CrewAI trade-offs for a document intelligence pipeline

Quick answer

I would not pick one side for both quarters. In quarter one I would ship the fast heuristic fix for the few document types that fail most, such as simple rules that route documents and check extracted fields, so users get relief quickly, and at the same time build a labeled golden set and typed output schemas. In quarter two I would refactor into a CrewAI Flow where plain code does parsing and validation, small crews with Pydantic outputs do only the judgment steps, and low-confidence documents go to human review, moving one document type at a time and deleting each heuristic once the evaluation shows the new path is as good or better.