3.4. Reflection Checkpoint

Key Takeaways

• Find use cases by scanning business functions for high-volume or high-value work, an AI-suitable pattern, available data, and an owner; map each capability to an operational metric and a business outcome.
• Source deliberately: buy commodity capabilities (SaaS, Amazon Quick, AWS Marketplace), build where proprietary data or process creates differentiation and you can sustain it (Bedrock or SageMaker AI), partner for speed and expertise; weigh budget, timeline, capabilities, vendor proposals, and regulatory requirements.
• Prioritize every initiative on value, feasibility, sustainability, and strategic alignment, and decide at stage gates to scale, pause, or terminate; a working POC is not a mandate to scale.
• Say "not AI" when logic is deterministic, data is poor, volume is low, errors are intolerable without oversight, or the process is broken.
• Protect continuity during transitions with parallel runs, phased cutover, and rollback, and re-validate prompts, evaluations, and integrations when changing platforms.
• Define tangible and intangible KPIs with owners and guardrail metrics; capture baselines before launch; calculate ROI with full cost of ownership; watch leading indicators such as adoption and acceptance.
• Match pricing models to usage (consumption, instance, seat); estimate with AWS Pricing Calculator and track with AWS Cost Explorer.
• Seek durable advantage in proprietary data, flywheels, workflow integration, and organizational capability, not model access; calibrate investment to industry maturity, competition, and readiness.

Connecting Forward

Strategy chooses where to go; governance determines whether you can go there safely and lawfully. Phase 4 covers responsible AI principles and the trade-offs they create, the governance structures and risk classification that scale oversight to risk, and the enterprise risks (bias, harmful content, IP, hallucination, drift) that can turn a strong business case into a liability.

Self-Check Questions

• Why might a strategist terminate a pilot that met all of its technical success criteria? Which prioritization criteria would justify that decision?
• An ROI calculation includes only token costs and theoretical time saved. What would a comprehensive framework add on both sides of the equation?
• A team wants to switch foundation model providers to save on per-token cost. What four considerations from the exam guide should shape the transition plan?
• Two competitors use identical foundation models. Where could each still build a durable advantage, and why does model access itself not qualify?