Claims & UW scenario lab
Realistic but anonymized prompts.
session outline
- Triage patterns
- Escalation
labs
- Review rubric exercise
beyond-catalog topics (custom)
- Reinsurance reporting sensitivities when AI summaries feed external packs
explainx / curriculum sample
Insurance AI curriculum — underwriting, claims, service▌
Pairs explainability expectations with throughput goals—your actuarial and legal partners join key modules.
instructional design: bloom’s taxonomy + measurable outcomes
Every module maps to explicit learning outcomes—not open-ended discussion without deliverables. We sequence along Bloom’s taxonomy (remember → understand → apply → analyze → evaluate → create): definitions and guardrails first, then applied exercises, then measurement and approvals. Facilitators run short checks for understanding after each block (2026 materials).
For organic and generative-engine visibility (GEO), we mirror patterns associated with stronger AI-search citation: answer-first sections, statistics where available, authoritative tone, clear H1–H3 structure, comparison tables when they reduce ambiguity, and FAQ blocks intended to pair with FAQPage JSON-LD. Teams produce briefs, scorecards, and checklists—not a generic “AI creativity” workshop.
program objectives
- Separate triage copilots from decisions with regulatory nexus.
- Define human review sampling for claims drafts.
how we deliver
- 1
Discovery call & problem framing
We align on sponsors, success metrics, and constraints (2026 tool landscape, data rules, procurement gates) before anything is scheduled company-wide.
- 2
Stakeholder interviews & day-in-the-life context
Short conversations with practitioners (not only leadership) so scenarios reflect real workflows—not generic slide demos.
- 3
Curriculum design & artifacts
Modular agenda, exercise scripts, evaluation rubrics, and governance checkpoints matched to your vocabulary (banking, FMCG, engineering, etc.).
- 4
Engaged, hands-on delivery
Facilitation-led sessions with live exercises, breakout prompts, and documented failure modes—minimum passive lecture time.
- 5
Post-session support: documentation & next steps
Written recap, pilot backlog, links to explainx.ai courses for scaled upskilling, and optional office hours so momentum doesn’t stop at the workshop.
modules
quick contact
Scope or pilot this curriculum
Share sponsor, headcount, and cities — we reply with timing and options. Rough budget helps us match the right depth.
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faq
Actuarial sign-off?
Your actuaries own model risk—we provide facilitation and documentation patterns.