Configure machine boundaries
Control the root directories and repositories available on each connected computer.
GRAIN FOR ENTERPRISE
Scale AI execution without losing control.
Coordinate hosted models, connected machines, repositories, files, and specialized agents through visible Missions with explicit owner controls.
YOU ASKEDModernize this operating workflow across the team with review gates.
1PlanGrain Models2BuildWorkhorse3ReviewHuman + AI
READY TO REVIEW1Governed workflow✓2Owner controls✓3Review record✓
CONTEXT
BOUNDARIES
ROUTING
VISIBILITY
APPROVAL
AUDIT
CONTROL PLANE FOR AI WORK
Give teams leverage and owners visibility.
Grain separates the outcome from the execution engine, so organizations can choose where work runs and how it is reviewed.
Set project branch defaults
Choose the base branch Missions should use instead of assuming main or master.
Verify model readiness
Check whether a configured model responds correctly before treating it as available for routing.
ONE CONTINUOUS MISSION
The work moves. The context stays.
Enterprise adoption works when teams gain speed without hiding execution. Grain keeps the scope, route, output, and decision points in view.
Governed workflowOwner controlsReview recordDeployable result
- 01
Define the operating boundary
Select the projects, machines, models, tools, and files the work is allowed to use.
- 02
Run through one Mission
Keep delegation, status, questions, artifacts, and handoffs visible across the entire run.
- 03
Require the right decisions
Place human review before publishing, spending, sensitive changes, or other consequential actions.
READY WHEN YOU ARE
Bring one serious workflow. We will map the Mission.
See how Grain can fit your teams, machines, model stack, repositories, and review requirements.
Book a demo