AI Introduction in the Light of Organizational ...
summary
Presents a practical organizational AI maturity model with six stages and eight dimensions, claims companies typically sit in one stage (example: a client with 50 ongoing projects), and prioritizes building organizational capabilities over raw models. Recommends a three‑layer use case pattern—copy/paste, augment, automate—plus microservice/data mesh architectures, role definitions (AI business partner, ambassador, key user), a risk‑based rollout rubric (data/tech/process axes), and simple testing heuristics; shows these approaches work to move pilots into repeatable, lower‑risk deployments.
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chapters (25)
- 0:00Intro
- 4:19Different kinds of organizations
- 6:30AI Maturity Model
- 13:41Role of Creation
- 15:13The 8 Dimensions
- 17:02How did AI change the perception of AI
- 18:38Three components of AI
- 19:17CHGPT
- 21:12Electric Engine
- 23:00Large Language Models
- 28:07First Version
- 29:32How we did this
- 32:08What is the input
- 33:10Opportunity canvas
- 35:45Key organizational capability
- 36:47Roles
- 42:06Red button problem
- 43:06Risk assessment
- 45:38Who will use it
- 48:36Testing
- 50:21Experimentation
- 50:56Price Drop
- 52:40Price Drop in Marketing
- 54:16AI is Not Creating Value
- 54:56Questions
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