Manage AI Adoption: Pick Use Cases That Pay Off
AI & Automation Management: leave with an AI use-case scoring matrix, human-oversight rules and a pilot ROI estimate.
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Why ai & automation management matters — the common problem: AI experiments start everywhere with no way to decide which deserve investment.
- 2Core concepts in plain language: AI strategy, AI use-case discovery, AI readiness, use-case prioritization, automation opportunity assessment, robotic process automation
- 3Going further: workflow automation, AI vendor assessment, human oversight, AI governance, model evaluation, responsible AI
- 4Framework walkthrough: RACI, Risk Matrix, PDCA
- 5Practical workflow, built live: An AI use-case scoring matrix, human-oversight rules and a pilot ROI estimate.
- 6How to measure it: Availability, Incident frequency, Recovery time, Change failure rate, Technology cost
- 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation
Who it's for
- • IT managers and tech leads
- • Business owners making technology decisions
- • Operations teams adopting AI and automation
You'd leave with
- An AI use-case scoring matrix, human-oversight rules and a pilot ROI estimate.
- A working understanding of RACI and Risk Matrix
- A short list of measures to track: Availability, Incident frequency, Recovery time
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