Add Multi-Agent Risk Review Workflow

Summary

Add a multi-agent enterprise risk review workflow where specialized agents inspect a proposal, contract, or deployment plan from different perspectives.

Proposed location

advance_ai_agents/multi_agent_risk_review/

What to build

Create a runnable multi-agent workflow with separate reviewer agents for security, legal, finance, and operations. Each agent should review the same input document or plan, produce structured findings, assign risk levels, and cite the reasoning behind its assessment.

A coordinator agent should merge findings, resolve conflicts, deduplicate issues, and produce a final structured risk report. Use LangGraph, Pydantic structured outputs, and optionally DSPy for evaluation or prompt optimization. Follow the repository's existing model-provider configuration pattern.

Acceptance criteria

• Includes a README.md based on .github/README_TEMPLATE.md.
• Includes sample proposal, contract, or deployment-plan input.
• Has separate security, legal, finance, and operations review roles.
• Produces structured findings with risk levels.
• Coordinator merges and deduplicates reviewer output into a final report.
• Includes at least one test or example run showing the expected workflow.
• Adds one catalog entry to the root README.md under Advanced AI Agents.

Contribution notes

Please keep this to one self-contained project and one pull request. Link the pull request with Closes #<issue-number>.