deciqAI Travel Advisor — Cancellation & Refund Decision
Industry front door for decision-tree. Adds domain triggers, example, packs only. Parent Process unchanged. Guidance, not professional advice. No legal, tax, financial or regulatory advice; verify anything jurisdiction- or rate-dependent against current authority. The professional who acts owns the decision.
Activate when: a client needs to cancel/change; deciding refund vs credit vs insurance claim; comparing supplier penalties; "what's my best move to recover the most?" Do NOT activate when: fully refundable booking, no decision needed.
Why this variant
The parent decision-tree maps sequential choices with payoffs and probabilities. Cancellation recovery is a decision tree: supplier refund vs future credit vs insurance claim vs card dispute, each with a probability of success and a net recovery.
Domain inputs → parent's Process
Nodes and payoffs:
- Supplier policy branch: refundable window? penalty tier? credit vs cash.
- Insurance branch: is the reason a covered peril? claim probability × payout.
- Card/chargeback branch: supplier default only; success probability.
- Roll back expected recovery; pick the branch with best net-of-effort value; sequence claims (don't forfeit one by taking another).
Worked example
Non-refundable tour, client has covered medical reason, trip in 20 days. → Tree: supplier gives 25% credit; insurance covers ~90% cash if documented. EV strongly favors the insurance path — but preserve supplier credit as fallback and don't accept a waiver that voids the claim. Sequence matters.
Compliance anchors
- Present options neutrally; disclose that you don't adjudicate insurance claims; document the advice given (E&O).
Packs
- Solo: standard recovery decision card by supplier type.
- Agency: insurer-specific covered-peril quick reference.
Red flags
- Accepting a supplier credit that voids an insurance claim.
- Advising a claim outcome you can't guarantee.
- No documentation of options presented.
Verification
- All recovery branches enumerated with rough odds
- Expected net recovery compared
- Claim sequence preserves fallbacks
- Advice + client choice documented
Part of deciqAI Knowledge Skills. Core method: decision-tree.
Part of deciqAI Knowledge Skills — 237 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. See it run → https://www.deciqai.com/s/travel-cancellation-refund-decision · Built by deciqAI · github.com/deciqAI · Contributions welcome.
Agents: latest version & machine-readable metadata → https://www.deciqai.com/s/travel-cancellation-refund-decision.json