Automation

Work that runs itself. Scheduled jobs, system-to-system integrations, and pipelines that keep going when nobody is watching them.

Most automation projects go wrong in one of two ways. Either they automate a process that was broken to begin with, so the mistakes just happen faster, or they end up as a script on one person's laptop that nobody else can run or explain. We fix the process first, then build the automation somewhere it can be monitored.

What we build

Process mapping

Writing down what actually happens today, including the manual step somebody added to work around the system.

Scheduled jobs

Recurring work with retries, timeouts, and a record of what ran, so a silent failure is not discovered a week later.

System integrations

Moving data between the tools you already pay for, including the ones whose API was clearly an afterthought.

Document and data pipelines

Ingesting, validating, and routing files and records, with the rejects going somewhere a human can look at them.

Approval steps

Keeping a person in the loop where the cost of being wrong is high, and taking them out of it where it is not.

Monitoring and alerting

Knowing a job failed before your customer does, which is most of what separates automation from a liability.

What you get

  • Automations running on your infrastructure, not a personal machine
  • A written map of the process before and after
  • Failure alerts routed to a channel your team already reads
  • Runbooks so the people who own it are not dependent on us

We build this for ourselves too

AN2Tech Stock is the internal platform we built to track assets and streamline our own procurement, and RankMetrics runs daily automated tracking across tens of thousands of keywords. Both are automation we depend on ourselves.

Common questions

How do we know what is worth automating?

Frequency multiplied by how long it takes, weighed against how often the process changes. Something done twice a day for ten minutes is worth it. Something done twice a year, usually not, and we will tell you when that is the case.

What happens when an automation fails?

It retries, then it alerts someone, then it leaves the work in a state a person can pick up. An automation that fails silently is worse than the manual process it replaced.

Do we need to change how we work?

Sometimes, and it is worth knowing that before the build. Automating a process nobody likes tends to produce a faster version of the same complaint.

Other services

Let's talk about your automation project.

info@an2tech.com