2.4. Reflection Checkpoint

Key Takeaways

• Agent use cases fall into three categories — automation, analytics, and decision-making — each requiring different levels of autonomy and guardrails. Not every process needs AI; architects must know when simpler solutions suffice.
• Data quality for grounding is evaluated across five dimensions (accuracy, relevance, timeliness, cleanliness, availability). Poor grounding data is the #1 cause of agent failures in production.
• The Cloud Adoption Framework provides a four-phase iterative process: Strategy, Plan, Govern & Secure, Build & Manage. It emphasizes organizational readiness alongside technical capability.
• An AI Center of Excellence coordinates strategy, governance, and skills across the enterprise. The operating model (centralized, federated, advisory) should match organizational AI maturity.
• The build/extend/prebuilt decision is one of the highest-impact architectural choices. Default to the simplest option that meets requirements — prebuilt first, extend second, build custom only when necessary.
• Model routing optimizes cost and performance by matching request complexity to model capability. It is distinct from load balancing.

Connecting Forward

Phase 3 moves from planning to designing. You'll apply the strategic decisions made in this phase — platform selection, agent type choices, data readiness assessments — to the actual design of agents in Copilot Studio. You'll design agent types (task, autonomous, prompt-and-response), build topic-based conversational logic, and extend agents with MCP, Computer Use, and advanced behaviors.

Self-Check Questions

• A CFO asks you to justify an AI investment for customer service automation. What cost categories would you include in the TCO that are unique to AI (not present in traditional software projects)?
• An organization wants to use AI for two tasks: (1) answering employee HR questions and (2) detecting fraudulent transactions. For each, would you recommend a prebuilt agent, extending an existing solution, or building custom? Justify your reasoning.
• A company processes 50,000 support tickets monthly. 80% are password resets and account lockouts. 15% require policy lookups. 5% need complex investigation. Design a model routing strategy that optimizes both cost and response quality.