AI, FROM PLAN TO PRACTICE
The architecture
of useful AI.
Five connected disciplines. One focus: intelligence that fits the work, with clear boundaries around what it can do.
A clear plan before the first model call.
Translate an AI objective into a system that can be built, evaluated and operated. Define the data, model, integration and control layers together.
What the work covers
- Use-case and requirements map
- Model, data and integration architecture
- Evaluation criteria and implementation roadmap
- Risk, ownership and operational boundaries
Decide what should be deterministic, where a model adds value, and when a person must remain in the decision path.
The right architecture begins
with the right constraints.
Quality. Data sensitivity. Latency. Cost. Integration. Oversight. Bring the tradeoffs into the plan before they become problems in the implementation.
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