Autonomous engineering, under enterprise control.
An autonomy ladder you set. Scoped repo access. Per-run permissions. Evidence-based review. Required CI. Spend caps. Isolated execution. Exportable audit logs. AgentLoom is built as engineering infrastructure: predictable, controllable, accountable.
Engineering infrastructure for the enterprise
Governed as delivery infrastructure.
AgentLoom does not bolt governance onto an autonomous agent. The architecture is the control surface. An autonomy ladder decides how much runs on its own — suggestions only, backlog auto-pull, merge under a risk ceiling, follow-ups filed, issues generated, roadmap refreshed — each a switch, off by default, so the organization sets the automation level once and it applies to everyone. Runs use scoped GitHub access for the repo being worked, with no standing org-wide access. Permissions are derived from the task, stack, and repo policy. Approval gates are configured per repo. Review is evidence-based against the issue's acceptance criteria and scored for risk. CI is required before merge. Spend caps per day, month, and run pause work at the ceiling. Run lifecycle events, status transitions, approval decisions, confirmed assistant actions, credential access, code changes, and review outcomes are logged with timestamps, agent role, and cause, and owners can export the trail as CSV or JSON. It is designed for evidence collection, internal audit, and incident review.
Designed to fit your identity stack.
Enterprise SSO via SAML is coming soon, targeting Okta, Microsoft Entra ID, Google Workspace, Auth0, and other SAML 2.0 providers. Today, sign-in is by email and password, Google, or GitHub. SCIM provisioning and finer-grained RBAC are planned Enterprise capabilities. Design partners can shape provider support, rollout sequencing, and policy requirements. Talk to sales about your identity provider and go-live constraints.
Your code, your perimeter.
Each agent run executes in an isolated, ephemeral environment. Source code is fetched from your GitHub installation for the run and the workspace is discarded afterward. Model usage runs on your own Anthropic key or Claude subscription, under your direct agreement with Anthropic — AgentLoom does not proxy your model spend or resell tokens, and a rate-limited or rejected key fails over to a standby you provide. Cloud diagnostics read your Google Cloud, Azure, or AWS account only under a grant you control. AgentLoom's hosted control plane runs on Google Cloud with private-IP databases, scoped service accounts, and Workload Identity Federation. Operational logs and run artifacts are retained for observability and audit according to the active environment policy. Customers with strict data-residency, retention, or isolation requirements should talk to sales about their posture.
Rolled out the way your team works.
Enterprise rollout is guided, scoped, and observable. AgentLoom works with your security, IAM, platform, and repo-owner teams to define the first scope: one team, one repo, one ticket class. Together, you validate connector permissions, review the setup PR, run a dry run, and decide the go-live gate. Enterprise can support annual contracts, private pricing and contracted work packs, invoice-based billing, vendor security review, DPA, and custom MSA conversations.
Tell us about your engineering org.
Share your security posture, identity stack, repo model, and rollout timeline. We will scope a pilot that fits your controls and walk it through security review with you.