lastloop is where businesses design agents and workflows, run them as long-lived services, and govern every action with full traceability and permissions. Bring AI into the processes you already run — and prove what it did.
A chatbot here, a script there, a vendor pilot that never shipped — most enterprises end up with scattered AI no one governs. A platform consolidates it: one place to design, run, and audit every agent, under one permission and identity model. That's the difference between "we tried AI" and "we run AI."
Agents and workflows on one canvas, not five stitched tools.
Long-lived services that persist, retry, and stay alive across deploys.
Every action traced, permissioned, reversible, audit-exportable.
Least-privilege identity for every agent. No ambient authority.
MCP, your SSO, your data boundaries; meets your stack where it is.
Production AI lives or dies on four questions: who authorized this action, what did it touch, can you prove it, can you turn it off. lastloop answers all four by default — so AI reaches production through your security review, not around it.
Ship measurable efficiency on real processes.
Provable least-privilege and a complete audit trail.
A real runtime, API/CLI, and a reusable agent service fabric.
Start on the platform, ship your first governed agent.
Our team — or a lastloop agency partner — builds your first workflow with you.
Software to design, run, and govern AI agents and workflows across a business — with the access control, traceability, and audit trail enterprises require.
Those automate fixed app-to-app tasks; lastloop runs governed, autonomous agents as production services. See the comparison →
Least-privilege identity per agent, full action tracing, exportable audit trails, and a SOC 2 / GDPR / data-residency posture.
Yes — one process, one governed agent, then expand.