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Enterprise AI readiness before the pilot
The business, data, security, and operating-model questions leaders should answer before launching enterprise AI initiatives.
Azfar Solutions AI PracticeJuly 20267 min read
Begin with a decision, not a model
The strongest AI opportunities improve a specific decision, workflow, or customer outcome. Selecting technology before defining the business problem often produces impressive demonstrations with limited operational value.
Assess readiness across five dimensions
- Business value and process fit.
- Data quality, access, and provenance.
- Security, privacy, and regulatory obligations.
- Architecture and integration.
- Adoption, ownership, and ongoing monitoring.
Design controls with the use case
Responsible AI cannot be added after deployment. Human oversight, approved data sources, logging, evaluation, and escalation should be part of the initial design.
Scale through reusable patterns
- Approved reference architectures.
- Common identity and access controls.
- Reusable prompt, retrieval, and evaluation patterns.
- A prioritized use-case portfolio.
- Defined product ownership and support.