Enterpret mcp for Claude, Notion & more
Customer intelligence infrastructure for teams building with Al
Enterpret connects support, sales, and market signals into structured context teams and Al can use to drive retention and revenue
Al accelerated customer analysis.
It's still hard knowing what to fix or build next.
Enterpret maintains the structure, context, and evidence teams need to prioritize what affects churn, expansion, adoption, and roadmap decisions.
From one-off answers to a system your product and CX teams run on
Feedback is organized into themes that evolve with your product so answers don’t change every time
Every answer is tied to who it came from, what part of the product it relates to, and how important it is
Track what changed after every decision from ticket volume to retention so you know what worked
Powered by the infrastructure that keeps every signal connected and measurable
Adaptive Taxonomy
Structure customer signals into shared themes and categories, so every team and AI workflow operates from the same understanding
Context Graph
Connect customer signals to the feature, issue, segment and business outcomes tied to them
Enterpret MCP
Create tickets, alerts, and workflows directly from findings without copying results, rewriting context or follow-ups
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Built for every customer signal
Customer Intelligence
Prioritize what to build based on what drives retention, revenue, and product demand across all customer feedback
Support Intelligence
Resolve what’s driving ticket volume and repeat contacts across all support interactions
Sales Intelligence
Fix what’s blocking revenue and capture product demand from sales conversations and CRM data
Market Intelligence
Win where customer needs and competitors are shifting using external reviews, social, and market signals
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We can literally say: these users have written in more than five times this month, this is a likely churn risk, and that we might lose $500k a month from this.
We can see a direct line from customer problems to how much money is at risk.”
Enterpret connects millions of our feedback records, helping align everyone around the top issues or requests and make it accessible to all our teams."
Frequently Asked Questions
Customer intelligence software helps organizations collect, analyze, and operationalize customer signals across support, sales, product, surveys, reviews, and market conversations.
Traditional customer intelligence platforms often focus on dashboards or AI summaries. Customer intelligence infrastructure goes further by continuously structuring customer signals into shared customer understanding connected to product context, customer segments, business outcomes, workflows, and AI systems over time.
This helps teams prioritize based on business impact instead of signal volume, operationalize customer understanding across workflows, and measure what actually changed after product and business decisions are made.
Enterpret acts as the infrastructure layer behind customer understanding, helping teams move from disconnected customer signals and one-off AI answers to a continuously evolving system of understanding that compounds over time.
AI tools like Claude or ChatGPT can quickly analyze customer signals and generate summaries, answers, and workflows. The challenge is that the underlying understanding often resets with every new prompt, workflow, or analysis.
A customer intelligence platform continuously structures customer signals into shared customer understanding connected to product context, customer segments, business outcomes, and operational workflows over time.
This allows teams and AI systems to:
- Prioritize based on business impact instead of mention volume
- Maintain consistent understanding across workflows
- Operationalize customer understanding into tickets, alerts, prioritization, and AI workflows
- Measure whether launches and decisions actually improved retention, adoption, support burden, and revenue outcomes
Enterpret works alongside AI tools by providing the customer intelligence infrastructure that keeps customer understanding connected, measurable, and continuously evolving.
Enterpret connects support tickets, sales calls, surveys, reviews, social conversations, market research, community discussions, CRM data, and product usage signals into one continuously evolving system of customer understanding.
Teams use Enterpret to:
- Prioritize product decisions based on customer and business impact
- Identify the issues driving churn, poor adoption, and expansion risk
- Understand the customer problems increasing support burden and ticket volume
- Surface sales objections, deal blockers, and product gaps from customer conversations
- Track changing customer expectations, competitor movement, and market trends
- Power AI workflows with shared customer understanding across systems and teams
- Connect customer signals to retention, adoption, expansion, and revenue outcomes
- Measure whether launches, fixes, and product decisions actually worked over tim
Yes. Enterpret integrates with AI tools, collaboration systems, ticketing platforms, CRMs, and internal workflows through native integrations and MCP-compatible workflows.
Teams use Enterpret to:
- Power AI workflows with shared customer understanding
- Create tickets, alerts, and workflows directly from customer insights
- Operationalize prioritization across Jira and Linear
- Bring customer understanding into Slack, Claude, CRMs, and internal systems
- Keep customer, product, and business context connected across workflows
Enterpret preserves customer understanding before and after launches, fixes, and product decisions so teams can measure what actually changed over time.
Teams use Enterpret to quantify:
- Changes in ticket volume after releases and fixes
- Shifts in customer sentiment across segments and product areas
- Improvements in feature adoption, activation, and retention
- Reductions in churn risk and support burden
- Whether the customers reporting an issue stopped reporting it over time
- How product changes impacted expansion, renewals, and revenue-related customer signals
This helps teams validate whether decisions solved the underlying customer problem instead of relying on anecdotal feedback or one-off AI summaries.
Many organizations can connect customer data to AI tools internally. The challenge is maintaining consistent customer understanding over time as products, customer behavior, workflows, and business priorities evolve.
Teams use Enterpret because it continuously structures customer understanding across workflows, systems, and AI interactions instead of relying on disconnected prompts, manually maintained taxonomies, or one-off analyses.
This allows organizations to operationalize customer understanding across prioritization, support operations, churn analysis, and AI workflows without rebuilding the underlying understanding repeatedly.
Enterpret is used by product, customer experience, support, operations, and GTM teams at high-velocity product organizations.
Teams use Enterpret to:
- Prioritize product decisions
- Identify churn risk, expansion opportunities, and deal blockers
- Reduce support burden
- Operationalize customer intelligence
- Power AI workflows
- Connect customer understanding to measurable business outcomes
