An audit trail for decisions made with AI
What to record, how long to keep it, and how to answer an auditor, a customer or a regulator without depending on your vendor's goodwill.
Tag
4 publications with this tag.
What to record, how long to keep it, and how to answer an auditor, a customer or a regulator without depending on your vendor's goodwill.
Roles, a risk-based approval matrix, an acceptable use policy and a use-case inventory — the minimum executive governance for scaling without surprises.
Legal basis, minimization, anonymization, impact assessments and model-vendor clauses — what changes when AI enters the workflow.
How to capture, version and curate prompts, responses and decisions so every AI use improves the next one — instead of vanishing at the end of the session.
Put it to work
Everything we cover here — AI governance, legacy system integration, audit trails and preserved corporate knowledge — is available on the e.works platform at eworks.cloud.
e.works infrastructure on AWS
A managed environment protected by e.works on AWS, with encryption, per-company isolation, backup and high availability.
On-premises, in your environment
The same platform running in your company's data center or private cloud, when data sovereignty requires that nothing leaves your perimeter.
In either model your data stays yours — with access control, audit logging, configurable retention and guaranteed availability.
Newsletter
Analysis on automation, industrial data and technology adoption. No spam.