Your voice of customer just got a whole lot easier to access. Enterpret Wisdom is now live on the Claude MCP Connectors Directory. Connect → Query → Get answers instantly. #VoiceOfCustomer #MCP #CustomerFeedback

Cursor ranks #1 for developer control. 👀 Based on real user feedback, @cursor_ai ranks 1st among 5 AI coding agents for letting developers see and approve every change. Just one of the insights we're uncovering with @feedbackbench, built by Enterpret. Explore the findings 👇 feedbackbench.com/coding-age…

Enterpret’s taxonomy adapts to your feedback. Now you can shape it just by asking. Tell Enterpret Agent what should change, review the evidence, and approve. You can even have it read your changelog every week and propose categories for what you shipped. See how it works → enterpret.com/blog/enterpret…

Benchmarks test AI in a lab. Its users test it on real work every day. So we built Feedback Bench by Enterpret, starting with coding agents. It ranks the top 17 by what the people using them say, across 63 criteria, with every number linked to its sources. Personal agents are next. See where yours lands at feedbackbench.com

Your helpdesk counts a closed ticket as resolved. Enterpret now reads the conversation and grades whether the customer was actually helped, for human and AI agents alike, then tells you what to coach and what to fix. See how Support QA works → enterpret.com/blog/enterpret…

Enterpret Agent now remembers how you work: your preferences, your earlier sessions, and what your automations did last week. Every run starts where the last one ended. On by default for every Enterpret customer, starting today. enterpret.com/blog/enterpret…

Introducing automation triggers for Escalation Shield. When Enterpret catches an account about to escalate, it can now start the work inside the tools your team already uses. Here's what's new: 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝘀𝘁𝗮𝗿𝘁𝘀 𝘁𝗵𝗲 𝘄𝗼𝗿𝗸, 𝗻𝗼𝘁 𝗮 𝗦𝗹𝗮𝗰𝗸 𝘁𝗵𝗿𝗲𝗮𝗱. An escalation fires. Enterpret Agent files the Linear or Jira issue, drafts the Zendesk reply, tags the conversation, and pages on-call if you want it to. You set it up once and it runs on every escalation that matches. This means issues can get handled in real-time instead of waiting days or even weeks for action to begin. 𝗘𝘃𝗲𝗿𝘆 𝘁𝗶𝗰𝗸𝗲𝘁 𝗮𝗿𝗿𝗶𝘃𝗲𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗮𝘁𝘁𝗮𝗰𝗵𝗲𝗱. Enterpret is already reading every conversation your customers have, so by the time an escalation fires we know what broke, who else has run into it, and what the account is worth. That goes into the work itself, not a separate summary somewhere. Whoever picks it up next, a person or a coding agent, can start fixing instead of investigating. 𝗘𝘃𝗲𝗿𝘆 𝗿𝘂𝗻 𝗶𝘀 𝗮 𝘀𝗲𝘀𝘀𝗶𝗼𝗻 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗼𝗽𝗲𝗻. See what the agent read and what it did, for every escalation it handled. Catch escalations at the first sign, before they become a problem. Escalation Shield automation triggers are live today. enterpret.com/blog/automated…

Customer intelligence shouldn’t need to wait for someone to ask the right question or check a report. Today we’re launching Agent OS: a way to build powerful workflows and automations that turn customer feedback into action automatically ⚡ With Agent OS, teams can: ➔ Analyze feedback in real time ➔ Create shareable artifacts: reports, docs, dashboards and follow-ups ➔ Trigger automations on a schedule or when signals emerge ➔ Leverage skills, connectors, tools and memory (soon) ➔ Drive action in your other tools via native connectors: Salesforce, Jira, Linear, GitHub, Notion, Canva, Granola, Amplitude, PostHog, Slack Leverage pre-built automation templates such as: self-improving help center docs, account health monitoring for CS teams, support agent coaching notes, automated ticket creation, and more. Our goal is simple: help teams notice critical feedback - and more easily act on it. Available in beta now to all Enterpret customers - reach out if you’d like to learn more! enterpret.com/blog/introduci…

