Planhat is customer success software and a CRM for sales, customer success and professional services teams, with the Pi AI agent, sold by quote.
Planhat keeps every record a commercial team holds about a customer in one data model, from the first deal to the latest renewal. Sales, customer success and professional services work from the same company profiles rather than from separate systems. Planhat Inc, which started in Stockholm, builds and sells it. Its AI agent, Pi, works beside people on that shared customer context. Each company gets a Full-Page Profile showing usage data, meetings, emails, tickets, contracts and Workflow progress. Health Scores combine several factors through rule-based Health Profiles, while Success Units each track a single factor. Signals read conversations and flag churn risks, escalations and expansion openings. Workflows set out the steps toward each customer objective, and Automations fire on changes in any record, including a falling Health Score. Portals give customers a shared space to follow and complete those steps, and the Revenue pages report ARR, MRR, net revenue retention and churn. Planhat fits B2B companies with recurring revenue, where customer success managers own a book of accounts and answer for renewals. Sales teams can run on it as a CRM, with Pipeline Management, Lead Routing, Email Sequencing and Deal Rooms. Professional services teams get project management for onboarding and delivery work. Each kind of team is packaged separately, and buyers start with a conversation with Planhat's sales team. Customers include service-intensive software, security and IT services firms. Customer success managers prepare renewals from a pipeline built on Deals and Line Items that sync with Salesforce or HubSpot. Product usage arrives on each account from BigQuery, Snowflake or Segment, so adoption trends sit beside revenue on the profile. Gmail, Outlook and Google Calendar sync log emails and meetings to the account. Through the MCP Server, AI assistants such as Claude Code read live Planhat data and create tasks or update records within set permissions. Account reviews, NPS follow-ups and success plans then run from the same company record.
Features
- Included: Customer 360 account view
- Included: Configurable health scores
- Included: Churn risk prediction
- Included: Renewal and expansion tracking
- Included: Automated playbooks
- Included: Product usage data ingestion
- Included: Lifecycle stages and segments
- Included: CSM task and alert queue
- Included: Customer success plans
- Included: In-app NPS and CSAT collection
- Included: Shared customer hub
- Included: CRM two-way sync for accounts
- Not included: Billing and subscription data sync
- Included: Support ticket signals in health
- Included: Portfolio and renewal forecast dashboards
- Included: Email and calendar logging
- Included: AI account summaries
- Included: Data warehouse connector
Additional Features
- Pi multiplayer customer agent
- Full-Page Profiles for every company
- Health Profiles and Success Units
- Signals from emails, calls, tickets and chats
- Workflows with owner-assigned steps
- Automations triggered by any data model
- Lifecycle Phase field
- Portals embeddable in your own app
Best for
- Customer success teams that own a book of B2B accounts
- Recurring-revenue companies tracking renewals, churn and net revenue retention
- Sales and account management teams that want CRM and post-sale data in one system
- Professional services teams running onboarding and delivery projects
- Service-intensive software, security and IT services companies
- Companies buying through a sales-led process
- Teams that keep product usage data in BigQuery, Snowflake or Segment
- Teams that want AI assistants to read and act on live customer data
Use cases
- scoring account health from usage, support and revenue factors
- spotting churn risk and expansion openings in customer conversations
- running a multi-stage renewals pipeline
- reporting on ARR, MRR, churn and net revenue retention
- onboarding customers through shared Portal workflows
- running NPS surveys inside a product
- syncing deals and line items with Salesforce or HubSpot
- bringing product usage data in from a data warehouse
- generating an AI summary of an account before a review
- routing and scoring leads in a sales pipeline
- logging customer emails and meetings to the account
- planning customer objectives with milestones and owners
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