--- title: "Rippit vs. Zendesk for Conversation Analysis and Agents (2026): Differences, Pricing, and When to Use Both" description: "Rippit vs. Zendesk: Zendesk runs your helpdesk; Rippit's AI analyzes every conversation in it. Compare QA, analytics, pricing and when to use both." canonical: https://www.rippit.com/comparisons/rippit-vs-zendesk type: Comparison datePublished: 2026-09-28 dateModified: 2026-11-13 --- # Rippit vs. Zendesk for Conversation Analysis and Agents (2026): Differences, Pricing, and When to Use Both **Short answer:** Zendesk is the helpdesk where support conversations happen. Rippit is a Growth Data Platform. It reads every conversation in the sources you connect, from Zendesk tickets to calls and chats, turns what it finds into structured data[[2]](#src-2) and keeps it current next to account, billing and product data, so support and CS can see what each ticket driver costs.[[1]](#src-1) Rippit connects to Zendesk with a pre-built integration,[[3]](#src-3) brings your tickets, calls and business data into one place,[[3]](#src-3)[[4]](#src-4) and lets anyone ask any question across all of it.[[5]](#src-5) The overlap is Zendesk QA,[[6]](#src-6) a paid add-on[[7]](#src-7) built on Klaus, which Zendesk acquired in 2024.[[8]](#src-8) Rippit starts free with $10 in credits.[[5]](#src-5) By Lauren Alexander · Updated November 13, 2026 ## Rippit vs. Zendesk at a glance | CRITERIA | Zendesk | Rippit | | --- | --- | --- | | What is it? | Customer service platform: helpdesk, AI agents and Copilot, with QA and analytics[[9]](#src-9) | Growth Data Platform: your support conversations and the account, billing and product data around them, with agents your teams set up[[1]](#src-1) | | Built for | Running support. Zendesk QA was added through the 2024 Klaus acquisition[[8]](#src-8) and is sold as an add-on[[7]](#src-7) | Finding why customers contact you and what it costs, from the ground up. Rebuilt as an AI-first platform[[10]](#src-10) | | Starting point | Receiving, routing and resolving customer requests | The conversations you already have: tickets, calls and chats,[[3]](#src-3) plus the survey data tied to them, next to account, billing and product usage data | | Best fit | Teams that want helpdesk, AI agents and agent tooling in one suite | CX and support leaders who need to know *why* customers contact them, and CS leaders who need to know which accounts and renewals it puts at risk | | Works with Zendesk | Native | Connect Zendesk with a pre-built integration.[[3]](#src-3) Zendesk stays your helpdesk | | Flexibility | AutoQA scores tickets on 8 system categories (Greeting, Empathy, Tone, Solution Offered and more), plus custom categories.[[11]](#src-11) Up to 500 custom triage topics[[12]](#src-12) | Ask any question in plain English. Rippit adds the answer as a field across every conversation, including past ones[[13]](#src-13) | | Ad hoc research and deep dives | AI Quick Reports answer plain-language questions on helpdesk data (Suite Professional and up).[[9]](#src-9) Analyst Copilot in early access[[14]](#src-14) | Open to everyone on your team, with no per-seat cost.[[5]](#src-5) Ask, follow up, filter to any segment and keep drilling on the same data[[13]](#src-13) | | Data in one place | Zendesk data, plus Zendesk QA connectors for some other helpdesks (e.g., Front,[[15]](#src-15) Gorgias[[16]](#src-16)) | Zendesk tickets alongside Gong calls, Salesforce and Snowflake data[[3]](#src-3) and anything in your data warehouse[[4]](#src-4) | | QA scoring | Zendesk QA add-on[[7]](#src-7) with AutoQA categories[[11]](#src-11) | Any field Rippit adds, such as resolution, sentiment or root cause, feeds QA and coaching across every conversation in scope | | How teams use the data | Route and automate tickets, score agents, report on volume and agent performance | Describe the insight you want, and Rippit adds it as a field across every conversation (root cause, churn risk, resolution).[[13]](#src-13) Reuse it in dashboards and follow-up questions, and set up agents that send findings to the owner | | What gets scanned, analyzed and acted on | Intelligent triage tags each new ticket.