How iCargo cut month‑end reporting from three weeks to one day

As iCargo added business lines, branches, and franchises, the numbers needed for a single month-end report became distributed across CRM, ERP, accounting systems, bank records, and hundreds of local Excel files. The finance team had to look for the right data in each source, copy it into the reporting files, clean it, reconcile mismatches, and correct errors before the numbers could be used.

Everything in that chain was manual. It took up to three weeks, and the report was already out of date by the time the work was finished. The faster iCargo grew, the more files and systems the team had to work through each month.

During one week of hands-on onboarding, the Numerus team configured AI agents around iCargo's existing processes. The agents connect to the relevant systems, collect and clean the data, process the Excel files, run reconciliations between systems and banks, flag and resolve discrepancies, and assemble the monthly report.

iCargo had tested several FP&A SaaS products before. Each platform expected a structured, standardised operating model before it could work. To use one, iCargo would first have needed to redesign processes, data structures, and local reporting practices across its branches and franchises.

That was a difficult fit for a business still adding new directions, branches, and franchises. A long transformation project would have delayed the immediate need.

Numerus was set up around iCargo's existing systems and processes instead. The team did not have to pause operations to force every unit into a new working process before it could start using the platform.

Before the change, the finance team's time went into assembling the numbers: requesting files, resolving mismatches between systems, and validating figures against bank data. The reporting work competed directly with the work that required the team's commercial and operational judgement.

Once the recurring collection and reconciliation steps were handled by the agents, the team had more room to work on what the numbers meant. More than half of its working time was freed up for work with clients and partners, business development, and strategic priorities.

The onboarding was hands-on and focused on the work that mattered first. In one week, the Numerus team helped iCargo build its first AI agents for the highest-priority reporting tasks: collecting data, cleaning it, reconciling figures, and preparing the monthly report.

The goal was not to leave iCargo dependent on an implementation team. Numerus provided a system the finance team can use to create additional agents itself as new needs emerge. As the business adds new workflows, the team can extend the automation without starting a new implementation project.

When reporting is delayed by fragmented systems and local files, the answer does not always have to be a company-wide process redesign. Start with the real work: where figures come from, who maintains them, where the same number is checked twice, and which reconciliations repeat every month. That is where consolidation can begin.