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AI Adoption & Organizational Readiness — Google Gen AI Leader Practice Question

A representative Google Cloud Generative AI Leader (Google Gen AI Leader) exam question on AI Adoption & Organizational Readiness. Work through it below, then read why each option is right or wrong.

Short answer

The correct answer is C. Conduct an organizational readiness assessment covering data maturity, talent gaps, governance structures, and risk tolerance.

Before launching any AI initiative, an organization without prior AI experience must assess its readiness across multiple dimensions including data infrastructure, skills, governance, and risk appetite. This foundational step ensures the organization can identify gaps and plan appropriately. Option A skips critical readiness steps and jumps straight to deployment, while options C and D commit significant resources before understanding whether the organization is prepared to support and govern AI systems.

The Question

A mid-size financial services firm wants to adopt generative AI but has no prior AI experience. The CTO has proposed starting with a customer-facing chatbot for loan inquiries. The Chief Risk Officer has raised concerns about regulatory exposure. What should the organization do first before launching any generative AI initiative?

ADeploy the chatbot in a sandbox environment and gather customer feedback before scaling
BHire a team of machine learning engineers to build a custom large language model tailored to financial services
CConduct an organizational readiness assessment covering data maturity, talent gaps, governance structures, and risk toleranceCorrect
DPurchase an enterprise AI platform license and begin training employees on prompt engineering

Why C is correct

Before launching any AI initiative, an organization without prior AI experience must assess its readiness across multiple dimensions including data infrastructure, skills, governance, and risk appetite. This foundational step ensures the organization can identify gaps and plan appropriately. Option A skips critical readiness steps and jumps straight to deployment, while options C and D commit significant resources before understanding whether the organization is prepared to support and govern AI systems.

Why the other options are wrong

Option A: Deploy the chatbot in a sandbox environment and gather customer feedback before scaling

Option A does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (C) is the only one that fully meets every constraint stated in the question.

Option B: Hire a team of machine learning engineers to build a custom large language model tailored to financial services

Option B does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (C) is the only one that fully meets every constraint stated in the question.

Option D: Purchase an enterprise AI platform license and begin training employees on prompt engineering

Option D does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (C) is the only one that fully meets every constraint stated in the question.

Key idea: AI Adoption & Organizational Readiness

Before launching any AI initiative, an organization without prior AI experience must assess its readiness across multiple dimensions including data infrastructure, skills, governance, and risk appetite. This foundational step ensures the organization can identify gaps and plan appropriately. Option A skips critical readiness steps and jumps straight to deployment, while options C and D commit significant resources before understanding whether the organization is prepared to support and govern AI systems. On the Google Gen AI Leader exam, questions in the "Business Strategies for Gen AI" domain test whether you can map a scenario's constraints to the right choice. Read the requirement carefully, eliminate options that violate any single constraint, and pick the one that satisfies all of them with the least operational overhead.

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