Accounting automation: how to plan it step by step

When invoices arrive through different channels, data is copied between documents and reconciliation is left until the end of the month, the issue is usually not just a lack of time. It also becomes difficult to know which information is up to date, who has reviewed each transaction and where an error may arise.

Accounting automation can bring order to some of that work, but it is not simply a matter of connecting tools. In this guide, you will learn how to decide which process is worth automating, which controls to retain and which conditions need to be met before putting a workflow into operation.

Expected outcome

The expected outcome is not accounting without human involvement. It is a process in which repetitive tasks —such as collecting documents, extracting fields, classifying information or preparing data for review— are carried out in a more orderly and traceable way.

By the end of this guide, you should be able to describe, in one sentence, the first workflow you want to automate: what information it receives, what task it performs, who reviews the result and what should happen if data is missing or there is an exception.

Step 1: define a specific objective

Objective: identify an operational issue that is worth automating before choosing a tool.

Action: look at one accounting process that happens frequently. Rather than starting with a broad idea such as “automate accounting”, define the situation more precisely. For example: gathering incoming invoices from email and shared folders, entering their data into a tool or issuing an alert when a document does not contain the required information.

Frame the objective as an observable change:

“I want incoming invoices to be gathered in one place and prepared for review, without manually copying them from several channels”.

Avoid making speed the only criterion. In accounting, a task may be completed quickly and still require review because it affects amounts, suppliers, taxes, dates or payments.

Check: you can identify the start and end of the process. You should know what triggers the workflow —the arrival of a document, a recorded payment or a date— and what outcome it must deliver.

Step 2: set the scope of the first automation

Objective: prevent a small project from including every exception and business process from the outset.

Action: separate what is essential from what can wait. An initial automation may be limited to collecting documents and extracting certain fields for a person to validate. It does not need to include posting entries, payments, bank reconciliation, supplier communication and reporting all at once.

A practical way to define the scope is to decide on these four points:

• Input: documents, emails, files or records that initiate the workflow.
• Processing: which data is read, checked, transformed or transferred.
• Output: where the result is stored and who receives the notification.
• Exceptions: which cases must stop the workflow and be sent for review.

For example, a hypothetical scenario could involve reading an incoming PDF invoice, proposing the date, supplier, amount and document number, and leaving it pending approval in the management tool. If the file is unreadable, fields are missing or data is inconsistent, the system should not complete the record as though it had been validated.

Check: the scope fits into a brief explanation and does not depend on resolving other undefined processes. If automating a task requires you to clarify how permissions, master data or exceptions are managed, those decisions are part of the scope and should not remain implicit.

Step 3: prepare the data and assign responsibilities

Objective: ensure that the workflow uses understandable information and that each decision has a responsible person.

Action: review where the data comes from and how it is named. Automation works better when documents follow a recognisable standard, the required fields are defined and access accounts belong to the company.

Before configuring anything, clarify at least:

• which data is mandatory for each document type;
• which format dates, amounts, references and suppliers must follow;
• which tool holds the primary record;
• who can review, correct and approve;
• who maintains access when people or tools change;
• what should be done with incomplete, duplicate or questionable documents.

It is also advisable to distinguish between preparing information and making an accounting or tax decision. A workflow may classify documents or propose data, but the validation of accounting criteria, tax obligations and final records should remain the responsibility of the relevant person or accounting adviser.

Check: each relevant item of data has an identifiable source, a defined destination and a person accountable for an exception. If no one knows who corrects a wrongly identified supplier or an inconsistent amount, the process is not ready yet.

Step 4: choose the solution based on the workflow, not the other way around

Objective: select a solution that fits the actual process and can be maintained clearly.

Action: compare alternatives based on the connections and rules you need. A configuration within the tools you already use may be enough if the workflow is simple. If several systems, specific validations, permissions or particular rules are involved, you may need an integration or customised development.

Artificial intelligence may be useful when documents come in varying formats and you need to extract or classify information. Even so, it should be treated as support for preparing data, not as an automatic replacement for the controls required by your operations.

When assessing the solution, ask:

• Which system starts the workflow and which one holds the final data?
• What happens if an external connection fails or returns incomplete information?
• How are changes and corrections recorded?
• Who can modify the rules?
• Which part requires approval before it has an effect on the accounts?

Check: you can explain a document’s journey without using technical terms: it enters through a defined channel, is processed according to rules, ends up in a specific destination and is sent for review when it does not meet the planned conditions.

Step 5: validate before extending its use

Objective: check that the automation works correctly both in routine cases and in those requiring intervention.

Action: test the workflow with representative documents and deliberate issues. Include, for example, a complete document, one with missing data, a duplicate and another that needs manual review. Do not consider a process valid simply because it works in one clean case.

Define what the responsible person needs to check:

• that the extracted data matches the original document;
• that the record reaches the intended location;
• that exceptions generate the expected alert;
• that a correction is not lost or duplicated incorrectly;
• that the workflow can be paused without leaving documents in an uncertain state.

Keep an initial controlled phase before expanding its use to more document types or processes. Human review is particularly necessary when an error could affect records, payments, tax returns or financial decisions.

Check: you have clear criteria for accepting the workflow and know which cases are outside the scope of the initial automation. If you cannot detect an exception or reconstruct what happened to a document, you need to adjust the design before expanding it.

Execution mistakes to avoid

• Automating a process that has not yet been defined. If each person records or files information differently, the workflow will carry that inconsistency forward.
• Connecting tools without designing for exceptions. Incomplete, duplicate or contradictory cases need a visible outcome and a responsible person.
• Confusing extraction with validation. A system reading a data point does not mean that the data is correct or should be posted without review.
• Not deciding which record is the primary one. When several tools can edit the same information, differences that are difficult to trace may arise.
• Taking access for granted. Accounts, permissions and credentials must be controlled by the company and reviewed when the team changes.
• Expanding the scope too soon. It is better to validate one specific workflow than to chain processes together without checking their errors and dependencies.

Accounting automation provides greater control when it reduces clearly identified manual steps while retaining appropriate review for sensitive decisions. Start with one repetitive process, define its boundaries and validate how it behaves when errors occur before automating the next one.

If you have already identified a repetitive accounting workflow but are unsure what to integrate, which controls to retain or how to handle exceptions, you can describe your AI automation project to AVSISTEC to assess the technical fit.