The first wave of enterprise AI was about building models. The second wave was about building applications. The third wave — happening now — is about assembling pre-built agents into workflows. AI agent marketplaces are the infrastructure making this possible.
What an AI Agent Marketplace Provides
A marketplace offers pre-built agents for common business functions: sales pipeline analysis, financial reporting, inventory optimisation, HR analytics. Each agent comes with predefined metrics, data source connectors, and conversation templates — reducing deployment time from months to days.
The Build vs Buy vs Assemble Decision
Building every agent from scratch is expensive and slow. Buying a monolithic AI platform locks you into one vendor. Assembling pre-built agents from a marketplace — then customising for your specific needs — offers the best balance of speed, cost, and flexibility.
Evaluating Marketplace Agents
Key criteria: does the agent connect to your data sources? Does it respect your governance policies (RBAC, audit trails)? Can it be customised without code? Is the underlying prompt logic transparent? Agents that can't answer 'yes' to all four are not enterprise-ready.
The Future: Composable AI
The trajectory is clear: enterprises will compose workflows from multiple specialised agents — a sales agent feeds a forecasting agent feeds a procurement agent. Marketplaces that support agent-to-agent communication and orchestration will win. Those that treat agents as isolated tools will lose.
核心要点
- What an AI Agent Marketplace Provides
- The Build vs Buy vs Assemble Decision
- Evaluating Marketplace Agents
- The Future: Composable AI
总结
The trajectory is clear: enterprises will compose workflows from multiple specialised agents — a sales agent feeds a forecasting agent feeds a procurement agent. Marketplaces that support agent-to-age...
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