Route feature requests to owners
Analyze each incoming feature request, assign its category with predefined criteria, log it in your feature request tracking, and notify the owning team so customer feedback management never loses a follow up.
Copied
When a new feature request is submitted through [feedback form tool, e.g. Typeform, Google Forms], the automation uses AI to read its content, assign a product area and request type using predefined criteria, and identify the owning product team. It then logs the request in [feature request tracker, e.g. Jira, Productboard, Airtable] with its category and owner, and posts a summary with a link to the record in that team's channel in [team chat platform, e.g. Slack, Microsoft Teams].
Guided by AI
Build your own with Maia
Start with an app-agnostic prompt, then let Maia guide you to the right apps and workflow.
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
%201.svg)
+2
Date
·
Duration
Problem
Teams receive a steady flow of feature requests across channels, but triage is manual and inconsistent. Product managers read each request and forward it to a team by hand. Items are misrouted, priorities get unclear, and follow ups slip through.
.avif)
+2
Date
·
Duration
Solution
When a new feature request is submitted through the feedback form, the automation uses AI to read its content, assign a product area and request type using predefined criteria, and identify the owning product team. It then logs the request in the feature request tracker with its category and owner, and posts a summary with a link to the record in that team's chat channel.
+2
Date
·
Duration
Impact
Every feature request lands with the team that owns it and a clear next step, so customer feedback shapes the roadmap instead of getting lost.
Benefits
+2
Date
·
Duration
Fewer misrouted requests
+2
Date
·
Duration
Faster request triage
+2
Date
·
Duration
Reduced triage workload
+2
Date
·
Duration
Fewer forgotten follow ups
Who is this for?
Success stories
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
Similar use cases
Find inspiration by the type of content that fits your goals.
Date
·
Duration
Report LLM spend against budgets
Every week, the automation pulls each employee's AI usage and cost for the current month from the AI platform's usage reports and reads their monthly budget, team, and manager from the budget sheet. It emails each employee a report of their usage against their budget. It then totals usage by team, compares each total with the team budget, and emails each manager a team report showing spend against budget and the employees who exceeded theirs.
Date
·
Duration
Route access requests to owners
When an employee sends an access request in team chat, an AI agent interprets it, identifies the specific app or resource being requested even when described informally, and locates the appropriate owner from an internal registry. The agent then routes the request to that owner with the relevant context for approval.
Date
·
Duration
Assign backlog tickets to owners
On a recurring schedule, an AI agent reviews unassigned tickets in the project tracker backlog, interprets the context of each one, and weighs it against team assignment criteria to identify the most appropriate owner. It assigns each ticket to that team member and moves its status from backlog to active.