Automate your Productboard intake with an AI agent

Where does the feedback that never reaches the inbox live?

In the meeting recap, the support thread, the sales call summary and the community post.

A companion reads all of them signed in as you and turns each real request into a note: title, the customer’s own words in the body, your existing tags, and a source label saying where it came from.

The source label is what pays off in a month. A note tagged with its origin can be counted and traced back. Pulling records out of unstructured conversations is the data extraction pattern, with the feedback inbox as the destination.

Features written with the evidence attached

When a theme is real, a companion drafts the feature: a name that describes the outcome, a description saying who is asking and what breaks today, the status your workspace actually defines, and the parent product or component so it lands in the taxonomy.

Existing features get patched too, which covers the unglamorous half: the description that is nine months stale, the status that still says In Progress on something shipped in June.

How much of this waits for you?

Every write.

Notes, new features and patches are all staged, which is right for a board the whole company reads as the roadmap.

The research workflows cover the same reading-then-writing loop pointed outward.

Get the evidence in before you prioritise

Evidence arrives in email, calls, tickets and threads.

A companion files one note per real request, in the customer’s words, with its source recorded, so the number you prioritise on is a real count.

Productboard’s own tooling, as of this writing, sits on the scores, drivers and roadmap views once the evidence is in it.

Frequently asked questions