[[17]](#src-17) AutoQA evaluates new conversations once solved or closed. Historical data is not evaluated[[18]](#src-18) | 100% of conversations in scope, with nothing sampled[[5]](#src-5)[[1]](#src-1) | | How it handles large datasets | Stores every ticket as a helpdesk record. Explore reports on metrics and attributes across Zendesk products, with prebuilt dashboards and, depending on plan, custom reports[[19]](#src-19) | Stores every conversation you connect as structured, queryable data[[2]](#src-2) that agents and people can enrich and aggregate across the full dataset | | Traceability | Each ticket is its own helpdesk record. Explore drill in breaks a result down by extra attributes, such as ticket status (Suite Professional and up)[[20]](#src-20) | Every result is a field on a specific conversation,[[2]](#src-2) and each analysis step is documented, so any answer can be audited | | Repeatability | Intelligent triage runs on each new ticket[[17]](#src-17) and AutoQA on each solved one.[[18]](#src-18) Explore reports can be shared on a recurring basis[[19]](#src-19) | Agents you set up run hourly, daily, weekly or monthly on new conversations and send findings, with the evidence, to Slack or email[[33]](#src-33) | | Customer satisfaction | Built-in CSAT surveys on solved tickets (plan-dependent)[[21]](#src-21) | Uses survey scores where they exist and predicts CSAT for conversations that never got a survey[[22]](#src-22) | | Setup | Zendesk QA is bought from the Subscription page (self-service accounts) or through Zendesk Sales[[7]](#src-7) | Self-serve. Connect Zendesk, Intercom, Granola, Gong and more with pre-built integrations,[[3]](#src-3) without needing an engineer to start | | Works with Claude | MCP Server announced May 2026 (early access at launch).[[23]](#src-23) MCP client in early access.[[24]](#src-24) Community-built MCP servers exist[[25]](#src-25) | Rippit's MCP server lets Claude, ChatGPT or Cursor query your Rippit data and open the conversations behind an answer[[26]](#src-26) | | Public pricing | Suite Team $55 and Suite Professional $115 per agent/mo (annual); Copilot add-on $50/agent/mo;[[9]](#src-9) WEM bundle (QA + WFM) $50/agent/mo;[[7]](#src-7) Zendesk QA standalone: see Zendesk for current availability | $10 in free credits to start, no card needed; then pay as you go: $1/GB a month for storage with compute included, AI models at list price, people and agents free; Enterprise by quote[[5]](#src-5) | | Best starting question | "How fast are we resolving tickets, and how are agents scoring?" | "Why did cancellations spike last month, and what did those customers have in common?" | Pricing checked November 13, 2026. **01 · THE DIFFERENCE** ## What's the difference between Rippit and Zendesk? Zendesk runs your support operation. Rippit explains what that operation produces: why customers contact you, and what it costs the business. Zendesk is a customer service platform: ticketing, messaging, voice, AI agents and agent Copilot, with reporting built in.[[9]](#src-9) It added AI quality assurance by acquiring Klaus in 2024, and that product is now Zendesk QA,[[8]](#src-8) sold as an add-on.[[7]](#src-7) It is the system of record where tickets are created, routed and solved. Rippit is a Growth Data Platform.[[1]](#src-1) It was rebuilt AI-first.[[10]](#src-10) It connects to Zendesk, reads every conversation in full,[[1]](#src-1) and turns what it finds (intent, root cause, sentiment, churn signal, resolution) into fields you can filter, trend and build on.[[13]](#src-13) It brings in the account, billing and product data around those tickets too, so a root cause comes with the accounts it touches, their renewal dates and what they pay. Teams set up agents on that foundation to flag what changed and send the evidence to the right owner.[[33]](#src-33) Because analysis is the whole product, you're not limited to preset categories or reports. You ask the question. Take a customer who gets conflicting refund answers, is transferred twice and cancels. Zendesk records the ticket and the reopen. Rippit names the policy behind the confusion, counts how often it happens, shows whether it is getting worse, and lists the accounts it has touched with their renewal dates. **ONE CUSTOMER** **Conflicting refund answers** **Transferred twice** **Cancels** **ZENDESK RECORDS** The ticket · The reopen **RIPPIT** - Names the policy behind the confusion - Counts how often it happens - Shows whether it's getting worse **02 · FLEXIBILITY** ## How flexible is Rippit compared with Zendesk QA? Rippit lets you ask any question of your data. Zendesk QA scores conversations against categories. AutoQA grades tickets on 8 system categories, such as Greeting, Empathy, Tone and Solution Offered, plus custom categories you add.[[11]](#src-11) It evaluates tickets once they're solved or closed, and Zendesk states that historical data is not evaluated.