Document the approval chain for exceptions to policy on AI in insurance risk pricing.
Artificial Intelligence Applications in Insurance Risk Pricing
Build a working method for AI in insurance risk pricing that stands up to scrutiny and survives daily pressure.
📍 Cairo🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Models supporting AI in insurance risk pricing fail quietly, and usually at the worst moment. Capital, liquidity and reputation are all exposed by weak handling of risk pricing. The programme is built to be used, and every section of the financial and banking practice discipline it covers ends in something applicable. The method assumes participants will be challenged on their handling of AI in insurance risk pricing and prepares them for it. The course leaves participants able to diagnose weaknesses in the practice within financial and banking practice before they become incidents. The difficulty is not agreeing that risk pricing matters — it is deciding what to stop doing to make room for it. Comparative studies of AI in insurance risk pricing across sectors find the same handful of failure points recurring. It is appropriate for those preparing to take on wider responsibility for risk pricing. The programme ends where implementation begins, with this strand of financial and banking practice broken into steps someone can start on Monday.
Expected Learning Outcomes
Stress test risk pricing against scenarios that are plausible rather than comfortable.
Apply the relevant accounting and disclosure treatment to AI in insurance risk pricing.
Agree the first three actions on risk pricing that will be taken on returning to work.
Communicate the purpose of AI in insurance risk pricing to those who have to comply with it.
Build the internal capability for risk pricing rather than depending on external support indefinitely.
Define the risk appetite applying to AI in insurance risk pricing and translate it into operating limits.
Who Should Attend
Operations staff who encounter the consequences of AI in insurance risk pricing directly.
Board risk committee members overseeing risk pricing.
Relationship and product managers whose targets depend on AI in insurance risk pricing.
Finance managers reporting on risk pricing.
Compliance officers overseeing AI in insurance risk pricing.
Coordinators responsible for keeping records and documentation of risk pricing current.
Course Modules
AI in insurance risk pricing: stress testing and scenario analysis
2 sessions · 8 pointsSession 1Reading the current state of AI in insurance risk pricing honestly
- Record the rationale for each significant choice made about AI in insurance risk pricing.
- Verify six months later that changes to risk pricing have held.
- Verify reconciliation and settlement controls covering AI in insurance risk pricing.
- Rehearse the briefing on risk pricing that would follow an incident.
Session 2Moving risk pricing from approval to execution
- Agree what will be standardised in AI in insurance risk pricing and what will not.
- Confirm reporting on risk pricing reaches the committee that can act on it.
- Translate the appetite for AI in insurance risk pricing into limits someone monitors daily.
- Decide what will be stopped to create capacity for risk pricing.
Risk pricing: capital, liquidity and balance sheet effect
2 sessions · 8 pointsSession 1Getting other functions to support risk pricing
- Review the pricing of AI in insurance risk pricing against the risk being assumed.
- Establish what evidence demonstrates risk pricing is under control.
- Agree the indicators that will show whether AI in insurance risk pricing is improving.
- Define the trigger that would require risk pricing to be redesigned.
Session 2Stress scenarios for risk pricing that are plausible rather than convenient
- Agree the smallest change to AI in insurance risk pricing that would be visibly useful.
- Close out actions on risk pricing rather than leaving them open indefinitely.
- Reduce the variation in how AI in insurance risk pricing is carried out between teams.
- Check the legal and contractual exposure created by risk pricing.
Risk pricing: risk appetite, limits and policy
2 sessions · 8 pointsSession 1Reporting risk pricing so the reader can act on it
- Identify where judgement in AI in insurance risk pricing is legitimate and where it is not.
- Identify the key controls over risk pricing and who tests them.
- Set early warning indicators for AI in insurance risk pricing with defined action thresholds.
- Draft the minimum viable control framework for risk pricing.
Session 2The assumption inside the model for AI in insurance risk pricing that nobody revisits
- Compare the cost of AI in insurance risk pricing with the cost of its absence.
- Test risk pricing against a scenario the organisation would rather not model.
- Agree who signs off AI in insurance risk pricing and record that they did.
- State the risk appetite for risk pricing as a number, not an adjective.
Risk pricing: measurement, models and their assumptions
2 sessions · 8 pointsSession 1What a supervisor will ask about risk pricing, and in what order
- Assess the capital consumed by AI in insurance risk pricing under current and stressed conditions.
- Confirm that reporting on risk pricing reaches the people who can act.
- Confirm client due diligence standards applied to AI in insurance risk pricing are current.
- Confirm regulatory reporting on risk pricing is complete, timely and reconciled.
Session 2What risk pricing does to capital and liquidity under stress
- Confirm segregation of duties across initiation, approval and settlement of AI in insurance risk pricing.
- Document the remediation plan for each known weakness in risk pricing.
- Test the procedure for AI in insurance risk pricing against a realistic scenario.
- Design the exception process for risk pricing and require a documented rationale.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
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