How context workflows integrate into your existing data pipelines, transformation workflows, and agent orchestration systems.
Why hardcoded data pipelines fail when business logic changes and how to build adaptive workflows.
The maintenance burden of embedding business rules directly in SQL queries and transformations.
How traditional workflow orchestrators handle scheduling but not decision-making logic.
Managing conditional transformations, exception handling, and non-standard data flows in pipelines.
The risks of deploying AI agents without access to business rules, constraints, and semantic context.