[[18]](#src-18) That's a strong fit for scoring agents on a fixed rubric. In Rippit, you describe what you want to know in plain English, such as "customers who were promised a callback that never happened." Rippit adds it as a field across every conversation, including past ones, in a single run.[[13]](#src-13) Fields combine, so you can cross that answer with root cause, product area, sentiment or churn risk, and keep going. QA is one thing you can do with those fields, not the limit of what you can ask. **ZENDESK QA · AUTOQA** Solved or closed tickets **8 system categories, such as** Greeting · Empathy · Tone · Solution Offered · + custom categories **RIPPIT · ASK IN PLAIN ENGLISH** Every conversation, including past ones **"Find customers who were promised a callback that never happened"** **NEW FIELD** **Added across every conversation in a single run** Cross it with Root cause · Product area · Sentiment · Churn risk **03 · DEEP DIVES** ## Can you run ad hoc research and deep dives in Rippit? Yes. Anyone on your team can ask, with no per-seat cost, so anyone can ask questions across their conversation data as they come up.[[5]](#src-5) Ask a question, get the answer from every conversation, then ask the follow-up on the same data: narrow to a segment, add a new field, compare this quarter with last.[[13]](#src-13) That's how teams run deep dives on the fly. When Checkr's CEO asked a late-night question about background check issues in a specific state, the team delivered a detailed report by the next morning.[[22]](#src-22) Klaviyo analyzed a full month of product-launch conversations in two hours.[[27]](#src-27) Zendesk offers AI Quick Reports on Suite Professional and up, which answer plain-language questions about helpdesk data,[[9]](#src-9) and has put Analyst Copilot and Agentic Analytics in early access.[[14]](#src-14) Those work on what happened in the helpdesk. Rippit works on what customers said, across every source you connect. **ONE THREAD, SAME DATA** No per-seat cost 1. Ask a question, get the answer from every conversation 2. Narrow to a segment 3. Add a new field 4. Compare this quarter with last - CHECKR **By next morning** a detailed report on a late-night CEO question - KLAVIYO **Two hours** to analyze a full month of product-launch conversations **04 · SCALE** ## How does Rippit analyze every conversation? Rippit reads every conversation you connect, not a QA sample.[[1]](#src-1) Rippit runs an AI engine built to label conversations in bulk[[1]](#src-1) and stores the results as structured, queryable data.[[2]](#src-2) In Rippit's own coverage benchmark, it read all 1,000 transcripts in full for about six cents, versus about $61 per question with a map-reduce approach.[[32]](#src-32) Questions then run on the stored fields, so asking again returns the same answer.[[32]](#src-32) For open-ended questions no field answers yet, ad hoc worksheet analysis[[2]](#src-2) runs on up to 10,000 conversations at a time, and what it finds can feed new analysis and agents. That changes three things: **1,000 conversations or 1,000,000. Rippit reads every one you connect.** **Counts are complete** "What share of billing tickets went unresolved?" is computed across every billing ticket in scope, not a sample.[[5]](#src-5) **New questions reach the past** Describe a new field in plain English, and Rippit applies it to past conversations in a single run.[[13]](#src-13) **Every number is checkable** Each result is a field on a specific conversation, so you can open the conversations behind any count.[[2]](#src-2) Zendesk QA also scores every interaction.[[6]](#src-6) Klaus built its name on automating QA across 100% of support interactions, compared with the roughly 5% most manual QA programs reach.[[8]](#src-8) Zendesk has also announced Quality Score, coming to early access, to analyze 100% of AI and human interactions.[[14]](#src-14) The difference is what gets analyzed and when. AutoQA scores new, solved conversations against QA categories.[[11]](#src-11)[[18]](#src-18) Rippit's fields can capture any question, not only QA criteria, across past and present conversations. Before Rippit, Klaviyo reviewed fewer than 2% of its 600,000+ annual support incidents. With Rippit, it opened up 2.5 million conversations that had never been analyzed.