Build an AI agent team that actually delivers
Single agents are limited. Teams of specialised agents working together can handle complex workflows end-to-end. Here is how to design, build, and deploy one.
The Case for Teams
Why agent teams outperform single agents
Single Agent
One massive context window trying to do everything
Agent Team
Each agent has focused context for its specialty
Single Agent
Fails at one step, entire task fails
Agent Team
Isolated failures — other agents continue working
Single Agent
Sequential processing only
Agent Team
Parallel execution across multiple agents
Single Agent
Generic prompts for all tasks
Agent Team
Specialised prompts optimised per role
Team Configurations
Typical agent team compositions
Different workflows need different team shapes. Here are proven configurations we have deployed for clients.
Content Operations
MediumAutomated content pipeline from research to publishing.
Customer Support
Low-MediumIntelligent support routing with automated resolution for common issues.
Data Analysis
Medium-HighContinuous data collection, analysis, and insight delivery.
Development Ops
HighAI-assisted development with automated review, deploy, and monitoring.
Architecture Patterns
How agents work together
Hub & Spoke
One orchestrator directs all specialist agents. Simple, predictable, easy to debug. Best for teams of 2-4 agents.
Pipeline
Agents work sequentially — output from one becomes input for the next. Ideal for linear workflows like content production.
Swarm
Agents self-organise around tasks using shared context. More complex but highly flexible. Best for dynamic, unpredictable workloads.
Build vs Buy
When to build custom vs use a platform
Build Custom When
- •Your workflow is unique to your business
- •You need deep integration with proprietary systems
- •Data privacy and security are critical
- •You want full control and ownership
- •The agent system is a competitive advantage
Use a Platform When
- •The task is generic (basic chatbot, simple automation)
- •You need something running in hours, not weeks
- •Budget is under $2K
- •No custom integrations needed
- •You are testing a concept before investing
Not sure which approach fits? Compare options in detail or book a free discovery call.
Related Pages
Back to implementation planning
Continue with service scope, rollout process, and direct booking options.
FAQ
Questions about agent teams
Why build an AI agent team instead of using a single agent?
Single agents hit context limits, lack specialisation, and struggle with complex multi-step tasks. Agent teams divide work by specialty, maintain focused context windows, and can work in parallel — delivering better results faster.
How many agents does a typical team need?
Most production teams run 3-6 agents. A minimal viable team is usually an orchestrator + 2 specialist agents. Larger teams add reviewers, integrators, and monitors as complexity grows.
Should I build my own agent team or buy a platform?
Platforms work for generic use cases. Custom builds win when you need agents that understand your specific domain, integrate with proprietary systems, or handle sensitive data. Most businesses benefit from a custom approach for core workflows and platforms for commodity tasks.
What technology stack do AI agent teams use?
Modern agent teams typically combine LLMs (GPT-4, Claude, open-source), an orchestration framework, vector databases for memory, tool APIs for actions, and monitoring infrastructure. The specific stack depends on your requirements.
How do agents in a team communicate with each other?
Agent teams use structured message passing, shared memory stores, and event-driven architectures. The orchestrator manages task flow while agents read from and write to shared context. Human-in-the-loop checkpoints ensure quality at critical junctures.
How long does it take to build an AI agent team?
A basic 3-agent team can be production-ready in 2 weeks. Complex multi-agent systems with extensive integrations take 3-4 weeks. We use sprint delivery so you see working agents from week one.
Need rollout help? Start with work options or ask questions on contact.