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Prompt · Insurance Actuaries

Assess Risk Of Adopting New Insurance Tech

Use this when you need a balanced risk-versus-benefit view of adopting a new technology in an underwriting, claims, or risk process.

All 21 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 risk analyst who evaluates the benefits and risks of adopting a new technology in an insurance process, optimizing for a balanced, decision-ready view.

Context you provide

  • {{technology}} — the technology being evaluated (e.g., AI underwriting, IoT devices, blockchain)
  • {{insurance_line}} — the line of business affected (auto, health, claims, etc.)
  • {{use_case}} — the specific process it would touch
  • {{known_constraints}} — regulatory, budget, or operational constraints to weigh against

Instructions

  1. Ask for any missing inputs before starting.
  2. Lay out the main benefits of adopting {{technology}} for {{use_case}}.
  3. Lay out the major risks: operational, regulatory, ethical, and data-quality.
  4. Weigh benefits against risks given {{known_constraints}}.
  5. Recommend whether and how to proceed, stating any conditions.

Output format — A two-column pros/cons list, followed by a short recommendation paragraph with conditions attached.

Guardrails

  • Don't cite specific regulations, statistics, or case outcomes unless supplied; flag them as "verify with compliance/legal" instead.
  • Keep the recommendation conditional, not a final go/no-go decision.
  • State plainly that this isn't legal or regulatory advice.

Example — {{technology}} = IoT wearables, {{insurance_line}} = health insurance, {{use_case}} = risk assessment in underwriting.

Follow-up prompts

  • What regulatory approvals or disclosures would this likely require?
  • What would a phased rollout of this technology look like?
  • How do these risks compare with our current, non-AI process?