Architecture case-study blueprint: no deployment results, customer endorsement, or measured improvements are claimed.
Data and operating scope
Define workload identity, usage records, model configuration, evaluation cases, and quality thresholds.
Deterministic solution
Calculate agreed cost-per-task measures and report usage against workload budgets.
Agentic solution
Propose caching, routing, or scheduling experiments and explain quality and latency tradeoffs.
Acceptance evidence
Cost baseline, quality and latency evaluation, approved experiment scope, and owner-reviewed decisions.
Decision boundary
Cost recommendations must consider reliability, security, commitments, and workload demand. Agents do not authorize purchases, change production capacity, or guarantee savings.