How Logalty automated 80% of its accounting entries, streamlined bank reconciliation, and optimised cash forecasting with Embat

A conversation with:

Carlos Echalecu

CFO at Logalty

Logalty, a Legaltech firm specialising in digital signatures and regulatory compliance, needed to automate its accounting and bank reconciliation processes. With over 15 banking partners and 30 financial products, the finance team sought a flexible solution that would enable them to scale without losing visibility or control over their cash position.

Headquarters

Madrid

Sector

Legaltech / Regtech

Employees

100-200

ERP

Openbravo

Before Embat

Manual, time-consuming bank reconciliations, made complex by the volume and diversity of financial products.
Heavy operational burden in recording accounting entries.
Limited ability to generate reliable cash flow forecasts due to a lack of integration with historical bank data.
Fragmented processes and no consolidated view of the overall financial position.

With Embat

80% of accounting entries automated using AI and accounting rules, significantly reducing time and manual effort.
98% of bank reconciliations automated, with intelligent transaction matching and a substantial drop in reconciliation errors.
52 accounting rules implemented to automate both booking and reconciliation of financial transactions.
Enhanced cash forecasting capabilities through historical flow analysis and real-time banking integration.
Seamless integration with their ERP (Openbravo), preserving existing processes while adapting to Logalty’s specific needs.

Centralised treasury management across more than 15 banks and 30 financial instruments within a single platform.

The customer

Logalty Group is the first Legaltech and Regtech company in Spain, specialising in digital identification, electronic signatures, certified communications, and regulatory compliance solutions.

Over the years, it has supported both large enterprises and SMEs across sectors such as banking, insurance, public administration, real estate, and retail in digitising critical processes with full legal and operational guarantees.

The complexity of their financial operations, combined with a growing volume of transactions, led the finance team – headed by CFO Carlos Echalecu – to look for a solution that could automate bank reconciliation and accounting while maintaining full visibility over cash management and control of accounting processes.

With Embat, they found the flexibility and scalability required to strengthen operational efficiency while maintaining high standards in security and compliance.
‍

“Embat has enabled our team to focus on more strategic tasks and tackle new challenges. Its flexibility and clear product roadmap, always aligned with our needs, have been key for us.”

"Embat is highly recommended if you’re looking to increase your team’s bandwidth and focus on higher-value tasks or new challenges. What stands out most is the flexibility of the platform and a product roadmap that’s been clear and consistent from day one."

The challenge

1. Automating complex bank reconciliation

Managing multiple banks and financial products created challenges in transaction matching, resulting in manual dependencies.

2. Reducing operational workload in accounting

‍The finance team needed to free up resources by automating repetitive, low-value accounting tasks.

‍3. Improving cash forecasting with consolidated data

Lack of real-time visibility and structured historical data hindered the quality and usefulness of forecasts.

4. Implementing a flexible, low-disruption solution‍

They required a solution that could integrate with Openbravo ERP without complex developments or operational downtime.

‍

Discover more about Embat

The solution

Automated accounting and bank reconciliation

Over 52 custom rules were implemented to support Logalty’s operations, covering invoice matching, reconciliation of payments/collections, and the automatic generation of journal entries.

More accurate, dynamic cash forecasting

With integrated banking data and analysis of historical flows, the team can now generate accurate and up-to-date cash forecasts aligned with actual operations.