Attio 发布新的 CRM 混合架构，让 AI 智能体与收入团队在同一份客户数据上协作，智能体可用 SQL 查询数据，业务逻辑、策略与合规仍留在查询之后。SQL 引擎可在 Attio 内运行 joins 和计算，一次查询即可返回加权预测或季度赢单率；还推出连接器，让 Metabase、Looker 等 BI 工具通过 Postgres 兼容链路读取实时 CRM 数据。
Attio has introduced a new CRM architecture that lets AI agents work alongside revenue teams on the same customer data.
Teams can ask their agents questions about the data they are working on and get an SQL-backed answer.
The SQL engine can run joins and calculations inside Attio, so one query can return a weighted forecast or quarterly win rate.
Attio launched connectors so that BI tools like Metabase or Looker can read live CRM data through a Postgres-compatible link.
Agent scale allows up to 100 million records per object, letting thousands of agents work through the same account at once.
In the age of agents, systems of record have never mattered more. They’ve also never been less prepared for what’s coming. Today, we’re announcing @attio's hybrid architecture, with the controls of application software at the scale of infrastructure. To agents, Attio looks like a database, queryable in SQL - a language they're RL’d on. Unlike a database, the business logic, policies, and compliance sit behind the query. This makes all of Attio’s data accessible by agents in the most powerful and flexible syntax. It gives GTM teams an order of magnitude more value from their time, with the full power of agents working across the entire customer lifecycle. A new shape of software is here. http://attio.ai/architecture在 X 查看被引用的帖子
来源：🚨 AI News | TestingCatalog · x.com