The full answer
Regulators are moving towards risk-based rules for AI, such as the EU AI Act, and sector regulators in finance, healthcare and the public sector increasingly expect AI systems to be explainable, monitored and under human control. Governance is far easier to build in than to retrofit.
Creuto starts in discovery by classifying each AI use case by its potential impact on people, money, health or legal rights. That classification determines how much oversight, testing and documentation the feature needs.
The engineering output includes a record of what data the system uses and where it comes from, which models and versions are in use, evaluation results, logs of inputs and decisions with agreed retention, and controls that let people review, correct or override AI outputs.
Data protection is handled alongside: GDPR, UK GDPR, UAE PDPL, India's DPDP Act and sector rules such as HIPAA shape how personal data is used in prompts, retrieval and logs, with hosting in the region you require and no training on your data.
Creuto follows SOC 2 and ISO 27001 aligned practices and helps clients produce the evidence their auditors need, without claiming certifications it does not hold. An AI consulting engagement can also establish an internal AI policy and review process.