Forethought

What Forethought does

Forethought offers advanced AI agents for customer experience (CX), designed to be enterprise-ready and support every customer moment. These AI agents think, act, and improve, learning from past tickets and help center content to deliver accurate, personalized customer service. The platform utilizes a multi-agent system where AI agents collaborate across the customer journey to identify, solve, classify, and support teams. Forethought aims to deliver faster resolutions, empower agents, and create exceptional customer experiences, supporting billions of interactions for leading companies and generating over $1 billion in ROI. The company is now part of Zendesk, aiming for greater scale, faster innovation, and seamless deployment.

Products

• Forethought Multi-Agent SystemA system of interconnected AI agents that collaborate across the customer journey for end-to-end AI customer support, from insights to resolution.
• DiscoverAn AI agent that uncovers insights from support interactions, detects knowledge gaps, and provides actionable recommendations to generate articles, optimize AI workflows, and lower costs. It analyzes customer behavior and surfaces actionable insights, automatically identifying gaps and drafting knowledge base articles and Autoflows.
• SolveAn omnichannel AI agent that fully resolves customer inquiries from start to finish, delivering personalized, human-like, 24/7 AI customer support across chat, email, voice, and more. It handles routine questions to complex issues with intelligent, action-based workflows.
• TriageAn AI agent that enhances ticket classification with pre-built or custom models to add context, prioritize cases, and tag tickets automatically, ensuring tickets reach the right agent fast. It detects urgency, sentiment, and intent in each ticket.
• AssistAn agentic AI Copilot that empowers human agents with real-time insights, next steps, and intelligent responses with AI workflows, all within their helpdesk. It provides ticket summaries, suggested replies, and in-the-moment AI guidance.
• Agent QAAn AI-powered quality assurance tool that evaluates 100% of support interactions, scoring conversations for empathy, grammar, and resolution quality to help teams improve quality, consistency, and CSAT at scale.
• AutoflowsAgentic AI workflows written in natural language that automate routine tasks or guide human agents through complex policies, improving speed and accuracy across channels. They can be automatically created from natural language processing.

Key capabilities

• Fully Agentic AI agents that reason, decide, and take action
• Trained on customer's data (past tickets and help center content)
• Multi-Agent System for collaborative support
• AI-Surfaced Insights for knowledge gap detection and recommendations
• Omnichannel Agent for 24/7 support across chat, email, voice, mobile, Slack
• Smarter Ticket Classification with pre-built or custom models
• Agentic AI Copilot for real-time agent assistance
• Autoflows for intelligent workflow automation in natural language
• Custom actions for API endpoint connections (e.g., processing refunds)
• CSAT collection
• Insights dashboard
• Ready-to-use ticket triage models
• Multilingual support
• AI QA for scoring 100% of tickets
• Multi-brand management
• Solve API
• Knowledge gap detection and AI article creation
• Autoflow gap detection and generation
• Analytics API
• Enterprise security and governance controls
• Personalized channel experiences
• Custom AI personality per brand
• Conversation-level data access and export
• Performance insights (deflection, CSAT, intent, resolution outcomes)
• AI QA scores, context variables, and workflow-level analytics
• AI-recommended article creation for missing content
• Suggested automation based on recurring issues
• Content Management for quality answers and content generation
• Intelligent Triage with sentiment, intent, and spam models
• Custom handoff models
• Permissions and Logs for security
• Browser Agent to automate tasks in legacy tools without APIs
• Orchestrate AI Actions across systems, triggers, and channels
• Predictive insights and trends
• Automation Impact Insights

Use cases

• Faster resolutions for customer inquiries
• Empowering support agents with AI assistance
• Creating exceptional customer experiences
• Automating routine customer support tasks
• Identifying and fixing knowledge gaps in support content
• Optimizing AI workflows
• Lowering customer support costs
• Resolving issues instantly across any channel (chat, email, voice, mobile, Slack)
• Enhancing ticket classification and prioritization
• Generating articles and optimizing AI workflows
• Reducing response times
• Increasing resolution rates
• Improving self-service rates
• Scaling support without adding headcount
• Maintaining brand consistency and tone across interactions
• Reducing manual work for agents
• Tracking performance metrics (AI deflection, CSAT, resolution time)
• Automating feedback and support for product teams
• Streamlining operations and maximizing impact for CX Ops teams
• Maintaining compliance and protecting customer data for Security & IT teams
• Keeping support content accurate, consistent, and impactful for Content Management teams
• Automating repetitive tasks for Operations teams
• Guiding human agents through complex workflows
• Surfacing relevant knowledge for agents
• Deflecting high-volume questions
• Automating work in systems without APIs
• Coaching and training support teams with objective QA scoring

AI approach

Forethought develops proprietary AI agents for customer service, focusing on understanding intent, reasoning, deciding, and taking action based on business policies. Their multi-agent system learns from historical data (tickets, help center content) and supports various modalities like chat, email, voice, and mobile. They build custom models for ticket classification and handoffs, and utilize natural language processing (NLP) and natural language understanding (NLU). The company emphasizes 'agentic AI' which goes beyond rule-based chatbots to understand context and perform actions.

Tech named: AI agents, natural language processing, natural language understanding, machine learning, generative AI, custom models

Industries served

• SaaS
• Ecommerce
• Fintech
• Healthcare
• Mobile Apps
• Education

What it says sets it apart

• Fully agentic AI that reasons, decides, and takes action, rather than just understanding intent
• Trained on customer's specific historical data and help center content from day one
• Multi-agent system where AI agents collaborate across the customer journey
• Recognized by G2 for ROI and customer satisfaction
• Ability to route customer questions automatically through specific intents (as highlighted by Cotopaxi)
• No-code tools for CX teams to launch, update, and test workflows instantly
• Integration with 70+ helpdesks, CRMs, knowledge bases, contact centers, and API management platforms
• Outcome-based AI solution with measurable ROI (e.g., 15x average ROI, 98% resolution rate)
• Ability to customize AI usage levels and personality per brand
• Comprehensive security and compliance standards (SOC 2 Type II, GDPR, CCPA)
• AI that works alongside agents, designed to support rather than replace them
• Ability to automate work in systems without APIs using a Browser Agent
• Orchestrates AI behavior across systems, triggers, and channels
• Quick to implement and easy to customize, ready on day one
• Focus on practical innovation and measurable outcomes

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.