Categorizing bank flows: rules, AI suggestions and best practices
A raw statement is just a list of labels. Categorization turns it into readable information: what came in, what went out, by nature.
What categorizing flows is for
A raw bank statement is just a sequence of labels and amounts. Categorization turns it into usable information: what came in (sales, grants, financing) and what went out (salaries, suppliers, taxes, rent). This reading by nature is what makes treasury understandable.
Beyond visibility, categorization feeds everything else: reliable reporting for the finance committee, dashboards that actually mean something, and above all forecasting. Without consistent categories, you cannot build a cash plan or seriously fill in a 13-week forecast grid.
Rule-based categorization: the reliable foundation
A rule is a reusable condition — the label contains a given word, the amount, the account involved, the direction of the operation — that automatically assigns a category at import. The result is deterministic, traceable and shared across the whole team: once a rule attaches a salary transfer to the "Salaries" category, it will apply to every future import.
That predictability is precisely what makes rules valuable. Unlike manual sorting, which varies from one person to another, a rule always produces the same result. You gain consistency, and every classification decision stays explainable and auditable.
AI-assisted rule suggestions: what they are and what they are not
Let us be precise, because this is where many tools oversell. In Tresoria, the AI assistant analyzes your flows and proposes new rules; you approve them in one click. The AI speeds up rule creation, it does not replace your judgment.
So it is not a black box that silently reclassifies your operations on its own. There is no self-learning model deciding in your place. Every rule stays explicit, visible and editable: you keep control, and the categorization remains something you can explain to your auditor as easily as to your management.
Categorization best practices
Start with a reasonable set of categories. Too many categories kill readability; a few clear natures are better, and you can refine them later. Favour simple, few rules over a mass of overlapping ones that become hard to maintain.
Always plan for exceptions: an "uncategorized" bucket for unrecognized movements, which you review regularly. Use mass categorization to absorb a backlog of history, and keep your rules shared so everyone benefits from each person's work.
Aligning your categories with your chart of accounts
Your management categories are worth connecting to your chart of accounts. In Morocco, the General Code of Accounting Standardization (CGNC) already structures your accounts; mapping your treasury natures onto that logic builds a bridge between the treasury view (inflows and outflows) and the accounting view.
This alignment avoids language gaps between finance and accounting and makes reporting more reliable. It also has a direct effect on forecasting: the categories you define here are the ones you will find again in your forecast cash plan.
From category to decision
Once your flows are categorized, everything speaks the same language: the consolidated position, the bank journal and the forecast grid all rest on the same operation natures. Categorization stops being administrative busywork and becomes what makes your treasury readable and predictable.
That is the whole point of pairing reliable rules with AI suggestions you approve: you automate the repetitive work without ever losing control of the meaning you give to your figures.
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