- Custom model fine-tuning or training on proprietary data using Amazon SageMaker or Bedrock — governed data preparation, experiment runs, evaluation report, and deployment architecture included.
- Model strategy, data preparation plan, fine-tuning experiment outputs, evaluation report, governance controls, and handover documentation — domain-specific AI with a clear governance trail.
- Fixed-price implementation sprint with Basic, Standard, and Advanced dimensions based on model complexity, data volume, and deployment requirements.