What challenges did Embati face before AI implementation?

Complex, manual treasury and bank reconciliation tasks caused inefficiencies and higher error rates in financial workflows. There was a need to improve cash flow visibility and reduce user intervention in reconciliation processing. Finance teams required automation to free up time for higher-value strategic activities.

What was the impact of the AI solution?

Saved customers up to 10 hours per week by automating manual reconciliation tasks. Eliminated minimal errors produced by previous automation, enhancing data accuracy. Increased automation coverage to 32.7% of dataset processes, with some customers achieving over 60%. Enabled finance teams to spend more time on strategic, value-added activities improving business performance.

Source

GCP

Embati Innovates Financial Treasury Management with Generative AI on Google Cloud Vertex AI

Use case typeDocument automationUpdated Jun 13, 2026

Embati, a Spanish fintech company, automated complex treasury and bank reconciliation processes using Google Cloud's Vertex AI Generative AI, reducing manual effort and errors. They utilized Vertex AI to enrich data sets for automatic reconciliation and generate intelligent accounting suggestions, increasing automation to cover 32.7% of datasets. The solution allowed customers to save up to 10 hours per week and eliminated minimal errors in automated suggestions, enabling finance teams to focus on strategic decision-making. Embati's platform is built on Google Cloud microservices and integrates with Gemini for Google Workspace, supporting agile and scalable financial operations.

Organization: Embati
Industry: Finance
Location: Spain

Reported outcomes

+60%

quantified impactAutomation & deflection

10 hourstime+32.7%quantified impact

Strategic outcomes

Speed & agilityAutomated complex reconciliation processesCustomer experience & trustImproved data accuracy for customersScale & capacityExpanded automation coverage across processesEmployee experienceFreed finance teams for strategic work

Catalog median for automation & deflection deployments: +68% across 125 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

1Generative AI Automation
2Financial Process Automation
3Treasury Management

Complex, manual treasury and bank reconciliation tasks caused inefficiencies and higher error rates in financial workflows.
There was a need to improve cash flow visibility and reduce user intervention in reconciliation processing.
Finance teams required automation to free up time for higher-value strategic activities.

Leveraged Google Cloud Vertex AI Generative AI to decompose complex reconciliation processes into simpler tasks, improving data enrichment and reconciliation accuracy.
Built a platform on Google Cloud microservices with integrated APIs and used Gemini for Google Workspace for enhanced productivity.
Implemented a settlement proposal engine using AI and ML to generate automatic daily logs of receipts and payments.
The generative AI solution required no specific training dataset and achieved high response rates and accuracy.

Technologies

Vertex AI Generative AI Google Cloud microservices Gemini

Saved customers up to 10 hours per week by automating manual reconciliation tasks.
Eliminated minimal errors produced by previous automation, enhancing data accuracy.
Increased automation coverage to 32.7% of dataset processes, with some customers achieving over 60%.
Enabled finance teams to spend more time on strategic, value-added activities improving business performance.

Sources & evidence1

Groundedness: 5/5

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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Customer evidence