Forethought is an enterprise-grade, multi-agent AI platform designed to transform customer support operations. The platform combines several specialized AI agents that work together across the full support workflow: identifying knowledge gaps, resolving customer inquiries autonomously, classifying and routing incoming tickets, assisting human agents in real time, and automatically scoring agent quality. The system is trained on each customer's historical ticket data and help center content, enabling it to deliver accurate, personalized responses from day one without requiring decision tree configuration.
The Solve agent operates omnichannel, handling customer interactions across chat, email, voice, Slack, mobile, and API with agentic reasoning that understands intent and executes Autoflows to resolve issues end-to-end. The Discover agent analyzes support interactions to surface patterns, detect knowledge base gaps, and generate draft articles and workflows to keep content current. The Triage agent applies AI-driven classification to tag tickets by sentiment, language, urgency, and custom models, ensuring every ticket reaches the right agent without manual sorting.
Human agents are supported through the Assist AI copilot, which provides real-time ticket summaries, step-by-step resolution guidance, and intelligent response generation—all within the existing helpdesk interface. The Agent QA module automatically evaluates 100 percent of support interactions against customizable rubrics, giving CX leaders complete visibility into team performance without manual sampling.
Forethought supports 70 or more integrations with helpdesks, CRMs, knowledge bases, and contact center platforms including Zendesk, Salesforce, Intercom, Gorgias, Five9, and Genesys. The platform meets SOC 2 Type II, HIPAA, GDPR, CCPA, and NIST Cybersecurity Framework standards. Reported outcomes across customers include up to 98 percent resolution rate, 55 percent average reduction in first response time, and 15x average return on investment.
- Automatically resolve customer inquiries across chat, email, and voice without agent involvement
- Detect knowledge base content gaps and generate new help articles using AI-surfaced insights
- Classify and prioritize incoming support tickets by sentiment, urgency, and language automatically
- Route tickets to the most appropriate human agent using pre-built or custom triage models
- Empower human agents with real-time summaries, resolution guidance, and AI-drafted replies
- Score 100 percent of support interactions for quality assurance without manual ticket sampling
- Deploy multilingual AI support agents for global customer bases across multiple product lines
- Reduce ticket volume and first response time by automating repetitive customer service workflows
- Integrate agentic AI support natively into mobile apps for real-time in-app customer assistance
- Provide internal teams with instant answers to questions directly within Slack channels
- Analyze historical support data to generate Autoflows and identify automation opportunities

