Solution Strategy & Constraints shifts the work from deciding what should be possible to determining how it can be delivered. This is a cross-functional design phase led by architecture and engineering, with product, data, security, design, and business partners contributing requirements, dependencies, and tradeoffs.

The team translates the intended experience into a viable solution approach, defines the high-level workflow and technical shape of the capability, and determines how each part of the workflow should be executed. Some steps may require AI reasoning, while others are better handled by deterministic logic, tools, existing systems, or human judgment.

The team also identifies the constraints that will govern the solution, including data and integration needs, human oversight, explainability, and the cost, quality, and latency tradeoffs that influence implementation decisions.

Product remains engaged to protect the user outcome, clarify priorities, and define acceptable tradeoffs, while technical leaders determine how the capability will operate within the enterprise environment. The outcome is a shared solution approach that is concrete enough to support detailed agent definition, implementation planning, and delivery.

What's Included:

• Solution Objective

• Role of AI

• User Experience

• Agentic Workflow & Orchestration

• Execution Approach

• Human Oversight

• Constraints & Guardrails

• Cost, Quality & Latency

• Success & Failure Behavior