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Frequently asked questions
We understand that when considering our solutions, you may have questions about how we work, what we offer, and the kind of support you can expect. To make things easier, we’ve compiled answers to the most frequently asked questions from our clients. This section is designed to provide you with clear, straightforward information so you can feel confident and well-informed as you explore our services. If you don’t find the answer you’re looking for, our team is always ready to assist you directly.
Company & PositioningSherpa Plus Platform OverviewSherpa Lens - AI OptimizationSherpa Engage - Retention & Loyalty LayerAPI Integration & Operating FlowsUnderwriting Risk Control & Claims PhilosophyPayments & Crypto RailsCompliance Security & ReliabilityEcosystem Orchestration - Beyond TechRoadmap & Agentic AIMarkets Regions & Use CasesPartnershipsBusiness Model & EconomicsCompany Team & CredibilityOnboarding & Partner JourneyComparison Q&AsAI & Optimization AdvantagesAPI & Architecture AdvantagesMGA Capacity Structuring AdvantagesSpeed-to-Launch AdvantagesProduct Co-Creation AdvantagesRegulatory & Multi-Market AdvantagesClaims & Full-Stack Operating AdvantagesDual-Side Enablement & Ecosystem Advantages
What is Gangkhar’s Phase 1 and Phase 2 roadmap?
Phase 1 is live (full-stack platform + AI). Phase 2 is in development: an agentic AI layer that translates business goals into autonomous product configuration, launch, and optimization.
What does “agentic AI” mean here?
AI that can act toward goals—configuring and optimizing products autonomously—rather than only providing analytics or recommendations.
Does Gangkhar plan to reduce human operational effort over time?
Yes. The roadmap describes moving toward autonomous configuration and optimization with minimal or no human input.
How does “goal-based AI” relate to agentic AI?
Goal-based AI is an approach where you define objectives (e.g., maximize LTV, reduce churn) and the system continuously selects actions to achieve those outcomes.
Will agentic AI replace underwriting teams?
The philosophy described is “controlled automation with human authority,” indicating automation is designed with oversight and discipline.
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