Industry · Banking & insurance
Data, AI and core modernization — without stopping the bank.
We work with mid-sized LATAM banks and insurers on projects where the cost of error is real: core system migration, automated regulatory reports, explainable AI models, and disaster-tolerant multi-cloud architectures.
Recurring problems we see
- 01
Monthly regulatory reports consuming 80% of the data team
- 02
Monolithic core system where any change takes quarters
- 03
Rule-based fraud models that no longer detect new patterns
- 04
Audits that take weeks because there is no native traceability
What we deliver in this industry
- 01Automated pipelines for Superintendencia Financiera reporting
- 02Gradual core modernization with strangler-fig and CDC
- 03Fraud ML models with drift monitoring and explainability
- 04Governed data lake-house (Snowflake / Databricks) with lineage
- 05Auditable executive BI (Power BI / Tableau / Looker)
Typical stack
SnowflakeDatabricksPythondbtAWSAzurePower BITableauLookerISO 27001SARLAFT
Most applicable technical pillars
Next step
Working in banking & insurance? Let's talk.
30 minutes online, no sales pitch. We tell you honestly if we fit your challenge.