Use Cases
How teams use Modulo to govern AI agents in their SDLC.
Cost & Spend
Governance
Audit Trail for AI-Generated Code
A hash-chained, append-only audit trail plus a versioned snapshot for every run, so you can prove who approved what an AI agent changed.
Govern Coding Agents Across Teams
Org-level policy, role-based access, approval gates, and one audit trail for coding agents spread across many repositories and teams.
Integrations
What Modulo Does With GitHub
The GitHub connector's read and write operations, GitHub Actions triggering, and how Modulo gates agent pull requests without replacing branch protection or CODEOWNERS.
Modulo With Your Existing Agent Runtimes
Agents run in your infrastructure; Modulo dispatches to them, gates the handoffs, and records the result. It adds governance around the runtime you already have.
What Modulo Does With GitLab
GitLab merge requests, pipelines, and issues inside a governed Modulo run, including self-managed GitLab.
Regulated environments
Own Your LLM Spend: Bring Your Own Model Keys
How Modulo routes agent calls through your own provider credentials, accounts for tokens per run, and leaves the model contract with you.
Agent Governance for Government and Defense Teams
How Modulo deploys inside an isolated environment, keeps agent execution on your own engine, and records agent activity in your own database.
Agent Governance for Financial Services Teams
How Modulo gives financial services engineering teams an approval record, a model record, and an audit trail for every agent change.
Agent Governance for Healthcare Engineering Teams
How healthcare engineering teams govern coding agents while keeping patient data, credentials, and the audit trail on their own infrastructure.
Agent Governance for Regulated Engineering Teams
What regulated engineering teams need before agent automation can run in their environment, and how Modulo supplies it.