing

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Relevant Industries

AI SaaS StartupsFintechLegaltechEnterprise OperationsHealthtech

FAQ

Build a Multi-Agent AI System, FAQ

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