# Regulatory-safe product and plan fit navigator

**Summary:** Design a regulatory-safe product and plan fit navigator that lets visitors explore options without breaking internal or legal rules. Use AI to ask the right questions, apply eligibility logic, and show only compliant choices, with clear handover paths where human review is required.

**In short:** Help visitors explore suitable plans while AI quietly enforces your eligibility and risk rules in the background.

**Published:** 2026-02-18

*This recipe explains how to turn eligibility and risk rules into a guided plan selection experience that stays within clear boundaries.*

Not every product is available to every customer, especially in regulated environments. Eligibility can depend on geography, customer type, risk level, or existing arrangements. A plan fit navigator collects the minimum necessary information and uses it to filter plans before showing anything.

Create an **AI Skill** named, for example, “Plan eligibility navigator.” Define variables such as `country`, `customer_type`, `industry`, `risk_appetite`, and `current_products`. The skill should treat these as mandatory inputs and ask short, direct questions to fill them in. For clarity and auditing, keep these variable names stable over time and document them in your configuration.

Ground the skill on a narrow set of flat **Topics** like `Eligibility`, `Risk-policies`, `Regional-availability`, and `Product-constraints`. Associate regulations, internal rules, and plan availability guides with these Topics so the assistant never needs to pull from generic marketing copy when explaining why a plan is or is not allowed.

The core logic can live in a routing table or in the AI Skill itself. For each combination of `country`, `customer_type`, and `risk_appetite`, you mark individual products as `allowed`, `disallowed`, or `review`. The AI Skill uses this table after the questions phase, then presents only `allowed` options with short rationales based on the policy Topics.

If any product is flagged as `review`, the skill should not display it as a final recommendation. Instead, it adds details to `edge_case_reason` and `case_summary` variables and creates a **task** for a human reviewer, with a clear label such as “Eligibility review required.” A **notification** can be sent to a compliance or product operations channel so the case is not missed.

On the front end, you can complement the navigator with **in-app notifications** triggered by the same variables. For example, if `country=DE` and `risk_appetite=low`, you might show a small inline note or banner about local protection rules or recommended onboarding paths. Use **audience segmentation** based on these variables to restrict these messages to relevant visitors or logged-in users.

**Conclusion**  
A regulatory-safe product and plan fit navigator turns eligibility and risk rules into a clear, guided experience. With an AI Skill that captures key variables, answers grounded in targeted Topics, and structured handovers via tasks and notifications, you keep the experience smooth for visitors while staying within your internal and regulatory boundaries.