Managed automation: we keep your AI automation running
Managed automation is management of your automations and AI agents after go-live. We monitor them, keep connections and models working, fix incidents and adjust every month. Everything that goes out on behalf of your business gets a person's approval first. That applies to systems we built and to automations we take over.
Managed automation is the monthly management of automations and AI agents after go-live; Oase Creative runs its own agent system with 61 background tasks this way.
It is automation that stays in the care of the party that built it or took it over, long after delivery. You know the principle from managed IT services: you do not rent a server, you hire someone who keeps the server running. Here it is about work processes: the newsletter that puts itself together, enquiries that get sorted, data that moves from one system to another overnight.
The building itself happens under AI systems and automation. That service ends with an evaluation after the first month. Managed automation is what comes after.
An automation that works today does something different a month from now. An external service changes its connection, credits run out, a language model gets an update, a customer fills in a form slightly differently. Nobody touched anything, and still it no longer adds up.
We know this from our own log. Measured over 134 days, something went wrong that needed attention on 54 out of 100 days in our own agent system, and just over three in four scheduled runs made it to the finish. What that looks like is in what an agent system costs to maintain. That is not a failing system. It is what a running system looks like, and that is why it needs management.
First, a person approves before anything goes out. Second, a log records in advance what is about to happen. Every task has its own pause switch. Monitoring runs outside the system itself. And the output passes fixed checks before it is offered for approval.
When we take over an automation, we first check which of those five are missing. We add them before we take responsibility. A system that emails or publishes without prior approval is not one we take over as it is.
Our own agency runs on an agent system with 61 background tasks, from research and articles to the inbox. Every mistake that happened in it has become a rule: no publication without a recorded approval, no risky action without a log, no task without a pause switch.
At Familierestaurant Pluis the newsletter runs as a system. The owners drop in a topic, we write, design and send, and a person approves every email. Every hour new sign-ups go to the mailing list, and anyone who ever unsubscribed never gets added back. Every month there is a report, which we read before it goes further.
Not everything that runs automatically needs to be managed. A workflow that stays inside your business, is easy to undo and fails in a way you notice quickly is fine to look after yourself.
Management starts to matter once your automation emails, publishes, invoices or replies to customers on behalf of your business, or when an AI agent decides on a step by itself. Then you want to know who is watching, how you see that something goes wrong and how you stop it.
What managed automation includes
Inventory of everything that runs
Every automation listed, with the points where something leaves your business.
Takeover of existing automations
Also what you built yourself or with another party, with the missing checks added.
Monitoring and alerts from outside
Monitoring runs outside the system itself, so a stalled automation cannot silence its own alarm.
A person's approval for everything that goes out
No email, publication or message to a customer without a recorded approval. Without approval the system waits.
A log of what the system did
Every risky action is recorded in advance, so you can always see what happened and why.
A pause switch per task
Stop one task while the rest keeps running.
Maintenance and incidents
Connections that change, credits that run out, models that get an update. We catch it and fix it.
Monthly report and improvement round
What ran, what went wrong and what we changed, then deciding together what to improve.
Handover when you stop
Documentation, log and access come with it, so you can carry on yourself or with another party.
How managed automation works
Intake
Which automations are running, what goes out and who gives the approval. A name, not a role.
Inventory
Per automation, what starts it, where it runs, where something leaves your business and which checks are missing.
Build or take over
New systems we first build as an AI system. An existing automation we only take over once approval, log and pause switch are in place.
Go-live under supervision
In the first weeks we look at every output, then spot checks. Together we test the pause switch.
Monthly management
Monitoring from outside, alerts, maintenance of connections and fixing incidents.
Report and improvement round
Every month what ran, what went wrong and what we changed. Then we decide together what to improve.
Handover when you stop
Documentation, log, access and accounts go to you or to your new party.
Questions about managed automation
Goes with this
- AI systems and automationRecurring work in a system with your brand and rules built in, and a person who reviews.
- Software and app developmentSoftware that goes beyond a website, from internal tools to a product of your own.
- Email marketingCampaigns and automated emails in your brand style, tested before sending and measured on clicks.
- Everything in Technology & AIThe website or online store where the brand lands, and the software and automation that keep it running afterwards.
Louie ValkhofI read every message personally.Is something already running that nobody keeps an eye on?
Tell us which automations are running and what goes out. We will tell you what managing them takes.
