Outlit

Description

Outlit acts as the central customer context layer for AI agents, transforming disparate customer data from across your existing tools into a single, unified record. This consolidated view serves as a single source of truth for humans, automations, and AI agents, enabling them to operate with a complete understanding of each customer.

By integrating with the tools your team already uses, Outlit delivers consistent customer context to platforms like Claude, ChatGPT, Slack, Codex, and Cursor, among others. This means every interaction, whether with a human team member or an AI agent, is informed by the same up-to-date customer profile. The system continuously pulls data from every connected system, resolving customer identity across them using emails, domains, user IDs, and metadata. This automatic resolution ensures that a Stripe transaction, a Slack conversation, and a PostHog session are all accurately attributed to the same customer record.

Outlit's capabilities extend to generating actionable insights and triggering automated responses. It can identify critical signals such as usage drops, missed QBRs, or champion silence, and then initiate specific actions. For instance, it can set up Slack alerts for churn risks, draft re-engagement emails, or open expansion deals based on predefined triggers. The platform connects to a wide array of systems, including CRM, billing, communication, and support tools, without requiring users to build or maintain complex data pipelines. Outlit handles the synchronization, identity resolution, and data normalization, offering a single API for querying this unified customer data.

The value proposition of Outlit lies in its ability to provide a 360-degree view of the customer, accessible to all parts of your organization and AI infrastructure. This comprehensive context empowers teams to proactively manage churn, identify expansion opportunities, and improve overall customer engagement. Outlit is designed as infrastructure, not a replacement for existing CRMs, but rather a layer that enhances their effectiveness by making customer data more accessible and actionable for AI agents and workflows.

Outlit's Core Features

• Unified customer profile across all tools

• Real-time data synchronization from multiple sources

• Automated identity resolution for customers

• Contextual data delivery to AI agents and teams

• Signal detection for churn and expansion opportunities

• Automated trigger-based actions and alerts

• No ETL or pipeline maintenance required

• Secure data handling with SOC 2 and ISO 27001 certifications

• API for querying unified customer data

• Integration with popular AI tools and communication platforms

• Customizable dashboards and alerts

How to use Outlit?

1. 1

   Connect Sources: Integrate your existing tools like CRM, billing, and communication platforms.

2. 2

   Configure Identity Resolution: Define how Outlit should match customer identities across systems.

3. 3

   Deploy Agents: Grant your AI agents access to the unified customer context layer.

4. 4

   Monitor Signals: Set up alerts for key customer events and behavioral changes.

5. 5

   Automate Actions: Configure automated workflows triggered by specific customer signals.

6. 6

   Query Data: Utilize the Outlit API to retrieve comprehensive customer profiles.

Outlit's Use Cases

• AI Agent Context
• Churn Prevention
• Expansion Opportunities
• Customer Support Enhancement
• Sales Intelligence
• Automated Workflows

FAQ from Outlit

• What is Outlit and what does it do for AI agents?

  Outlit is the customer context layer for AI agents. It connects to your tools, resolves customer identity across them, structures data into clean profiles, and provides a single API to query it, giving agents a complete customer picture.

• How does Outlit consolidate customer data?

  Outlit continuously pulls data from every system you connect, resolves customer identity using emails, domains, user IDs, and metadata, and structures everything into a unified customer profile.

• What tools can Outlit integrate with?

  Outlit works with many tools your team already uses, including Claude, ChatGPT, Slack, Codex, Cursor, Stripe, HubSpot, PostHog, Gmail, Fireflies.ai, and more.

• Does Outlit replace my CRM?

  No, Outlit is infrastructure that sits under your tools. It connects everything and makes data queryable for agents and workflows, enhancing your existing CRM rather than replacing it.

• How long does it take to set up Outlit?

  Setup takes minutes. You can run an installation script, connect your sources, and Outlit immediately starts syncing and structuring data.

• How does Outlit handle data security?

  Outlit is SOC 2 Type I, SOC 2 Type II, and ISO 27001 certified. Your data is encrypted at rest and in transit and is never used to train models.

• Do I need to build data pipelines for Outlit?

  No, Outlit handles sync, identity resolution, and data normalization out of the box. You connect your tools and query the API without needing ETL or glue code.

• How does Outlit resolve customer identity across different systems?

  Outlit matches customers across sources using common identifiers like emails, domains, user IDs, and metadata, automatically linking their activities and information.

• What kind of signals can Outlit detect?

  Outlit can detect signals such as usage drops, missed QBRs, champion silence, P1 support tickets, deal stalling, and buying intent, among others.

• Can Outlit trigger automated actions based on customer signals?

  Yes, Outlit can fire triggers the moment a condition is met, initiating actions like sending alerts, drafting emails, or opening expansion deals.