Unified customer-memory and governance layer that gives every AI agent on a team consistent context and enforced policies across tools.
What it does
Personize provides a shared memory layer that pulls customer history from CRM records, emails, transcripts, tickets, and documents so that any AI agent an organization deploys works from the same context. It also lets teams define governance policies and guardrails once and enforce them consistently across every agent and workflow, connecting via Skills, MCP, or a REST SDK.
Core features
Persistent unified customer memory across CRM, email, tickets, and docs
Governance layer for defining and enforcing agent policies
MCP endpoint for connecting tools like Zapier, n8n, and Clay
REST API and SDK for custom agent development
Skills packages for coding tools like Claude Code, Cursor, and Codex
Best for
→Keeping customer context consistent across multiple AI agents and channels
→Enforcing brand and compliance guardrails on all deployed agents
→Connecting no-code automation tools to a shared customer memory
→Building custom agent workflows on top of unified customer data