AI-native
- Definition
- AI-native describes software designed from the ground up around large language models and AI agents, where AI is a core capability rather than a feature added on top of an existing product.
AI-native is a positioning term that distinguishes products built around LLMs and agents from products that add AI features to existing architectures. The distinction matters because the underlying data model, workflow engine, and user interface decisions for AI-native products differ from products retrofitting AI onto a legacy core.
In B2B GTM software specifically, AI-native typically means three things: a chat interface that can act on production data through tool calling (not just answer questions), workflow automation that includes AI steps as first-class nodes, and a data model designed to give the AI clean, queryable access to records across the workspace.
The term is sometimes overused. A useful test: if you removed the AI features, would the product still make sense? An AI-native product loses its primary value proposition when the AI is removed. A product with AI features bolted on continues to work normally.
How AI-native relates to Clentt
Clentt is an AI-native workspace. The chat interface uses Model Context Protocol with up to six rounds of tool calling per conversation, plugins expose their actions as tools, and workflows include AI steps that can call any plugin tool.
Related terms
- Model Context ProtocolModel Context Protocol (MCP) is an open standard for connecting AI models to external tools and data sources, letting an LLM discover and call functions provided by separate servers in a structured, secure way.
- GTM platformA GTM platform is software that unifies the tools a B2B revenue team needs to identify, engage, and convert customers, including prospect data, outreach, workflow automation, and pipeline management.
- Sales engagementSales engagement is the category of software and processes that orchestrates multi-touch outreach across email, phone, LinkedIn, and other channels, typically organized as sequences or cadences with scheduled steps and tracked engagement.
