For Teams

AI doubled your pull requests.
It didn’t double your reviewers.

Your team ships more AI-written code every month. Forge checks it before review, asks for a sign-off where you choose, and keeps one record of what happened, so you ship at AI speed and keep review and production calm. Start by seeing how your team builds today: an admin says “forge, help our team get set up,” and the map below is what it produces.

AI-SDLC map — Acme Engineering

How your team ships software today, and where AI is doing the work.

How you ship today

DiscoveryNo AI

DefinitionAI helps

PlanningAI helps

ExecutionAI does this

Review ⚠Tools unused

HandoffNo AI

ReleaseTools unused

AI does this = AI produces the artifact · AI helps = AI works, a person steers · Tools unused = connected but not used · No AI = no evidence

Where you are today

Piloting

Advise

Review — your ceiling

Automate

A read of your CI, tests, and review evidence — not a limit Forge imposes. You can run anything above it whenever you choose.

What’s slowing you down

Review14 pull requests merged this month with no reviewer. The review tools are connected but unused.

Your workflows

Turned on now

Enabled by this run.

Review a Pull RequestCheck Work Item StatusBuild RecapPlan a Release

Available, above your ceiling

Offered, not enabled. Turn any on whenever you like.

Implement a FeatureFix a BugCut a Release

Run this one first

ENG-231In review for nine days with no reviewer. Review a Pull Request is on — start there.

Illustration from a sample org. Yours is drawn from your own tickets and code.

What changes for the team

Start from how you work today

During guided setup, your AI tool reads the tickets and code it has access to. Forge recommends workflows for the gaps it finds.

Set the approval points that matter

Customize steps, require the skills that matter, and choose where a person approves. Share a workflow across the organization or tailor it for one team.

Explore workflow configuration →

See progress without chasing updates

Workflow results are recorded on the ticket. Engineers keep working in their AI tools; leaders and product managers can follow the work.

Shared workflows

Share the steps, skills,
and approval points.

At each step, the AI is given your standards, the step goes to a suitable model where your tool supports it, and the run stops for a person where you decide. Set it once for the organization, or tailor it for one team.

Implement a Feature

Execute the engineering phase on a tracked work item — handoff, story breakdown, implementation waves, PR review, and delivery.

or just “forge, implement PROJ-412”

# Step Asks you Skills Enabled

Fetch Work Itemfast