[[27]](#src-27) **WHAT GETS ANALYZED, AND WHEN** | | AUTOQA | RIPPIT | | --- | --- | --- | | What | QA categories | Any question, not only QA criteria | | When | New, solved conversations | Past and present conversations | **KLAVIYO** - BEFORE RIPPIT **<2%** of 600,000+ annual support incidents reviewed - WITH RIPPIT **2.5M** conversations opened up that had never been analyzed **05 · USE BOTH** ## Can you use Rippit and Zendesk together? Yes. Rippit connects to Zendesk with a pre-built integration,[[3]](#src-3) so Zendesk stays your helpdesk and Rippit becomes the data platform on top. Your agents' workflow doesn't change. Zendesk is the most common helpdesk Rippit sees. In Rippit's review of 2,345 of its own sales conversations from 2025–2026, a third of prospects (784) mentioned Zendesk.[[28]](#src-28) Of those, 40% (310) had used or evaluated Zendesk's own QA or AI tools; most of the rest used Zendesk as their helpdesk and wanted deeper analysis on top of it.[[28]](#src-28) Using both closes three gaps: - **Your data lives in more than one place.** Rippit reads Zendesk tickets next to Gong calls, Salesforce and Snowflake data[[3]](#src-3) and anything in your warehouse,[[4]](#src-4) so every question runs across the full picture. Checkr joined Rippit's conversation analysis with Snowflake operational data to find churn signals.[[22]](#src-22) - **Most customers never answer a CSAT survey.** At Checkr, surveys covered fewer than 10% of interactions. Rippit's predictive CSAT now covers all of them.[[22]](#src-22) - **New questions shouldn't wait for new tags or reports.** Rippit does the mass-scale enrichment: it analyzes every conversation in scope[[1]](#src-1) and stores each judgment as a field, including past ones.[[13]](#src-13) Here's what that looks like for one question a CX leader and a CS leader share: *which ticket drivers this quarter came from accounts renewing in the next 90 days, and how much ARR is exposed?* Zendesk keeps running the queue. Rippit has already tagged each ticket with its root cause and product area[[13]](#src-13), and with Salesforce connected it adds each account's renewal date and ARR[[3]](#src-3), so the drivers rank by the revenue behind them rather than by ticket count. If a driver isn't a field yet, worksheet analysis on up to 10,000 of those tickets answers the question now,[[2]](#src-2) and adding it as a field applies it to past tickets in one run.[[13]](#src-13) Save the question as an agent, and each week it checks new tickets and sends the drivers that grew, with the tickets behind them, to support, product and the account owner in Slack or email.[[33]](#src-33) **YOUR SOURCES** Zendesk tickets · Gong calls · Salesforce · Snowflake · Data warehouse **IN RIPPIT** **The data platform on top. Zendesk stays your helpdesk** **ONE PLACE** **Every question runs across the full picture** **RIPPIT SALES CONVERSATIONS, 2025–2026** - **1 in 3** prospects mentioned Zendesk (784 of 2,345) - **40%** of those (310) had used or evaluated Zendesk's own QA or AI tools **06 · ANALYTICS** ## How is Rippit different from Zendesk analytics and intelligent triage? Zendesk's analytics report on what happened in the helpdesk. Explore offers prebuilt dashboards on every plan and custom reports depending on plan.[[19]](#src-19) Intelligent triage tags each new ticket by topic, sentiment and language so it routes correctly,[[17]](#src-17) with up to 500 custom topics that classify incoming requests from the moment you turn them on.[[12]](#src-12) Using triage in workflows requires the Copilot add-on.[[17]](#src-17) Rippit answers a different question: *why*. One AI pass classifies each conversation with the fields you define, such as intent, root cause, sentiment, urgency, churn signal and resolution. A new category applies to past conversations in one run,[[13]](#src-13) so you can compare this quarter with last before anyone planned to track it. **ZENDESK · WHAT HAPPENED** **Each new ticket, tagged so it routes correctly** Topic · Sentiment · Language From the moment you turn them on **RIPPIT · WHY** **One AI pass, every field you define** Intent · Root cause · Sentiment · Urgency · Churn signal · Resolution A new category applies to past conversations in one run **07 · AI ASSISTANTS** ## Do Zendesk and Rippit have an MCP server? Yes. Rippit supports MCP, so Claude, ChatGPT or Cursor can query your Rippit data directly.[[26]](#src-26) You ask in Claude, and Rippit runs the analysis across every conversation you've connected.