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Pause & Resume Workflow Automation with Human Approval Gates

October 16, 2026

Most workflow automation tools ask you to choose: either lock your automation logic upfront and live with the consequences, or abandon the run and start over when a human needs to weigh in. Either you rebuild the pipeline for the next run, or you lose the context of the one in flight.

LiveGraph approaches this differently. An approval gate parks a running workflow mid-flight — preserving all upstream data and execution context — and resumes it on decision. The run doesn’t restart. The state doesn’t evaporate. And because LiveGraph keeps the graph editable during a run, approval logic itself can be adjusted if the situation changes after human review.

How approval gates work in LiveGraph

An approval gate is a node in your workflow graph that halts execution and waits for human decision. When a run reaches the gate, it parks — all data from earlier hops stays intact, all context available for the approver to review. The approver sees the state the workflow has accumulated so far, makes a decision, and the run resumes at that exact point with that exact data. No hop is repeated. No state is lost.

This is different from most workflow platforms, which either ask you to define all approval rules before the run begins — freezing logic upfront — or force you to abandon and restart if a decision point appears mid-execution. LiveGraph’s model is simpler: the workflow runs until it hits a gate, waits for a human, and continues.

TODO verify: Can approval gates be added or repositioned during an interactive run without losing state?

TODO verify: Do approval gates preserve all upstream data and context when a run is parked, ensuring no information loss on resume?

TODO verify: What is the maximum duration a parked run can remain paused before timing out or being archived?

Approval gates across run modes

LiveGraph supports two execution modes: unattended and interactive. Approval gates work in both.

Unattended runs — triggered by schedules, webhooks, or API calls — start with pinned routing. This means the workflow topology is snapshotted at launch, ensuring reproducibility across reruns. An approval gate in an unattended run will still park the execution and wait for a human decision through the API or web interface.

Interactive runs execute live on the hosted web app. You watch the canvas in real time. When an interactive run hits an approval gate, it pauses and waits — and because the canvas is live, you can adjust the routing logic if the approval outcome suggests a different path. This is the key differentiator: the gate doesn’t just pause the run, it gives you a moment to revise the workflow if needed.

Both modes support the same resume semantics: approve, and the run continues from that gate with all prior context intact.

TODO verify: Can multiple approval gates exist in a single workflow, or is there a limit?

TODO verify: Does LiveGraph offer audit or logging for approval decisions — including who approved, when, and any notes attached to the decision?

Real-world use cases

Approval gates unlock workflows that would otherwise require manual handoff or full restart. A few patterns:

  • Procurement workflows. A requisition is validated, cost-checked, and escalated for approval. The run parks at the approval gate with all requisition data and validation results visible to the approver. Approval resumes the workflow to complete the purchase order.
  • Content review and moderation. A piece of content moves through agents that check compliance, generate a summary, and flag potential issues. A human reviews the analysis, approves or rejects, and the run continues — publishing if approved, routing to revision if not — without re-running the upstream agents.
  • Data validation pipelines. A batch process validates data quality, flags anomalies, and parks for a human sanity check. The human reviews the flagged rows, approves the batch, and the pipeline proceeds to the next stage with all validation context intact.
  • Financial approvals and compliance. A transaction workflow checks for regulatory thresholds, calculates risk scores, and if a threshold is hit, parks for approval. The approver sees the risk analysis from the earlier hops and decides whether to proceed.

TODO verify: [ADD: real customer example with timeline benefit — e.g., time saved by eliminating restarts]

Live canvas advantage for approval workflows

Because LiveGraph’s canvas is live during execution, interactive runs can be adjusted mid-flight. This becomes powerful when a run reaches an approval gate and the outcome suggests the workflow should take a different path.

Imagine an approval workflow where a human reviews a proposal and discovers that the assumptions have shifted. In most platforms, the approver is stuck: approve as-is or reject and start over. In LiveGraph, the approver can approve the decision point, and you — or another agent — can drag the edge from the approval gate to a different downstream node in real time. The run resumes along the new path with all prior data intact. The workflow adapts to the human decision without stopping and restarting.

Setup guide: configuring an approval gate

A basic approval gate workflow typically follows this pattern:

  • Define your workflow graph with agents or tools that perform work before the decision point.
  • Add an approval gate node to the canvas where the human decision should occur.
  • Route success and rejection paths from the gate to downstream nodes (e.g., “proceed” or “escalate”).
  • Configure the approval gate with details visible to the approver — summary of the upstream work, decision options, and any metadata needed for judgment.
  • For interactive runs, watch the canvas and optionally edit routing as the run executes.
  • Approver reviews the parked state and makes a decision through the web app or API.
  • The run resumes along the chosen path.

