Customer stories
AI-assisted delivery founders and product owners can explain after the demo
The reference deployments below share the same discipline: humans own intent, automations stay bounded, decisions land in the Inbox, and evidence stays attached to the work.
If the product vocabulary is new to you, start here → /docs/orientation/vocabulary.
Why teams adopt Ship
The delivery problem Ship actually solves
Throughput
Useful speed without mystery work
Agents can take repeatable review work, but humans keep the product decision. The win is work that moves with ownership, policy, and evidence, not a bigger pile of unexplained activity.
Governance
Audit trail is a side-effect, not a project
Every important action should point to a tracker item, branch, PR, check, comment, or knowledge article. Security and compliance read the same trail the team uses.
Risk
Boring architecture, no proprietary control plane
Versioned policies, portable integrations, and reviewable repo changes keep vendors replaceable. The method survives a tool migration because the story is yours.
Stories
Reference deployments
Each case follows the buyer arc: situation, complication, resolution, measured outcome, evidence. Engineering depth lives in the docs; this page is for buying committees.
Next step
Run the same loop in your repo this week
The workspace is open source and built around the same method. Start with a workspace, connect a repo and tracker, set policies, seed knowledge, and keep evidence attached to every automated step.