Last updated 07-26-2026
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Enterpret
Enterpret is a customer intelligence platform that helps product, support, sales, and marketing teams unify and analyze customer feedback from multiple sources. It continuously structures feedback into a shared understanding connected to product context, customer segments, and business outcomes. This allows teams to prioritize what to fix, build, or ignore based on real impact rather than volume or anecdotal evidence. Enterpret integrates with AI tools like Claude and ChatGPT, collaboration platforms, ticketing systems, and CRMs to power workflows and automate actions. Its adaptive taxonomy evolves with customer language and product changes, while the customer context graph links feedback to features, segments, and revenue impact. The platform also measures the effect of product decisions over time by tracking changes in retention, support tickets, and adoption. Leading companies such as Canva, Notion, Apollo.io, and Descript use Enterpret to scale customer insights, reduce support burden, and accelerate decision-making. New features include Agent OS, which enables proactive AI workflows that perform tasks without manual triggers, enhancing operational efficiency. Enterpret is designed for high-velocity product organizations seeking to operationalize customer intelligence across teams and systems.
📊 Adaptive Taxonomy that evolves with your product and customer language for consistent feedback classification
🔗 Customer Context Graph linking feedback to features, segments, and business outcomes for deeper insights
🤖 Agent OS enabling AI workflows that proactively perform tasks without manual input
⚙️ Native integrations with AI tools, ticketing systems, CRMs, and collaboration platforms to automate actions
📈 Impact measurement tracking changes in retention, support tickets, and adoption after product decisions
Continuously structures customer feedback into actionable insights linked to business outcomes
Integrates natively with AI tools, collaboration, ticketing, and CRM platforms for seamless workflows
Adaptive taxonomy evolves with product and customer language for consistent analysis
Agent OS enables proactive AI workflows that reduce manual work
Measures impact of product decisions to validate improvements over time
Pricing details for enterprise plans require contacting sales
May require onboarding to fully leverage advanced AI workflow features
How does Enterpret help product teams prioritize what to build or fix?
Enterpret analyzes customer feedback across multiple channels and connects issues to business impact like churn and revenue, helping product teams focus on high-impact problems with evidence-backed insights.
What types of customer signals can Enterpret unify and analyze?
Enterpret supports support tickets, sales calls, surveys, reviews, social media, market research, CRM data, and product usage signals to create a comprehensive view of customer feedback.
Can Enterpret integrate with AI tools like Claude and ChatGPT?
Yes, Enterpret integrates with AI tools, collaboration platforms, ticketing systems, and CRMs to power AI workflows and automate actions based on shared customer understanding.
What is Agent OS and how does it enhance Enterpret?
Agent OS is a new feature that enables AI workflows to proactively identify important customer insights and perform tasks automatically without needing manual triggers, improving operational efficiency.
How does Enterpret measure the impact of product decisions?
Enterpret tracks changes in ticket volume, customer sentiment, feature adoption, retention, and revenue signals before and after product changes to validate if decisions solved customer problems.
Who typically uses Enterpret within organizations?
Enterpret is used by product managers, customer experience teams, support operations, sales, and go-to-market teams in fast-moving product companies.
Why choose Enterpret over building internal AI workflows?
Enterpret maintains consistent customer understanding over time across evolving products and workflows, avoiding the need to rebuild taxonomies or analyses repeatedly, unlike many internal AI solutions.