Forethought
Enterprise AI agents for end-to-end customer support automation
Enterprise·All audiences·API available
Key strengths
Multi-agent AI system covering the full customer journeyTrained on past tickets and help center content for fast deploymentOmnichannel support across chat, email, voice, and SlackIntelligent ticket triage and classification with custom modelsProven ROI — 15x average return reported by customers
Enterprise pricing
San Francisco, USA
Founded 2017
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Technical Setup & Integration
Supported Channels
- Chat — Embeddable widget or headless API for custom front-ends
- Email — Automatic email triage and resolution
- Voice — Real-time AI call resolution
- Slack — In-workflow support for internal or customer-facing Slack channels
- Headless — REST API to embed AI agents into any proprietary system
Agent Architecture
Forethought's multi-agent system deploys discrete, collaborating agents:
| Agent | Function |
|---|---|
| Discover Agent | Surfaces knowledge gaps and recommends article generation |
| Solve Agent | Omnichannel end-to-end ticket resolution |
| Triage Agent | ML-based ticket classification, tagging, prioritization, and routing |
| QA Agent | Scores 100% of human agent interactions automatically |
| Copilot | Real-time next-best-action suggestions inside the helpdesk UI |
Helpdesk Integrations
Native connectors are available for Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, and others. Each integration syncs ticket metadata, conversation history, and knowledge base content to keep AI models current.
Customization
- Pre-built or custom classification models with configurable intents and routing rules
- Business policy configuration to govern agent decision-making
- API endpoints for headless deployments allow full UI/UX control
