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Canny Autopilot

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Canny Autopilot is an AI layer inside Canny's feedback platform that automatically captures, deduplicates, and replies to customer feedback, helping product teams prioritize what to build next.

About Canny Autopilot

What Canny Autopilot is

Canny Autopilot is the AI layer inside Canny, the customer feedback management platform that product teams use to collect feature requests, gauge demand, and decide what to build next. The classic problem with feedback is volume: it arrives in support tickets, sales calls, Slack threads, and feedback boards, and most of it never makes it into a structured place where the product team can act on it. Autopilot is built to close that gap automatically, pulling feedback out of those scattered channels and turning it into organized, deduplicated signal.

How it works

Autopilot runs in the background across your connected support and conversation tools. As feedback comes in, it discovers and captures the relevant pieces, links them to existing requests where they match, and surfaces the features being asked for most. Instead of a teammate manually copying a complaint from a support ticket into the feedback board, Autopilot does that triage, so the board stays current without constant grooming. It also keeps the conversation moving by responding to feedback and summarizing long comment threads into the points that actually matter.

Standout features

Automatic feedback discovery

Autopilot scans connected channels and automatically discovers and collects feedback, identifying the most-requested features across all of them. That means insight buried in a support queue or a sales call transcript still reaches the people planning the roadmap.

Smart deduplication

It automatically detects and merges duplicate requests. Anyone who has run a public feedback board knows how quickly the same idea gets posted five different ways; collapsing those into one entry gives you an accurate count of real demand rather than noise.

Smart Replies

Autopilot can automatically respond to feedback with follow-up questions, drawing out the detail product managers need, such as the specific use case or the severity of a problem, without a human having to chase every thread.

Comment summaries

For posts with long discussions, it highlights the key points and recurring pain points so you can read the room in seconds instead of scrolling through dozens of comments.

Integrations

Autopilot connects to the tools where feedback already happens. Documented integrations include Intercom, Help Scout, Zendesk, and Gong for sales-call insight, with a broader ecosystem that ties into the wider Canny platform for roadmaps and changelogs. That lets support, sales, and product all feed the same source of truth.

Who it is for

Canny Autopilot is built for product teams and SaaS companies handling feedback at scale, where the sheer number of incoming requests makes manual sorting impractical. Product managers get a cleaner, deduplicated view of demand; support teams stop being a dead end for valuable feedback. Smaller teams with light feedback volume may not need the automation yet, since the manual Canny workflow can already handle a trickle of requests. The value grows with the amount of feedback you receive.

Common use cases

A typical scenario looks like this: a support agent in Zendesk closes a ticket where the customer asked for a missing export option. Normally that request dies in the closed-ticket archive. With Autopilot, the request is captured, matched against an existing feature post, and the vote count on that post ticks up, so the product team sees real demand building. Multiply that across hundreds of tickets a month and the roadmap starts to reflect what customers actually want rather than what the loudest few posted on the public board. Sales teams get similar value from Gong call insight, where a deal-blocking feature gap mentioned on a call becomes a tracked request instead of a forgotten note. Product managers reviewing a busy post can lean on comment summaries to grasp the debate in seconds, and smart replies keep requesters engaged by asking the clarifying questions a human rarely has time for.

Pricing and plans

Autopilot uses a credit-based model layered on top of Canny. There is a free allotment of credits each month, with higher tiers offering progressively more, and a custom business tier for larger needs. Individual AI actions, such as a smart reply or a comment summary, consume credits, and additional credits can be purchased in blocks. Because credit amounts and prices change, check Canny's pricing page for the current details before committing.

Verdict

Canny Autopilot tackles the least glamorous but most important part of feedback work: making sure good ideas do not get lost in the flood and that duplicates do not distort what is really being asked for. The automatic discovery and deduplication are the standouts, and the integrations with Intercom, Zendesk, Help Scout, and Gong mean it meets feedback where it already lives. For product teams drowning in requests, it turns a manual chore into background automation. Teams with very low feedback volume can probably wait, but at scale it earns its place.

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CategoryBusiness & Productivity AI
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Listing Date2/26/2026

FAQs about Canny Autopilot

It is the AI layer in Canny that automatically discovers and collects customer feedback from connected channels, merges duplicate requests, replies with follow-up questions, and summarizes long comment threads for product teams.
Documented integrations include Intercom, Help Scout, Zendesk, and Gong, plus the wider Canny platform for roadmaps and changelogs, so feedback from support and sales reaches one place.
It uses a credit-based model with a free monthly allotment and higher tiers offering more credits, plus a custom business tier. Individual AI actions consume credits and extra credits can be bought in blocks. Check Canny for current pricing.
It suits product teams and SaaS companies managing feedback at scale, where manual sorting is impractical. Teams with very low feedback volume may not need the automation yet.
Yes. Autopilot automatically detects and merges duplicate requests, so you see an accurate count of real demand instead of the same idea posted in several different ways.