AI Automation
The build that produces them, once an audit says it is worth building.
Read AI AutomationBusiness outcomes
What an engagement is meant to leave behind: less repetitive work, with EU AI Act and GDPR obligations already built into how the work runs rather than checked after it. It is the end of a sequence that starts with training and an audit, and it is reached one proven workflow at a time rather than in a single rollout.
What it means for a business
Outcomes arrive as workflows in production with their oversight defined, documentation the organisation owns, and staff trained to run and change what was built. Scaling happens one proven workflow at a time, each new process returning to step one of the audit, so every phase has to justify the one after it.
Related terms and pages
How We Audit
The five steps, and the five things an audit hands back.
Read How We AuditAI workflow
The single process an outcome is delivered one at a time through.
More on AI workflowAI audit
A diagnostic, not a named product: one five-step methodology (map your processes, document how they run,…
More on AI auditAutomation
Handing a repeatable piece of work to a system instead of a person. An audit separates the processes worth…
More on AutomationThe rest of the glossary
Every term used across this site's training courses, its audit methodology and the two regulations behind them, in one place.
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