Workflow automationIn production

48 live workflows. Routine work on its own triggers.

Client requests, time-off cover, data syncs, digests and follow-ups run automatically, with error handlers and a watchdog that flag failed or missing runs.

48active n8n workflows
1,875nodes across the n8n estate
Node-canvas view of a scheduled workflow that finds unanswered Slack threads and sends reminders
Rebuilt workflow canvas · neutral labels

The business problem

A project request arrives. A contract is signed. Someone goes on leave. A client needs attention. Each event starts a chain of small jobs across forms, project tools and Slack. When those handoffs depend on people remembering every step, work stalls quietly.

What changed

Yash leads design, implementation and handover across the automation estate. A 95-node project-request workflow handles Typeform intake and ClickUp scaffolding. Other workflows cover ETL, client lifecycle, team allocation, triage and reporting. Zapier handles selected triggers and hands richer logic to n8n; its 59 live Zaps belong to the agency’s shared workspace.

One example is a reply-chaser. On four mornings a week it scans the shared client channels in Slack, asks an AI model whether each thread still waits on someone, and sends one reminder per person with the threads they owe.

Before & after

AreaBeforeAfter
Client requestsManual setup across toolsA connected, 95-node intake workflow
Operational dataSeparate systems to reconcilePipelines into a shared warehouse
Workflow failuresA missing update someone noticesError handlers and scheduled-run checks

The business value

The n8n estate contains 110 workflows, 48 active, with 1,875 nodes excluding sticky notes. The agency’s shared Zapier workspace has 59 live Zaps.

How to read the return

48 of 110 n8n workflows are active, covering intake, time-off cover, data syncs, digests and reliability checks. Hours per process were not tracked, so no total saving is claimed; use the savings calculator with your own volumes.

Why the system is dependable

Automation should be observable, not just automatic. The intake workflow evolved through multiple major versions, with a separate development-stage copy for iteration. Error handlers and a “did it actually run?” watchdog are part of the system, not a maintenance afterthought.

Rebuilt canvas of one example workflow, with neutral labels. Channel and workspace details are withheld.

Could this work for your team?

If every new client, request or team change starts a checklist of manual jobs, there is a workflow here worth simplifying.

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