Customer success starts with knowing the customer.
Outlit is an AI agent for customer success teams. It monitors every account and takes action across onboarding, retention, and expansion. Customer context infrastructure gives that agent a current, evidence-backed view of each relationship before it recommends or does the next piece of work.
Why Outlit exists
Customer knowledge is usually scattered across systems built for separate teams and separate moments. A health score may show that an account changed, while the reasons remain buried in a support thread, a call, an invoice, or a sequence of product events. People spend time rebuilding the story before they can help the customer.
AI agents make that context problem more urgent. Tool access alone does not tell an agent which records belong together, what changed, or which source supports a claim. Outlit resolves that context first, so automation can begin with the customer rather than a disconnected set of tool responses.
How we build for agents and teams
One resolved customer
Outlit joins product activity, billing, support, email, calls, and CRM records into a customer profile an agent can query without reconciling every source first.
Evidence stays attached
Customer facts link back to their sources. Teams and agents can inspect the email, call, ticket, event, or billing record behind a recommendation before acting on it.
Context leads to action
The same context supports onboarding, retention, expansion, and account planning through the Outlit app, CLI, API, MCP server, and agent skills.
See Outlit work on your customer context.
Outlit Labs Inc. is based in San Francisco. Read the public developer documentation to inspect the API, CLI, MCP, and agent-skill surfaces, or talk with the team about your customer workflow.