Enterpret

data

Enterpret builds a knowledge graph out of everything customers say — support tickets, sales calls, app reviews, NPS responses, Slack threads — and normally getting an answer out of it means someone who knows the query language. Connected to Neotask, you can just ask the question in plain language: what are customers saying about a feature, where's churn risk showing up, has sentiment shifted since a release. The agent queries Enterpret's graph directly and comes back with the answer traced to the original conversations, with links, so nothing is a paraphrase you have to trust blind.

• Answers plain-language questions across tickets, calls, reviews, NPS, and Slack in one place
• Every insight links back to the original customer conversation, no query language needed
• Good for surfacing sentiment or churn signals without a dedicated analyst

What you can automate

Enterpret

Query an Enterpret knowledge graph across support tickets, sales calls, app reviews, NPS surveys, and Slack using plain-language questions. Get insights traced back to the original customer conversations with direct links, no query language needed.

Real workflows

Surface customer feedback on a specific feature

Ask what customers have been saying about a feature or issue; the agent queries Enterpret's knowledge graph across every connected source and returns findings with links to the original conversations.

Frequently asked questions

Do I need to know a query syntax to use this?

No — the whole point of the connection is asking in plain language and letting Enterpret's graph do the retrieval.

Can I trust the summarized insight, or do I need the source?

Every insight comes with direct links back to the original ticket, call, review, or message, so you can verify it yourself whenever you want.