For unattended runs (API, webhooks, schedules), the workflow topology is pinned at launch, but the approval gate still pauses execution and waits for a decision via the web interface or approval API before resuming.

TODO verify: Can an approval gate be configured to auto-escalate or timeout if no decision is made within a set period?

TODO verify: Are there role-based access controls to determine who can approve a parked run?

TODO verify: What integrations or APIs exist to notify approvers when a run reaches an approval gate?

How approval gates differ from competitors

Most workflow automation tools (Zapier, Make, n8n, Airflow) treat approval as a blocking step that either rejects the workflow outright or forces a restart on decision. The approval gate is sequential — the workflow freezes, a human decides, and either the workflow continues or it stops.

LiveGraph’s approval model is different because the run doesn’t restart. When a gate parks a run, all state is preserved. The approver has full visibility into the data the workflow has accumulated so far. And on interactive runs, the routing logic itself can be adjusted after the approval decision if the business context has changed.

TODO verify: [ADD: comparative table with Zapier, Make, n8n, Airflow showing pause-resume and approval-gate maturity]

Deployment and observability

LiveGraph is a hosted web app. Workflows are defined and executed on the LiveGraph platform, and approval gates are managed through the web interface or API. This means approvers don’t need to install anything — they can review and approve directly in the app or via API notification.

Because the canvas is live during execution, you (and anyone with access to the run) can watch the workflow’s progress in real time. When a run reaches an approval gate, you see it pause on the canvas. You can share a read-only view of the run with stakeholders, so they can follow the workflow without seeing sensitive hop contents.

TODO verify: Is the hosted web app available on-premises or self-hosted, or is SaaS the only deployment model?

TODO verify: How does approval gate performance scale with high-volume or long-running workflows?

Getting started

If you’re running workflows that need mid-flight pauses and human approval without restart, LiveGraph’s approval gates eliminate the choice between rigid upfront logic and manual restart. Watch a live run on the platform or explore the API to integrate approval workflows into your automation stack.

See it running

The live demo needs no account and no API key — a scripted model drives the real engine while you reroute a run in flight. When you want your own graphs, sign up and the included model runs them; bring a key when you want a different provider.

Three products a loop shipped — citepath.ai, findefend.com, and modelright.dev, each from a paragraph-long brief.

Keep reading

  • What counts as agent orchestration — a checklist the category keeps dodging — Two different tools claim 'orchestration': iPaaS pipelines that connect apps, and agent frameworks compiled into code. Neither lets you operate a run while it's running. Here's the checklist a real orchestrator has to satisfy — and where each camp lands.
  • Zapier and Make edit the next run. LiveGraph edits this one. — Zapier and Make build pipelines that change what the next run does; LiveGraph keeps the graph editable while a run is in flight. Connector catalogs vs a live orchestration canvas — an honest map of where each fits.
  • Why leaderless agent systems need live-editing — Peer agents routing to each other removes the supervisor node — not the need for steering. When nothing is in charge, the canvas is the only control surface left, and it has to be live.
  • Our engineering team is a LiveGraph graph. Here is what broke. — LiveGraph's own repo is improved by a LiveGraph loop: a tick fires the Lead, an engineer works through the GitHub MCP, CI routes its own verdict, and a human gate decides every merge. Including the three ways it failed.
  • Share a run people can watch, not a log they can't — POST /runs/:id/share mints a stateless token that renders a read-only, live-updating canvas — topology and hop status, never hop content. Embed it in docs, status pages, or a client deliverable.
  • LangGraph edits a run's state. LiveGraph edits a run's route. — LangGraph compiles your topology into code; LiveGraph keeps it in data you can mutate between hops. Two different primitives — an honest map of where each one fits.
  • Steer a running agent workflow — LiveGraph re-reads the graph after every hop, so dragging an edge changes where this run goes next.
  • Why you can't reroute a running n8n workflow (and why you can in LiveGraph) — Most engines compile a run before executing it, so mid-run edits only affect the next run. A per-hop engine makes rerouting free — here's the architecture.
  • Giving agents write access to real code without losing sleep — Worktree isolation, operator allowlists, encrypted secrets, and pushes only a human's literal keystrokes can trigger — the safety model, decision by decision.

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