Which repetitive tasks to automate first.

Almost every team has a list of tasks nobody enjoys: copying data from an email into the ERP, retyping invoice details, assembling the same report every Monday, keeping two systems in sync by hand. These tasks are good candidates for automation — but choosing the right one to start with makes the difference between a quick win and a project that stalls.

Five criteria for a good first automation

Go through your list of repetitive tasks and score each one against these questions:

• Frequency — how often does it happen? Daily or weekly tasks pay back much faster than monthly ones.
• Clear rules — could you explain the steps to a new colleague in a few minutes? If yes, it can usually be automated.
• Structured inputs — does the data arrive in a predictable form (a form, an export, a standard document)? Varied inputs are possible, but take more work.
• Low cost of a mistake — can an error be caught and corrected easily before it causes harm?
• Accessible systems — do the systems involved offer an API, an export or another way to read and write data?

Tasks that score well on all five are your shortlist. Pick one from it — the one that people complain about most is often a good choice, because the team will welcome the change.

Typical examples worth considering

Order entry

Orders arriving by email or as PDF attachments are often retyped into the ERP by hand. Super Intelligence can read the document, recognise customer, items and quantities, and prepare a draft order. An employee checks it and confirms with one click.

Invoice processing

Incoming invoices follow a familiar pattern: supplier, date, amounts, tax, reference numbers. Extracting these fields, matching them to purchase orders and flagging differences removes a lot of manual checking, while final approval stays with accounting.

Report assembly

Weekly or monthly reports frequently mean exporting data from several systems, pasting it into a spreadsheet and formatting it. That entire chain can run automatically on a schedule, delivering a finished report or a live dashboard — with a short written summary of the main changes if useful.

Data sync between systems

When the same customer, product or price lives in the CRM, the ERP and the web shop, someone ends up keeping them aligned manually. A scheduled sync (ETL) or an event-driven integration keeps them consistent and logs every change, so differences no longer creep in unnoticed.

Keep a human review step where it matters

Automation does not have to mean "no people involved". For most business processes, the best setup is a split:

• The automation does the preparation — collecting, reading, matching, filling in.
• A person makes the decision — approves, corrects or rejects.
• Exceptions are routed clearly — anything unusual goes to a person with a short explanation of why.

Over time, as confidence grows, you may let simple, low-risk cases pass automatically and keep review only for exceptions. But that is a decision to make on evidence, not on day one.

What to avoid

• Automating a broken process — if the manual process is unclear, fix it first; otherwise you only make the confusion faster.
• Starting with the rarest, most complex task — it takes longest and teaches the least.
• Silent failures — every automation needs logging and a notification when something doesn't go through.
• No owner — someone must be responsible for keeping it working when systems or rules change.

Measure before and after

Before you switch anything on, note how the task is done today: how long it takes, how many steps, how often mistakes happen. After a few weeks, compare. Those numbers, from your own process, are the best argument for what to automate next.

How int32 can help

We build workflow automation, data sync between systems and automated reports and dashboards — with Super Intelligence where it adds value and human review where it matters. Read more about integrations & automation and Super Intelligence integration, browse typical use cases, or get in touch with the task you'd most like to get rid of.