Which processes you should automate first in a company

Before you automate, understand how your company works

This point saves more projects than it seems. Many companies want to automate processes that are not even defined yet. Steps live in three people’s heads, exceptions are never written down, and an “official” spreadsheet coexists with three unofficial ones.

Automating a messy process only makes the mess move faster.

Before talking about tools, do something simpler —and more useful—:

• Understand the process end to end: what triggers the task and what closes it.
• Spot bottlenecks: where waits and back-and-forth pile up.
• Identify repetitive tasks: what gets done the same way every day or week.
• Know who is involved: people, departments, and systems that touch the flow.

If you are still mapping the company overall, start with the strategic context. It helps to read how to digitize a company step by step. Business process automation works better when you already know which problem you want to solve.

How do you know which process has the highest priority?

You do not need a sophisticated matrix on day one. You need a method. For each process, answer honestly:

• Does it happen every day —or almost every day?
• Does it consume many hours from the team?
• Does it create errors, rework, or internal complaints?
• Do several people or departments get involved?
• Does it force copying data between systems, email, or spreadsheets?
• Does it depend on one person who “knows everything”?
• Does it delay other teams when it gets stuck?

The more “yes” answers, the higher the priority. A daily process with errors that blocks sales or the warehouse usually beats one done once a month that barely bothers anyone.

If you want numbers behind the invisible cost of staying manual, also read the hidden costs of manual processes in a company. Seeing lost hours often clarifies priority better than any deck.

The processes that usually deliver the most return

We will not talk only about departments. We will talk about day-to-day problems. These are the processes many companies should automate first because the return shows up quickly.

Administration: less paper, less copy-paste

Think of the time the team spends hunting invoices, chasing approvals, forwarding delivery notes, or re-entering the same data into different systems. That is not “inevitable admin work.” That is friction.

• Invoices and delivery notes received, validated, and filed by hand.
• Approvals that live in email and get lost in threads.
• Document management scattered across folders, WhatsApp, and attachments.
• Manual data entry between ERP, spreadsheets, and other tools.

Automating here usually means fewer errors, more speed, and more centralized information. And it frees people who today act as glue between systems.

Sales: more time to sell, less time chasing

Some salespeople lose opportunities because follow-up depends on a call, a notebook note, or “remembering to write on Monday.” The problem is not lack of drive —it is lack of system.

• Opportunity follow-up and pipeline stages.
• Sending quotes and updated versions.
• Automatic reminders for next steps.
• CRM updates without double work.
• Basic lead classification by source or interest.

The benefit is not “having a pretty CRM.” It is reclaiming hours to talk to customers and not letting warm leads go cold.

Purchasing: fewer waits, fewer blind orders

Requests sent over chat, approvals that take days, and recurring orders someone has to remember every month… are clear candidates for process digitization.

• Internal requests with traceability.
• Approval flows by amount or category.
• Recurring orders and templates.
• Low-stock alerts or reorder points.

Production: visibility instead of lost timesheets

When work orders live on paper, timesheets arrive late, and incidents are told by word of mouth, production does not need “more control” —it needs less friction.

• Work orders and real-time status.
• Progress tracking and bottlenecks.
• Timesheets and reports without rewriting by hand.
• Incident logging and traceability.

Warehouse: less searching, more useful movement

The warehouse is one place where business automation shows up physically: fewer loops looking for a location, fewer “surprise” inventories, fewer handwritten labels when things get urgent.

• Goods receipt and put-away.
• Picking and order preparation.
• Inventory and reconciliation.
• Labels, codes, and stock alerts.

If you move a lot of stock, this is often among the first processes to automate because errors turn into delays, returns, and lost hours.

HR: fewer forms, more clarity

Vacation requests over WhatsApp, time clocks that do not match, and onboarding documents scattered across folders… look like details until they eat whole mornings.

• Vacation and absence requests.
• Time tracking and hour consolidation.
• Onboarding documentation.
• Reminders for renewals and deadlines.

Customer service: classify, assign, and follow up

This is where artificial intelligence often fits naturally. Not to replace the team —so they stop manually sorting what arrives by email, form, or phone.

• Classifying incidents or requests.
• Assigning to the right owner.
• Tracking status and deadlines.
• Frequent answers with human oversight.

A typical example: an email arrives → AI classifies it → automation assigns it → a person resolves it. Less inbox chaos. More focus on what matters.

Should every process be automated?

No. And saying so matters.

It does not make sense to automate —at least not yet—:

• Processes that barely happen: the return does not justify the effort.
• Tasks that change constantly: you would freeze something still evolving.
• Undefined processes: clarity first, automation second.
• Strategic decisions or business judgments that need human judgment.

Automation is not digitizing chaos. It is removing friction where the process is already understood and repeated.

Which processes should you automate first on a limited budget?

When the budget is tight —as in many SMEs— order matters more than the ideal list. A practical priority is usually this:

1. Daily processes: what happens every day accumulates savings every day.
2. Repetitive processes: same task, same pattern, same candidate.
3. Processes with frequent errors: every error costs time and sometimes money or reputation.
4. Processes that affect several departments: the benefit multiplies.
5. Processes with the biggest economic impact: billing, stock, deliveries, collections…

If you still wonder whether it is time to automate, start with how to know if your company needs to automate processes. This article fits right after: when you know it is time, but not where to start.

Where does artificial intelligence fit?

You do not need to mix everything. Automation executes tasks. AI helps interpret or decide when information varies.

A simple customer email example:

1. The message arrives.
2. AI classifies it (urgency, type, department).
3. Automation assigns it and opens follow-up.
4. A person resolves with context, not chaos.

To refine when to use each layer, read AI vs automation: real differences. And if the next step is already implementation, see how to implement artificial intelligence in a company.

What role does custom software play?

Many companies start by automating existing processes: connecting tools, removing manual steps, adding alerts and statuses. That is fine.

But when processes are very specific —own rules, odd integrations, industry exceptions— generic tools fall short. Then custom development appears: a layer that fits how you really work, with integrations and, if it fits, AI on top of already organized data.

To decide that jump, these help: custom software: when it is worth building a tailored solution and ERP vs custom software: which does your company really need.