Managed Automation.

The plumbing, monitored.

The reason automations break in the wild is rarely dramatic. Vendors change an API contract on a Tuesday. A certificate expires. A workflow built for 500 runs is now firing 12,000 because an upstream filter was removed in a different change. The dashboard says green. The customer chases. The team manually picks up the work the automation was supposed to handle, and nobody knows when it stopped. Managed Automation exists so that does not happen.

What monitoring actually looks like

The monitoring is automated, not a person reading logs every morning. Every live workflow, every scheduled job, and every external dependency has alerting set up at the execution level. A failure, a timeout, a missing trigger, or an error rate crossing its threshold routes to us the moment it happens. We then read the execution log for that specific run, work out what changed, and resolve it. A slow drift in error rate (a workflow that used to run with 0.1 per cent errors now running with two per cent) gets caught the same way: thresholds are set so the change triggers an alert before a customer-facing failure makes the case for itself. Cost per workflow runs on the same alerting layer so a sudden volume spike triggers an investigation, not a surprise bill at the end of the month.

The approach aligns to internal audit and process optimisation discipline: continuous controls monitoring, applied to the automation layer. The questions are the same as those asked of any operational process. Is the design intent still being met. Is the data flowing as scoped. Has anything changed upstream or downstream that the workflow has not been told about. What is the gap costing.

Monthly performance reports surface the picture in plain language: what ran, what failed, what was fixed, what changed, what is recommended for next month, and what the running costs look like. The report is short and ranked by what matters. It is not a wall of metrics.

When something breaks

Alerts route to us, not to your team. Severity dictates response time and the exact response window is set in the service agreement, so there is no ambiguity about what happens at 2 a.m. on a Saturday.

For most issues the resolution path is straightforward. A credential rotated, a webhook re-registered, a rate limit lifted, a workflow paused while a vendor incident is in progress. The work is done, logged, and reported in the next monthly summary. For larger issues that need a redesign or a vendor escalation, we scope the work and agree it with you before any change goes in.

Silent failures are the harder category and the one this service exists to catch. A workflow that runs, completes, and returns the wrong answer. A classifier that has drifted because its training data is months out of date. A handoff that quietly stopped firing after a permissions change three weeks ago and nobody knows who replied to that customer because the audit trail also stopped. Catching those needs validation on the outputs, not just status checks on the workflow runs. Where they matter, we design those validation rules into the build itself, and the alerting fires when an output trips one of them.

Change control, version history, and the response window

Every change to a live workflow goes through version control. Every deployment is logged. If a change made yesterday turns out to have a side effect today, we can show what changed, when, and why, and we can roll back to a known-good state if the side effect is severe enough to warrant it. This is invisible when nothing is going wrong and indispensable when something is.

A fixed monthly response window covers planned changes: new fields, new triggers, small extensions, optimisation work, and routine vendor housekeeping. You get a single point of contact instead of a ticket queue, and the work is scheduled, scoped, and reported like any other piece of operations work.

This is different from an Ongoing Partnership, which is the strategic counterpart: advisory, decisions, scoping, training, and direct access to a specialist. They are complementary, not substitutes. When a partnership accumulates enough live automations that monitoring and incident response would eat the partnership advisory hours, Managed Automation runs alongside the partnership so the advisory time stays protected for the strategic work it exists for. For a stand-alone Automation Build, Managed Automation is the most common next step after the post-launch support window. We are independent AI and automation specialists. The service is the same whether your stack is n8n, NocoDB, custom, or any combination of the three.