[[29]](#src-29) This matters at scale. An assistant can work through large sets of tickets with retrieval and connected tools,[[30]](#src-30) but each analysis starts from what it loads in that session. Rippit has already read every conversation you connect and saved the results as fields, so Claude starts from them and every number traces back to specific conversations. Zendesk announced its own MCP Server at Relate in May 2026 to connect Zendesk tickets and knowledge to external AI systems,[[23]](#src-23) and its MCP client is in early access.[[24]](#src-24) The two work at different layers: Zendesk's server exposes helpdesk records, while Rippit exposes analysis already run across every conversation. **08 · PRICING** ## How much do Rippit and Zendesk cost? Rippit publishes its pricing. AI models and data tools are billed at each provider's list price, with no markup.[[5]](#src-5) - **Free to start:** $10 in credits, no card needed, plus $90 more when you add a card[[5]](#src-5) - **Storage:** $1 per GB a month, with the compute to sync, run jobs and query included[[5]](#src-5) - **AI models and data tools:** each provider's list price, no markup[[5]](#src-5) - **People and agents:** free[[5]](#src-5) - **Enterprise:** a personalized quote, with SSO, SCIM, audit logs, data region choice and custom terms[[5]](#src-5) Zendesk prices per agent. Support Team starts at $19/agent/month, Suite Team is $55/agent/month and Suite Professional is $115/agent/month, billed annually.[[9]](#src-9) Copilot is a $50/agent/month add-on,[[9]](#src-9) and the Workforce Engagement bundle, which covers QA and workforce management, is $50/agent/month.[[7]](#src-7) Add-ons are bought for all agents on the account.[[7]](#src-7) Zendesk cost grows with headcount, and Rippit cost grows with the data you store and the AI you run. To compare fairly, price the QA or WEM add-on for your full agent count against Rippit's storage plus AI usage for your conversation volume. **WHAT DRIVES THE COST** **ZENDESK** **Grows with headcount** Priced per agent. Add-ons bought for all agents on the account **RIPPIT** **Grows with data stored and AI use** Storage · AI usage Priced on storage ($1/GB a month, compute included) plus AI models at list price. People and agents free **09 · CUSTOMERS** ## What do teams use Rippit for? - **Checkr** broke dissatisfaction down into specific "atomic problems." One billing cluster showed 47% predicted CSAT and a 58% unresolved rate, which the team took to its Chief Product Officer. Checkr says its time from insight to action went "from weeks to hours."[[22]](#src-22) - **Brex** replaced manual QA sampling with AI review of 100% of conversations and found churn risk in 3% of them. It uses custom AI classifiers for onboarding friction, product gaps and competitor mentions.[[31]](#src-31) - **Klaviyo** analyzed a full month of product-launch conversations in two hours, monitors chatbot performance, and reports a productivity gain of about 40% in under 12 months.[[27]](#src-27) ## When should you choose Zendesk, Rippit, or both? **CHOOSE** ### Zendesk You need a helpdesk, AI agents and agent tooling, or you want QA scorecards and coaching inside the same suite your agents work in. **CHOOSE** ### Rippit You need to know why customers contact you and what it costs: root causes counted across every ticket, call and chat you connect, tied to the accounts, renewals and product areas behind them. You also want support, product and CS to set up their own questions and agents without waiting on a new report. **CHOOSE** ### Both You run support on Zendesk and want every ticket, plus calls and account and billing data, analyzed in one place, with answers to whatever you need to ask next. ## Frequently asked questions ### Is Rippit a Zendesk alternative? Not for ticketing. Rippit doesn't replace your helpdesk.[[3]](#src-3) For understanding why customers contact you, ad hoc research and AI-driven QA insight, it's an alternative or complement to Zendesk QA and Explore, and it ties those answers to the accounts, renewals and revenue they affect.[[1]](#src-1) ### Is Zendesk QA built into Zendesk? Zendesk QA is an add-on, bought separately from Zendesk's core plans.[[7]](#src-7) It's based on Klaus, which Zendesk acquired in 2024.[[8]](#src-8) ### Can I ask Rippit my own questions? Yes. Anyone on your team can ask, with no per-seat cost,[[5]](#src-5) and any question you describe in plain English can become a field across every conversation, including past ones.[[13]](#src-13) ### Does Rippit integrate with Zendesk? Yes. Rippit connects to Zendesk with a pre-built integration,[[3]](#src-3) self-serve, without needing an engineer to start.