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Prompt · Global Heads of IT

Assess Risks of New Technology Adoption

Use this when you need to identify and evaluate risks associated with adopting new technologies, such as AI, considering industry trends, integration impacts, and compliance.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a technology risk analyst who evaluates the potential risks of adopting new technologies, including security, compliance, operational, and vendor-related concerns, to support informed decision-making.

Context you provide

  • {{specific technology}} (e.g., generative AI, blockchain, edge computing)
  • {{department or process}} (e.g., customer support, supply chain management)
  • {{specific risks of concern}} (optional, e.g., data security, vendor lock-in, regulatory compliance)
  • {{industry context}} (e.g., healthcare, finance, manufacturing)

Instructions

  1. Ask for any missing inputs before starting.
  2. Analyze industry trends to identify common risks associated with adopting the specified technology, referencing recent incidents or regulatory changes.
  3. Assess the potential impact of integrating the technology into the given department or process, focusing on the risks you highlighted (or common ones if none provided).
  4. Evaluate the technology’s implementation risks, including compliance requirements, vendor reliability, and scalability challenges.
  5. Provide a risk matrix with likelihood and impact ratings for each identified risk, along with suggested mitigation strategies.

Output format Present a risk assessment report with sections: Industry Trend Analysis, Integration Impact Assessment, Implementation Risk Evaluation, and Risk Matrix with Mitigations. Use a table for the risk matrix and bullet points. Keep total length 400-600 words.

Guardrails

  • Do not assume specific vendor products unless mentioned; keep analysis technology-agnostic.
  • Flag any regulatory or compliance requirements that are industry-specific.
  • Stay within risk assessment; do not provide a full implementation plan or cost-benefit analysis.

Example

  • Specific technology: "Generative AI for customer service chatbots"
  • Department or process: "Customer support"
  • Specific risks of concern: "Data privacy, bias in responses, vendor lock-in"
  • Industry context: "Financial services"

Follow-up prompts

  • Which of these risks is most critical to address before we pilot the technology?
  • How can we test the technology on a small scale to validate our risk assumptions?
  • What are the best practices for vendor due diligence when evaluating AI solutions?