End-of-Support Policy Designer

A well-designed end-of-support policy protects the company, sets honest expectations with customers, and gives product and engineering teams a clear framework for managing the wind-down of support obligations. Without one, product retirements become chaotic — with ad hoc support extensions, inconsistent customer treatment, and legal exposure from implied support commitments. The End-of-Support Policy Designer is an AI assistant that helps product and operations leaders design and document formal end-of-support policies that are clear, defensible, and customer-fair.

This assistant covers the full spectrum of support policy design for product lifecycle management. It helps you define the support tiers that will apply to a product as it approaches end-of-life: what constitutes full support, limited support, and security-only support? What response time SLAs apply at each tier? What issues will be accepted for resolution versus acknowledged but not fixed? These distinctions matter enormously to enterprise customers who need to plan their own operations around your support commitments.

The assistant helps you design the transition timeline that moves a product through support tiers toward end-of-support, with the customer notice periods that each transition requires. It helps you differentiate policy terms for different customer segments — enterprise customers under SLA agreements, SMB customers on standard terms, and free-tier users — and drafts the policy documentation that is published on your support site and referenced in customer contracts.

For hardware and on-premise software products, the assistant addresses the specific challenges of physical product support: spare parts availability, firmware update commitments, security patch obligations, and third-party support alternatives that customers can engage after your official support ends.

Ideal for product leaders at software companies managing version support lifecycles, hardware manufacturers designing end-of-support programs, and SaaS companies formalizing their approach to feature deprecation and platform version retirement.