AI that retains and expands your customers
CRM, calls, support, usage, billing – unified into one living customer picture. Know who needs attention, why, and what to do next.
From scattered signals to
automated action
Customer intelligence
that works for you.
From post-call CRM updates to proactive churn outreach – Coworker handles the work that keeps your customers growing.
Every customer signal, one platform
CRM, call recordings, support tickets, usage data, billing – Coworker connects to every tool in your CS stack and synthesizes the full picture automatically.
100+ OAuth connectors – no engineering required
Built different from legacy
CS platforms
Traditional platforms organize CRM fields into dashboards. Coworker was built from the ground up with AI that reads, understands, and acts on every customer signal.
Every signal, synthesized
Reads Slack threads, call transcripts, support tickets, CRM, usage, and billing — then uses natural language understanding to synthesize it all into one living customer picture.
Days to deploy, zero engineering
OAuth-connect your tools, and Coworker starts building customer intelligence immediately. No field mapping, no consultants, no multi-month implementations.
AI agents that work on your behalf
Agents draft QBR decks, send follow-up emails, post Slack alerts, and update your CRM autonomously — ready for your review before anything goes out.
Ask anything in plain English
Query your entire customer base conversationally. “Show me accounts with declining usage and an upcoming renewal.” No SQL, no filters, no training required.
Fragmented data silos
Imports structured CRM fields but can’t parse Slack conversations, understand call sentiment, or connect signals across tools. Critical context slips through the cracks.
Months of implementation
Requires technical setup, field mapping, custom integrations, and often dedicated implementation consultants. 3–6 months before your team sees value.
Dashboards that display data
Shows charts, scores, and lists — but every follow-up email, CRM update, and status report is still manual work on your plate.
Heavy maintenance, rigid workflows
Requires technical teams to configure health score rules, build reports, and set up workflows. Every change means another request to ops.
Built to be enterprise-ready
Security, privacy, and compliance are not add-ons – they're foundational to every layer of the platform.
FAQ
Frequently asked questions
Coworker includes a customer intelligence AI layer that monitors health scores, flags churn risk, and surfaces upsell signals automatically. It aggregates signals from Salesforce, Gong, Slack, Stripe, and other tools to give customer success teams a 360-degree view of every account in real time.
Coworker monitors engagement patterns, product usage, support ticket trends, communication sentiment, and CRM data across all connected tools. When signals indicate churn risk, it proactively alerts your CS team with context and suggested actions – before the customer has decided to leave.
Coworker integrates with Salesforce, HubSpot, Gong, Slack, Stripe, BigQuery, Snowflake, Jira, Gmail, and 100+ other tools. It unifies signals across your CRM, product analytics, communication, and support systems into a single health view.
Gainsight and ChurnZero are dedicated CS platforms that require significant setup and customization. Coworker connects in hours, not months, and goes beyond dashboards -- it automatically drafts QBR decks, sends renewal follow-ups, and posts churn alerts to Slack, taking action rather than just reporting. See our detailed comparisons: Coworker vs Gainsight (https://coworker.ai/coworker-gainsight) and Coworker vs ChurnZero (https://coworker.ai/coworker-churnzero).
Yes. Coworker can automatically draft QBR presentations, send renewal follow-ups, update health scores in Salesforce, post alerts to Slack, and create escalation tickets – all pending your CS team's approval before execution.
See what happens when AI knows your customers
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