Your engineers are already using AI agents.
Now manage them.
Fleet gives engineering leaders full visibility and governance over autonomous AI coding agents — across every repo, every team, every tool.
Works with
The shadow AI problem
Your engineers are already running agents.
You just can't see what they're doing.
Claude Code sessions are spinning up in every repo, writing code, opening PRs, sometimes merging them. No central log. No approval gates. No run-time limits. Every team invents its own duct-tape governance — or ships without any.
Agent merge activity peaks outside working hours — nobody's watching
Of teams have a unified audit trail for AI-generated code today
Median time to detect a misbehaving agent once shipping starts
Without Fleet vs. With Fleet
From agent sprawl to a governed control plane
Most teams don't have a strategy for autonomous agents. They have a mess. Fleet turns it into infrastructure.
Without Fleet
- Shadow AI in every repo — no inventory, no policy, no ceiling
- PRs merged at 3am by agents with no reviewer and no audit trail
- Every team reinventing its own approval process in Slack
- No way to quarantine a rogue agent before it ships to prod
- Agents run unbounded — no run-time limits, nobody knows what's burning hours
- Compliance teams blocked from answering "who wrote this code?"
With Fleet
- One control plane — every agent, every repo, every action logged
- Approval gates enforced before merge, with human sign-off where required
- Shared policies, run-time budgets, and agent roles defined once at the org level
- A separate risk model that auto-quarantines agents at critical risk
- Per-agent run-time budgets and run tracking, visible to leadership
- Complete audit trail on every line: who proposed, who approved, who merged
What engineering leaders get with Fleet
Visibility, control, and governance for your AI-powered engineering team.
Autonomous Release Pipelines
Define multi-stage workflows that move code from development through review to production — with human approval gates where you need them. No manual handoffs.
Full Visibility Into Every Agent
See what every AI agent is doing, right now. Start, stop, and manage any agent instantly. No more shadow AI in your codebase.
Agents That Coordinate Themselves
When a developer agent creates a PR, a reviewer agent picks it up automatically. No Slack pings, no manual assignment. Agents react to events across repos in real time.
Risk Detection Before Damage
Fleet evaluates every agent across 6 dimensions, and a separate risk model auto-quarantines any agent that hits critical risk — before it becomes an incident.
Works With Your Existing Stack
Fleet runs your agents on Claude Code and plugs into GitHub, Linear, Jira, and MCP. Your developers keep their workflow — you get the governance layer on top.
Enterprise-Grade Permissions
Mirror your org structure — CEO to intern. Control who sees what, who approves what, and the run-time budgets each team's agents operate under.
From setup to shipping in 5 minutes
No containers. No cloud accounts. No DevOps overhead.
Configure
Define your agent teams, roles, and approval rules in a simple configuration file. 120+ templates mean you don't start from scratch.
Deploy
One command. No containers, no cloud accounts, no DevOps overhead. Fleet runs on your infrastructure in under 5 minutes.
Deliver
Agents react to events in real time. Code gets written, reviewed, approved, and merged — autonomously, with full audit trails.
See the config and CLI commands →
What Fleet makes possible
Engineering teams using Fleet are shipping faster with fewer handoffs and full governance.
Increase in weekly PR throughput when agents handle writing, review, and merging autonomously.
Reduction in review bottleneck time. Dedicated AI reviewers pick up every PR in minutes, not hours.
Per parallel agent slot per month. A 10-agent team costs less than a single day of senior engineer salary.
Projections based on typical team deployments. Results vary by team size and workflow complexity.
Built for teams that need governance
Fleet's data plane runs on your infrastructure. The dashboard and analytics live at app.fleetctl.ai. Fleet meets your security and compliance requirements out of the box.
Data sovereignty
Run the model on Bedrock or Vertex in your own cloud. Your source code stays private.
Audit trail
Every agent decision logged — your compliance team will thank you
Run tracking
See cumulative run time, total runs, and last activity for every agent
Role-based access
Mirror your org chart. Department heads see their teams; developers see their repos.
Built for reliability at scale
Installs in seconds. Zero infrastructure to maintain. Your fleet is production-ready from day one.
See Fleet in action
Book a 15-minute demo and see how Fleet gives you visibility and control over your AI-powered engineering team.