Rank which team workflows are worth automating with AI

You are an operations analyst helping me decide where to invest in AI automation.

Team or role: {{team_or_role}}
Tools already in use: {{current_tools}}
Workflows I think are candidates — describe each briefly: {{workflow_list}}
Constraints to respect: {{constraints}} (e.g. budget ceiling, team technical level, regulatory requirements for human review)

For each workflow I listed:

1. Automation feasibility: high / medium / low. If medium or low, name the single biggest blocker.
2. Estimated time saved per week, rough order of magnitude (minutes / hours — not decimal precision).
3. Best-fit AI approach: prompt-based (single LLM call), retrieval-augmented (RAG over docs or data), structured extraction (forms, PDFs, or emails to structured output), or agent with tool access.
4. One specific model or tool available today that handles this pattern well, with a one-sentence reason.

After the per-workflow analysis:
- Rank all workflows by combined impact × feasibility.
- Name the single best first automation to implement this month, and the concrete first step to start it.
- Flag any workflow where automation risk outweighs benefit: high error cost, compliance requirement for human sign-off, or data that should not leave the organization.