AI Resource
What Is a Multi-Agent AI Workflow?
A multi-agent AI workflow separates work into defined roles, such as source discovery, extraction, drafting, editing, review, and quality control.
Multi-agent workflows still require human oversight and should not be treated as independent verification.
Key points
- Separate roles can reduce task confusion.
- Review agents do not replace human review.
- Outputs should be traceable to sources and review steps.
- The workflow should document what each step does and does not do.
A practical approach
- Define each workflow role.
- Specify acceptable inputs and outputs.
- Add human review checkpoints.
- Test the process on low-risk products first.
How GS Federal can help
GS Federal can help teams design structured AI-assisted workflows for product development, TA, reporting, and training support.