Agent type

Conversational

Dialogue-first agents designed for inbound and outbound communication, capable of maintaining multi-turn context, routing intents, and escalating to humans when confidence drops.

Capabilities

  • Intent routing with confidence thresholds
  • Multi-turn context carryover
  • Tone and persona controls
  • Fallback escalation to human agents
  • Multilingual conversation handling

Limitations

  • Not ideal for heavy batch processing tasks
  • Requires strong guardrails to prevent off-topic drift

Best for

Best for

Customer Support Agent

Support teams handle 60-80% of tickets that are repetitive FAQs, draining agent time and creating inconsistent responses. As ticket volume scales, hiring linearly is unsustainable and new agents take weeks to ramp up on product knowledge.

Open Guide

Voice Agent

Voice support scales poorly with manual IVR trees, rigid menu options, and long hold times. Customers abandon 60% of calls after 2 minutes on hold, and adding voice capacity requires hiring and training human agents.

Open Guide

Email Automation Agent

Email teams handle 200-500 messages daily with repetitive follow-ups and inbox spikes around product launches and incidents. Average response time stretches to 6-12 hours, while customers expect replies within 1 hour.

Open Guide

Recommended tools

Anthropic

Claude Opus 4.6, Sonnet 4.5, and Haiku 4.5 with extended thinking, agent teams, MCP integration, and up to 1M token context windows.

usage-based

Open Tool

Botpress

Conversational AI platform with pay-as-you-go AI spend model, visual building studio, knowledge base, human handoff, and multi-channel deployment.

pay-as-you-go

Open Tool

Notion

Knowledge workspace with Notion AI Agent 3.0 for autonomous multi-page work, MCP integration for external tool connectivity, and rich API access.

freemium

Open Tool

OpenAI

GPT-5.2 and o-series reasoning models with the Responses API, AgentKit, and built-in tools for web search, code execution, and computer use.

usage-based

Open Tool

Voiceflow

Conversational AI platform with credit-based pricing, multi-model LLM support, voice agent capabilities with concurrent calls, and knowledge base with up to 10K sources.

credit-based

Open Tool

Architecture layers

PresentationLLMSessionsOrchestration

Related use cases

Related use cases

Customer Support Agent

Support teams handle 60-80% of tickets that are repetitive FAQs, draining agent time and creating inconsistent responses. As ticket volume scales, hiring linearly is unsustainable and new agents take weeks to ramp up on product knowledge.

Open Guide

Meeting Summarizer

Teams lose 30% of meeting decisions to poor note-taking. Action items go unassigned, follow-ups slip through cracks, and attendees spend 15 minutes post-meeting writing recaps instead of executing on outcomes.

Open Guide

Voice Agent

Voice support scales poorly with manual IVR trees, rigid menu options, and long hold times. Customers abandon 60% of calls after 2 minutes on hold, and adding voice capacity requires hiring and training human agents.

Open Guide