Canny vs Forethought
Side-by-side trajectory, velocity, and editorial themes.
Canny is wrapping AI and MCP around its Ideas + Autopilot stack to close the feedback loop end-to-end.
Canny is shipping at steady weekly cadence across three threads. The Ideas beta launched in December keeps gaining depth — two-way status sync with GitHub/Jira/ClickUp/Linear, Ideas-to-Portal status mapping. The MCP server (introduced in February for ChatGPT and Claude) is gaining tooling — list insights, list comments, merge ideas via MCP, and accuracy fixes for long conversations. AI features inside Canny — Smart Replies with custom instructions, Autopilot's 'no feedback found' transparency view — continue to mature.
Canny is pivoting from 'feedback voting board' to AI-driven feedback intelligence platform with native PM integration. The Ideas hierarchy gives the data shape AI can work on, the MCP server lets AI tools work on it natively, Autopilot ingests feedback from any source, and Smart Replies closes the user-facing loop. Two-way PM status sync makes Canny the connective tissue between user feedback and engineering execution.
Expect Ideas to graduate from beta and become the default. More MCP tools likely follow — especially write-side actions beyond merge — plus broader Autopilot ingestion (Slack already; possibly Front, Intercom, Zendesk threads). AI-powered prioritization and roadmap recommendations look like the obvious next layer.
Forethought pivots from answering questions to executing outcomes via Orchestrator and Browser Agents.
Forethought is in the middle of a deliberate platform-narrative shift. April shipped two foundational pieces: Orchestrator, which routes business signals into deterministic AI actions across channels, and Browser Agents, which can take actions in apps that don't expose APIs. Test Suite landed alongside as the validation tooling for agent behavior before deployment. The CEO's 'Next Chapter' post frames the same direction in plain language: AI moving from answering to resolving.
The company is repositioning from a customer-support intent and triage AI to an outcomes-execution layer for enterprise customer experience. Browser Agents are the bet that the long tail of CX work lives in apps without proper APIs — making the agent capable of clicking through them is the moat. Orchestrator and Test Suite are the deterministic-control and validation pieces that make this defensible enough for enterprise procurement.
Expect a tightening of the integration story — pre-built Browser Agent flows for common CX systems like Zendesk and Salesforce Service Cloud — and an explicit outcomes-priced packaging emerging over the next quarter as the company moves past per-seat or per-resolution pricing.
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