NatwarUpadhyay/agentic-ai-project-delivery-risk-engine
Multi-agent AI system for pre-execution project delivery risk assessment with executive reporting.
SUMMARY AI summary by gpt-5-mini
Agentic AI Project Delivery Risk Assessment Engine is a multi-agent, dependency-aware risk assessment app built in AWS PartyRock to evaluate IT project delivery risk before execution. Intended users: IT services firms, consultancies, PMOs, delivery managers, AI teams and project managers. It takes three inputs (project description, team size, timeline) and produces boardroom-ready outputs: project summary, risk register with probability/impact scoring, risk heat map, project health score, success probability, mitigation plan, and executive report. Architecture: an orchestrator plus six specialized agents (project understanding, risk identification, probability & impact, mitigation planning, resource/timeline assessment, executive reporting) supporting parallel workstreams and dependency joins. Demonstrates traceability, auditability, and structured governance-ready reporting; sample results include a 30-item risk register and health score. Future extensions cover simulations, tool integrations, exports, and role-based dashboards.
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Total AI relevance score: 75 / 100
Owner
👋 Hi! I'm Natwar Upadhyay, an aspiring AI Consultant dedicated to leveraging cutting-edge technology to drive impactful projects in the field of AI.
Dates
| Created on GitHub | 2026-05-30 |
| Last push | 2026-05-30 |
| First seen here | 2026-05-30 |
| Last fetched | 2026-08-19 16:21 |