How do you decide what to automate?

By finding the work that is both repeated often and stable enough to encode. Judgement calls stay with people. Automating an unstable process just makes the mess faster.

Do we have to move to AWS?

No. AWS is where most of this experience sits, and the approach is not tied to it. The right answer is usually the platform your team can already operate.

In the delivery, not in place of review. AI speeds up the work and the standards for maintainability and review stay where they were, because the cost of lowering them lands on the same team later.

Commerce and operations

Data, automation and cloud delivery

One platform, many brands

Operations usually break in a predictable order. A spreadsheet becomes load bearing, a person becomes a single point of failure, and the business grows faster than anyone can rekey.

Find the work worth automating

Not everything repetitive should be automated. The first job is to find the processes that are both repeated often and stable enough to be worth encoding, and to leave the judgement calls with the people who should be making them.

We map how work actually moves, including the undocumented steps, before building anything. The surprises are usually in the gaps between systems rather than inside them.

Infrastructure that does not need babysitting

AWS infrastructure, deployment pipelines and operational foundations, set up so releases are routine rather than events, and so the person on call is not the only one who understands the system.

Where AI assists the delivery, it assists it. Review quality and maintainability are not traded away for speed, because the cost of that trade arrives later and lands on the same team.

Where this comes from

Technical direction for the data pipelines, integrations, automation and AWS infrastructure behind a multi-brand operator running several businesses on shared systems, where one platform had to serve brands with genuinely different needs.

Questions you may have

How do you decide what to automate?: By finding the work that is both repeated often and stable enough to encode. Judgement calls stay with people. Automating an unstable process just makes the mess faster.
Do we have to move to AWS?: No. AWS is where most of this experience sits, and the approach is not tied to it. The right answer is usually the platform your team can already operate.
Where does AI fit?: In the delivery, not in place of review. AI speeds up the work and the standards for maintainability and review stay where they were, because the cost of lowering them lands on the same team later.

More capabilities

Get in touch

Talk to us about this kind of work.

Tell us what you are building and what makes it hard. A short note is plenty, and it comes straight to Juan and Andrew.

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