Author: Brett Kraiger

Automatically transcribes customer interview recordings and uses AI to extract key insights, pain points, feature requests, and quotes, then logs them to Productboard for product team review.

Monitors workflow duration, concurrency, and compute type to identify expensive GitHub Actions jobs, then suggests optimisations like caching, matrix tweaks, or moving heavy steps elsewhere.

It sends approval requests to managers or owners with all the context they need and a simple approve/reject button. The decision is logged automatically, and the workflow continues without scheduling meetings or chasing people down.

Automatically converts valuable Slack Q&A threads into structured Help Scout knowledge base articles using AI, transforming tribal knowledge into searchable documentation without manual writing.

Creates a support ticket (or alerts CSM) whenever a refund is issued in Stripe so someone can follow up, understand the issue, and save the relationship.

Pulls Amplitude feature usage metrics and sends stakeholders a digest showing adoption trends, power users, and drop-off risks.