n8n is a powerful automation tool. But if you're delivering AI to clients — and you'll be held accountable for what it does — you need agents, governance, and a platform your whole team can run. Here's the honest difference.
you need to move data between apps with fixed, deterministic steps — and one person will own and maintain each workflow.
AI has to make decisions you're accountable for, work has to run as a governed service, and your team needs to run it for many clients.
| n8n | lastloop | |
|---|---|---|
| Built for | App-to-app automation | Agentic AI work in production |
| AI | A node you add | The core — agents reason and act |
| Governance | Basic logs | Traced, permissioned, reversible, audit-exportable |
| Who can run it | The person who built it | Your whole team |
| Multi-client | DIY | First-class client workspaces |
| Best at | Cheap, mature, huge integration catalog | Governed, team-operable, agent-native delivery |
An n8n workflow is a fixed pipeline: trigger → step → step → done. It does exactly what you wired, every time — perfect for predictable plumbing. But the work clients pay the most for is judgment work: reading an ambiguous document, deciding what to escalate, handling the case you didn't foresee. That's an agent, not a pipeline. lastloop agents reason, act, and observe in a loop — and every step is governed.
An n8n workflow works because one person holds its entire logic in their head. With ten clients, that's ten brittle graphs and one bus factor. Maintenance grows with every client. Oversight means refreshing an execution log. Nobody can take over an account but the person who built it — so you can't hire into it, can't hand it off, can't take a vacation.
Agents are self-documenting; anyone on staff can run, review, and hand off any client.
Alerts, audit, and permissions watch outcomes for you.
Reusable templates mean growth adds revenue, not maintenance.
"We went from one person who understood everything to a team that can run any client account.— [Title, Agency]
| n8n | lastloop | |
|---|---|---|
| Core model | Deterministic flows; AI is a node | Agents reason and act; workflows orchestrate agents |
| Handles ambiguity | No — every branch pre-built | Yes — agents decide within scoped bounds |
| Execution | Per-run, fire and forget | Long-running services that persist and retry |
| Governance | Basic logs, limited audit/permission model | Traced, permissioned, reversible, audit-exportable |
| Reuse | Copy/duplicate workflows | Shared agent service fabric |
| Who can run it | Only the builder | Anyone on the team |
| Maintenance as clients grow | Linear; babysit every flow | Templates; leverage compounds |
| Oversight | Manual / reactive | Proactive: alerts, audit, permissions |
| Decisions & review | Wiring in one head | First-class roles, approvals, escalation |
| Handoff / bus factor | 1 per client | Team-operable |
| Multi-client | DIY self-host / shared teams | First-class isolated client workspaces |
| Where it genuinely wins | Integration catalog, price, maturity, no-code-simple | Governed, agent-native, team-operable, multi-client |
We mean this. Reach for n8n when the job is moving data between apps on fixed rules, one person will own it, there's no AI decision anyone's accountable for, and a big integration catalog matters more than governance. It's cheap, mature, and great at that. lastloop is for the tier above: when AI makes the decisions, and a team has to run it for clients.