The Enterpret MCP server just shipped a major upgrade. It's now in Codex, plus a wider set of agents. Every answer comes back with a citation and the verbatim customer quote behind it. More queries per session, lower cost. This is customer intelligence built for agents. 🔗enterpret.com/blog/enterpret…

New launches, new bugs, pricing changes, and customer shorthand all create taxonomy drift. Our Adaptive Taxonomy already handles most of that evolution automatically, but human fine tuning and judgment calls are still required in moments of nuance. Today, we're excited to release three new capabilities that make the editing experience faster, safer and easier. What’s new: 1. Chat with your taxonomy: Simply describe a change in plain English or upload supporting context to get proposed changes to approve. 2. Quality checks before commit: Enterpret AI flags duplicates, naming conflicts, semantic overlap, and structural issues before changes go live. 3. Edit any node with guardrails: Rename, merge, split, move, create, delete, or reparent any node directly in the UI, with draft and rollback workflows now available. Our view is simple: a taxonomy that’s easier to refine gets refined more often. And the more consistently your taxonomy improves, the sharper every downstream insight becomes. Learn more: enterpret.com/blog/new-in-ad…

"Am I actually getting value out of this?" Every customer intelligence buyer eventually asks it. So we wrote down the answer — the workflows real teams run on Enterpret, by role. ⬇️enterpret.com/use-cases

Your CRM says you lost deals to "no budget" and "went dark." Your CPO asks which product gaps are costing you revenue. Everyone says something different. Nothing changes by next quarter. We built Sales Intelligence to fix that. It connects to your CRM and call data, and surfaces patterns you previously missed: true win/loss reasons, competitor presence, product gaps blocking pipeline, value props driving conversion. Ask anything and get real-time, cited answers, available via Slack, Claude, or any AI tool. This is for all the teams who want to fix what's broken: not just Sales, but also Product, RevOps, PMM and beyond. Learn more: enterpret.com/blog/introduci…

Most VoC dashboards get opened once a quarter, nodded at, and forgotten. The problem isn't the data. It's that they're built to display information, not answer questions. What a VoC dashboard should actually show (and why most fail): 👇 enterpret.com/blog/what-is-a…

Today, we're launching Enterpret, Everywhere - to bring customer intelligence directly to you within @SlackHQ and your favorite AI tools like @claudeai, @NotionHQ, @glean and more🌐 What's new: • Ask @ Enterpret in Slack in any channel or DM to get cited answers from your full feedback corpus, right in the thread • New native MCP integrations — install Enterpret in Claude, Notion, and Glean via their marketplaces • And more MCP integrations coming soon — @cursor_ai , @ChatGPTapp , @LibreChatAI , and @n8n_io Now, teams can ask questions where they already work, and get instant, grounded answers pulled from support tickets, NPS, app reviews, Gong calls, CRM, and more. No extra tools. No workflow detour. No excuses to miss the voice of your customers. Just fast, transparent answers powered by your Customer Context Graph. Read more: enterpret.com/blog/enterpret… #CustomerIntelligence #VoiceOfCustomer #Slack #Claude #Notion #Glean #AI #CustomerFeedback

Enterpret now supports @YouTube comments! 📺 Every launch video, tutorial, and walkthrough generates feedback. Most teams never capture it. Now you can, with our new integration. Enterpret ingests comments and replies from your public YouTube videos, continuously syncs new comments as they come in, filters spam before analysis, and supports YouTube Shorts. Find structured insight from one of the richest channels most teams overlook, now connected with the rest of your customer signals.

Most teams think they have a feedback taxonomy because they have tags. Tags ≠ taxonomy. Here's the difference — and why it changes everything about how your team analyzes feedback: enterpret.com/blog/what-is-a…