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Focus on customers who can be upsold, are at risk, or need immediate attention.
Use signals to prioritize accounts, trigger agents, create tasks, prepare outreach, update records, and run the right workflow automatically.
Capture durable details such as goals, setup, stakeholders, preferences, technical requirements, and renewal risks. Surface them wherever people and agents work.
Bring summaries, activity, tasks, internal notes, open issues, and analytics into one account workspace that updates as the relationship changes.
Ask questions about any account and get answers based on its conversations, calls, support history, CRM data, product usage, and connected systems.
Create structured fields such as sentiment, churn risk, use case, lifecycle stage, or implementation status directly from customer data. Keep them updated without manual CRM work.
Organize feature requests, bugs, and product feedback by customer, account, theme, and revenue. Give product teams the context behind every request.

Account Intelligence is a continuously updated understanding of each customer. It turns raw data from conversations and connected systems into structured context that humans and agents can use.
A CRM stores records that people enter and maintain. Account Intelligence builds and updates itself from customer activity across support, calls, email, product usage, internal conversations, and other connected systems.
It can use support history, CRM records, calls, emails, product usage, customer conversations, internal discussions, tasks, and data from connected systems.
It evaluates current account context and changes over time to surface churn risk, expansion opportunities, renewal status, onboarding blockers, sentiment changes, and other signals your team defines.
Agents use it to understand the customer before investigating or acting. It helps them prioritize work, choose the right workflow, personalize internal recommendations, and route issues with the right context.
New customer activity updates the account automatically. Memories, fields, summaries, and signals change as new conversations, product events, support issues, and account data arrive.
