Oliver Sjahsam
Seminars
Wednesday 11th November 2026
Discover: Separating AI Reality from Hype to Identify Where Automation Actually Reduces Operational Workload & Risk
11:30 am
- Avoiding wasted investment and implementation failure by distinguishing high-value, automation-ready use cases from AI initiatives that lack the data maturity, integration, or scale required to deliver real operational benefit
- Reducing operational workload and error rates by applying automation only where it replaces repetitive, high-volume tasks with clear ownership and measurable outcomes, rather than adding complexity or oversight burden
- Lowering operational and compliance risk by deploying human-in-the-loop automation models that improve consistency and decision support without relinquishing accountability or control in regulated environments
