Sync-o is an AI-powered Atlassian Marketplace app that eliminates documentation drift between Jira and Confluence. Engineering teams using Atlassian Cloud lose hours every sprint to the same problem: code ships, tickets close, but the Confluence runbooks, architecture docs and onboarding pages that describe how the system works fall out of date and are usually noticed only when a new hire onboards or an on-call engineer reaches for a runbook during an incident and finds it describes a version of the system that hasn't been in production for months.
Sync-o solves this by treating Confluence as a downstream artifact of Jira. When an engineer transitions a Jira ticket to Done, Sync-o reads the linked Confluence pages, identifies the sections affected by the ticket's changes, performs a surgical AI written edit, and posts a link to the version history in the comment section of the Confluence page. Unlike batch-rewrite tools, Sync-o only edits the specific paragraphs impacted, never the whole page, so reviews take seconds.
The product is built for engineering, SRE and platform teams at companies running Atlassian Cloud who treat documentation as critical infrastructure. It deploys as a native Atlassian Forge app with no admin configuration, no webhooks, and no separate platform to learn. AI inference defaults to Google Vertex AI Gemini hosted in the EU (free and GDPR-compliant out of the box) and teams with enterprise AI contracts can bring their own Claude, Gemini, ChatGPT or Azure OpenAI keys to route inference through their existing data-residency and security agreements. The whole stack is EU-resident by default (AWS Lambda + DynamoDB in eu-west-1, Gemini in europe-west1).
Pricing is per-user per-month on the standard Atlassian Marketplace pricing model, starting at $1.80/user/month after a 30-day free trial. Sync-o monetises by reducing the engineering hours wasted writing or hunting for accurate documentation, typically a 3-5× payback in the first month for a team of 50 engineers, with the bigger compounding benefit being reduced on-call incident time when the runbook actually matches production.
