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# Risk Assessment & Mitigation

Every project has risks. The question is whether you identify and address them proactively or discover them as crises. AI is uniquely useful here because it has no emotional investment in the project succeeding — it will surface uncomfortable risks that team members might avoid mentioning.

Comprehensive Risk Assessment

Conduct a risk assessment for this project:

PROJECT: [description]
TIMELINE: [start date to end date]
TEAM: [size and composition]
BUDGET: [total budget]
DEPENDENCIES: [external teams, vendors, APIs, etc.]

Identify risks in each category:

TECHNICAL RISKS:
- Technology risks (new tools, complex integrations)
- Performance and scalability risks
- Security and compliance risks

PEOPLE RISKS:
- Key person dependency (what if someone leaves?)
- Skill gaps (does the team have what they need?)
- Availability conflicts (vacations, other projects)

SCOPE RISKS:
- Requirements ambiguity (unclear requirements)
- Scope creep (expanding requirements)
- Dependencies on external decisions

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What you'll learn:

  • Conduct structured risk assessments using AI to identify blind spots
  • Build a risk register with probability, impact, and mitigation strategies
  • Use AI to monitor for emerging risks throughout the project lifecycle