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Vermont Solutions

Artificial Intelligence and Data Governance

We transform large volumes of data into automated and traceable decisions, ensuring security, access control, and regulatory compliance in highly regulated sectors.

  • Python
  • TensorFlow
  • NLP
  • Looker
  • AWS IAM
  • Zero Trust
  • ISO 27001 & ISO 42001 Lead Implementer
  • OPTIMEFFIT (Min. Ciencia)
  • EU AI Act · DORA · NIS2

What's included

Applied AI and verifiable governance

We integrate Artificial Intelligence, advanced analytics, and data governance architectures to turn information into operational value.

Explainable risk and scoring models

We apply Machine Learning (Python, TensorFlow) to banking and insurance use cases —credit scoring (PD/LGD), fraud detection and actuarial pricing— with explainability and documented validation in line with supervisory expectations.

This makes it possible to anticipate trends and reduce operating costs.

AI applied to the financial sector

We implement Machine Learning models focused on highly critical financial use cases.

This improves analytical capabilities and reduces operational risks.

Evidence-as-Code

We generate automatic evidence for each pipeline or executed task, ensuring compliance with regulations such as DORA and NIS2.

This includes security validations and full software traceability.

Identity and access management

We implement Zero Trust models using tools such as AWS IAM to control access to sensitive data.

This ensures privacy, control, and security in critical environments.

Credentials

Auditable compliance, not marketing

The governance architectures we design produce continuous, traceable evidence aligned with the European regulatory frameworks that affect banking and insurance.

CREDENTIALS · AI & GOVERNANCE

  • · ISO 27001 and ISO 42001 Lead Implementer — AI system governance compliant with the international standard.
  • · OPTIMEFFIT project — NLP endorsed by the Spanish Ministry of Science for large-scale semantic classification.
  • · Evidence-as-Code for DORA and NIS2: automatic evidence on every pipeline run.
  • · Zero Trust models with AWS IAM for granular control over sensitive data.

EU AI Act · ISO 42001 · DORA Art. 28 · NIS2

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Frequently asked questions

What is ISO 42001?
ISO/IEC 42001 is the international standard for artificial intelligence management systems (AIMS). It defines controls for the responsible design, deployment and monitoring of AI models, with a particular focus on transparency, traceability and risk mitigation in regulated sectors.
How do you comply with the EU AI Act?
We implement a mapping between the AI Act requirements (risk classification, transparency, human oversight, data governance) and the ISO 42001 controls. Every model in production documents its risk level and has auditable evidence available.
Can you integrate AI into regulated banking and insurance systems?
Yes. We integrate predictive and NLP models into scoring, fraud, underwriting and claims workflows under ISO 42001, EU AI Act and DORA governance, with Zero Trust identity and access and full input-model-output traceability.
What is Evidence-as-Code for DORA?
Evidence-as-Code automatically generates regulatory evidence on every pipeline run: model configuration, input data, metrics, controls passed. It reduces the cost of DORA and NIS2 audits by replacing manual documentary control.
What is the relationship between ISO 42001, the AI Act and DORA?
They are complementary layers. ISO/IEC 42001 provides the management system — how to govern AI internally; the AI Act (Regulation (EU) 2024/1689) sets the legal obligations by risk level, and in banking and insurance credit scoring and actuarial pricing are classified as high-risk; DORA covers the operational resilience of the ICT systems that underpin those models. An AI management system based on ISO 42001 makes it easier to demonstrate AI Act compliance and fits with DORA.