Checklist: what to prepare before automating your processes

Most automation projects stall not because of technology, but because of poor preparation. Owners usually ask how to prepare a business for automation only after the project has started — once it turns out the data lives in ten different places, every employee runs the process “their own way,” and there’s no one to make the calls. That’s when timelines stretch into months, budgets grow, and the result gets blurry.

The good news: most of these problems are visible in advance. If you put three things in order before the start — your data, a documented process, and access rights with clear owners — the rollout goes fast and predictably. Below is a practical checklist we walk through with clients before the first line of code. We’ve worked with businesses since 2018 and have seen the same preparation save weeks on every project.

Why preparation decides the project

Automation doesn’t create order — it replicates the order that already exists. If a process is messy, the system will simply reproduce that mess faster and at greater scale. So the biggest mistake is assuming “the vendor will figure it out along the way.” They will — but on your time and money, asking dozens of questions no one inside the company can answer clearly.

Preparing for process automation isn’t bureaucracy; it’s a way to make the invisible visible. When you write down how a department actually works, you almost always discover that some steps can be removed entirely rather than automated. Automating the unnecessary means paying to do pointless work faster.

So the first principle is simple: simplify the process first, automate second. And to simplify it, you first have to see it in full.

Block 1. Tidy up your data

Data is the fuel of any system. If it’s scattered across a dozen spreadsheets, messengers, and people’s heads, there’s nothing to automate. Run through this checklist:

• Where everything lives. List every place that holds information about customers, orders, products, and payments. This step alone often reveals that the same data is duplicated in three places and contradicts itself.
• A shared vocabulary. Agree on what “customer,” “order,” and “status” actually mean. If “done” means shipped in one department and paid in another, no system will reconcile that for you.
• Freshness and duplicates. Clear out the obvious junk: stale records, duplicates, empty fields. You don’t need perfection — just data that reflects reality.
• A readable format. Information should be at least structured (tables with consistent columns), not free-form notes.

Don’t wait for “perfect” data — that’s a trap the project never escapes. It’s enough to establish basic order and fix the rules by which data will be entered from now on.

Block 2. Document the process as it really works

This is the hardest and most valuable step. Describe the process you’re automating from first touch to completion — step by step, in plain sentences. Not “how the regulation says it should be,” but how it actually plays out on a real Tuesday.

What to capture:

• The trigger. What starts it all? A call, a website request, a message, a new item in stock?
• Steps and owners. Who does what at each stage, and in what order. This is usually where “oh, and Oksana still copies this by hand into another spreadsheet” surfaces.
• Branches. What happens when things go off-plan: the customer declines, the product is out of stock, the payment fails. Exceptions eat the most time and most often break poorly prepared automation.
• The outcome. How the process ends and how you know it ended successfully.

The format doesn’t matter — text, a sketch on paper, or a diagram all work. What matters is that the description is honest and complete. This is exactly the stage where you build the list of things that shouldn’t be automated at all — they should be cancelled.

Block 3. Define access, owners, and who makes decisions

The technical side of a project rarely stalls over code. It stalls because no one can grant access to a needed service, or because “how do we handle this detail” waits weeks for a decision. So the third block of the checklist is about people and permissions.

• The decision owner. There must be one person on your side who can say “yes, do it this way” without week-long approvals. Without them, the project halts at every branch.
• Access. Figure out in advance which systems, accounts, and data will need access, and who grants it. Sort out access, exports, and passwords before the start — not at the moment everything’s ready and waiting to be connected.
• Area owners. Who in the company knows a given part of the process best, and who to double-check details with.
• Who signs off. Agree beforehand on the signs by which you’ll consider the system correct and the project done.

It’s also worth thinking through how to handle sensitive data — customer contacts, payments, credentials. We run projects on our own infrastructure with ongoing support, so where and how data is stored is discussed at the very start, not after the fact.

The short summary checklist

Before launching automation, ask yourself a few control questions:

• Do I know where all the needed data lives, and is it consistent across sources?
• Is the process documented step by step — including exceptions, not just the “happy path”?
• Have I removed the redundant steps before automating them?
• Is there one person who makes decisions without long approvals?
• Is it clear who grants access and who accepts the finished result?

If the answer to most is “yes,” you’re ready, and the rollout will move quickly. If it’s mostly “no,” start with preparation itself: it’s the cheapest part of the project and, at the same time, the part that decides its outcome.

Working out how to prepare a business for automation is easier in a conversation than alone with a blank page. If you’d like, let’s start with a short chat or a brief: together we’ll run this checklist against your process and see what’s worth tidying up — and what can be dropped before the start.