AI automation often touches the information businesses care about most: candidate records, customer data, commercial documents, SOPs, audit evidence and internal communications. Vorlo designs every production workflow around controlled access, minimum necessary data and visible human accountability.
Vorlo does not use client confidential information to train a shared Vorlo AI model. If a project ever required a different arrangement, it would require explicit agreement.
We design workflows to process only the data needed for the defined task and avoid unnecessary copying, broad access or indefinite retention.
Integrations should use the minimum permissions supported by the client’s systems, with access scoped to the workflow wherever practical.
If a workflow uses an AI model, automation platform, cloud service or other subprocessor, that dependency should be identified as part of the solution design.
Hiring decisions, compliance conclusions, external communications and other consequential actions can include approval gates and exception routing.
We agree what must be retained, what can be deleted and where records should live instead of allowing temporary workflow data to accumulate indefinitely.
Before a sensitive workflow goes into production, the architecture should be understandable enough for the customer to review. A typical design is deliberately simple:
ATS, SharePoint, Drive, CRM, inbox or another client-approved source.
Limit fields, documents and permissions where technically possible.
The services involved are identified rather than hidden behind “AI”.
Important actions are approved, logged or escalated as required.
Outputs return to the appropriate client-controlled business system.
For production workflows handling confidential or personal data, we can document the controls and dependencies so you know what is being connected before access is granted.
Systems connected, data moving between them, where AI is invoked and where outputs are stored.
Identify third-party services required by the proposed workflow so customers can review them.
Define how access is granted, who controls credentials and what minimum privileges are required.
Agree which records need to persist and where temporary processing data should be removed.
Recruitment automation can involve personal data and, in some use cases, AI systems used to analyse or filter applications may fall into the EU AI Act’s high-risk category. Our default commercial position is therefore to automate coordination and administration while preserving meaningful human oversight over consequential recruitment decisions.
Our approach is informed by GDPR principles such as purpose limitation, data minimisation, storage limitation, integrity/confidentiality and privacy by design, together with human-oversight concepts relevant to the EU AI Act.
Vorlo does not claim ISO 27001, SOC 2, ISO/IEC 42001 or other certifications unless and until those certifications are formally obtained. Design alignment is not the same as certification.