Attio unveils hybrid CRM architecture for AI agents and revenue teams

Attio: Attio is a customer relationship management platform focused on revenue teams and go-to-market operations. It has introduced a hybrid architecture that combines application controls with infrastructure-scale capabilities, allowing AI agents to query and interact with CRM data using SQL while maintaining business logic and compliance. The platform enables teams and agents to collaborate on the same customer records with features like native SQL joins and real-time data access. Nicolas O'Sharp: Nicolas O'Sharp is the founder and leader associated with Attio, responsible for announcing its new agent-focused CRM developments. He emphasizes the growing importance of systems of record in the age of AI agents and highlights Attio's hybrid design as a solution for agentic revenue workflows. AI Agents in CRM: Modern CRM systems are evolving to support direct SQL-based interactions that allow AI agents to perform complex joins, calculations, and analyses on live customer data. Agent Scalability: Enterprise software is being designed to handle simultaneous operation by thousands of AI agents on large datasets while preserving the same permissions and context as human users. Data Integration Trends: CRM platforms are increasingly exposing Postgres-compatible endpoints to enable real-time connectivity with business intelligence tools and agent systems without relying on data exports or warehouses.