Relevance AI

Description

Relevance AI is a hosted enterprise agent platform. The homepage frames it as 'The Enterprise Platform for Agents You Can Trust at Scale' where 'your domain experts and AI agents achieve results together, safely, at enterprise scale.' Core building blocks are Agents ('AI entities that autonomously complete tasks like human employees'), Tools ('no-code workflow builder for integrations and automations'), Knowledge ('RAG solution giving agents access to specific information beyond pre-trained knowledge'), and Workforce ('multi-agent teams where specialized AI agents collaborate on complex tasks'). Approvals and escalations are first-class: 'Approvals and escalations are essential components of Workforce that ensure your AI agents operate with appropriate oversight.'

Solution

An Agent is configured with an LLM core, an instruction set, a set of Tools (no-code workflow tools that wrap integrations), one or more Knowledge bases (RAG), and optionally Sub-agents. The agent autonomously selects tools to call. Sub-agents can be delegated to with Auto-Run for routine tasks or Approval Required for sensitive operations. Workforce is the multi-agent layer: it 'link[s] multiple agents together on a visual canvas to handle complex, multi-step workflows,' adds approvals and escalations as oversight gates, and routes tasks across specialised agents. The 'Workforce Task View serves as your central dashboard for monitoring and managing approval requests.'

Primary use cases

• hosted enterprise AI agent building with no-code tools
• multi-agent Workforce orchestration across domain-specific agents
• human approval workflows for high-risk agent actions
• RAG via Knowledge bases with semantic search
• scaling repetitive knowledge-work tasks 24/7