[[1]](#src-1) ### Does Rippit analyze 100% of Zendesk tickets? Yes, every conversation in the scope you choose, including historical tickets,[[13]](#src-13) with nothing sampled.[[1]](#src-1) ### Is Rippit cheaper than Zendesk QA? Rippit is free to start, with $10 in credits and no card needed, then pay as you go: $1 per GB a month for storage, and AI models at list price.[[5]](#src-5) Zendesk QA is an add-on[[7]](#src-7) priced per agent,[[9]](#src-9) so compare against your full agent count. ### Can Rippit combine Zendesk with other data? Yes. Rippit combines Zendesk tickets with sources like Gong, Salesforce and Snowflake[[3]](#src-3) and can ingest data from your warehouse, so everything sits in one place.[[4]](#src-4) ### Does Rippit work with Claude? Yes. Rippit supports MCP, so Claude, ChatGPT or Cursor can query your Rippit data directly.[[26]](#src-26) ### Can I trace a number back to the conversations behind it? Yes. In Rippit, every result is a field on a specific conversation,[[2]](#src-2) so you can audit any answer by opening the conversations and fields behind it. ### Is Rippit the same company as MaestroQA? Yes. MaestroQA is now Rippit: same founders, with a rebuilt AI-first platform. The company moved from maestroqa.com to rippit.com, and existing customer data, rubrics and integrations carried over.[[10]](#src-10) Some Rippit help center articles still appear under the MaestroQA name and domain. ## Sources Rippit was formerly MaestroQA. Some sources below are hosted on the MaestroQA help center (help.maestroqa.com).[[10]](#src-10) 1. Rippit, homepage: [https://www.rippit.com/](https://www.rippit.com/) 2. Rippit, How It Works: [https://www.rippit.com/how-it-works](https://www.rippit.com/how-it-works) 3. Rippit, Integrations: [https://www.rippit.com/integrations](https://www.rippit.com/integrations) 4. Rippit Help Center, Ingest Data From Your Data Warehouse into Rippit: [https://help.maestroqa.com/en/articles/9795978-ingest-data-from-your-data-warehouse-into-rippit](https://help.maestroqa.com/en/articles/9795978-ingest-data-from-your-data-warehouse-into-rippit) 5. Rippit, Pricing: [https://www.rippit.com/pricing](https://www.rippit.com/pricing) 6. Zendesk, AI-powered quality assurance software (Zendesk QA): [https://www.zendesk.com/service/quality-assurance/](https://www.zendesk.com/service/quality-assurance/) 7. Zendesk Help, Buying Zendesk Workforce engagement management add-ons (Zendesk WFM, Zendesk QA, and WEM bundle): [https://support.zendesk.com/hc/en-us/articles/6851584037146-Buying-Zendesk-Workforce-engagement-management-add-ons-Zendesk-WFM-Zendesk-QA-and-WEM-bundle](https://support.zendesk.com/hc/en-us/articles/6851584037146-Buying-Zendesk-Workforce-engagement-management-add-ons-Zendesk-WFM-Zendesk-QA-and-WEM-bundle) 8. Zendesk Newsroom, "Zendesk Completes Acquisition of Klaus" (Feb. 2024): [https://www.zendesk.com/newsroom/articles/klaus-close24/](https://www.zendesk.com/newsroom/articles/klaus-close24/) 9. Zendesk, Pricing: [https://www.zendesk.com/pricing/](https://www.zendesk.com/pricing/) 10. Rippit, "MaestroQA is now Rippit": [https://www.rippit.com/news/maestroqa-is-now-rippit](https://www.rippit.com/news/maestroqa-is-now-rippit) 11. Zendesk Help, Understanding autoscoring categories: [https://support.zendesk.com/hc/en-us/articles/7043747123354-Understanding-autoscoring-categories](https://support.zendesk.com/hc/en-us/articles/7043747123354-Understanding-autoscoring-categories) 12. Zendesk Help, Personalizing intelligent triage by creating custom intents: [https://support.zendesk.com/hc/en-us/articles/8718789695002-Personalizing-intelligent-triage-by-creating-custom-intents](https://support.zendesk.com/hc/en-us/articles/8718789695002-Personalizing-intelligent-triage-by-creating-custom-intents) 13. Rippit, Conversation Taxonomy playbook: [https://www.rippit.com/playbooks/conversation-taxonomy](https://www.rippit.com/playbooks/conversation-taxonomy) 14. Zendesk Blog, Relate 2026: Evolving the Resolution Platform for the autonomous service era: [https://www.zendesk.com/blog/zendesk-insights/innovation/relate-2026--evolving-the-resolution-platform-for-the-autonomous/](https://www.zendesk.com/blog/zendesk-insights/innovation/relate-2026--evolving-the-resolution-platform-for-the-autonomous/) 15. Zendesk Help, Connecting Front for Zendesk QA: [https://support.zendesk.com/hc/en-us/articles/7043661995034-Connecting-Front-for-Zendesk-QA](https://support.zendesk.com/hc/en-us/articles/7043661995034-Connecting-Front-for-Zendesk-QA) 16. Zendesk Help, Connecting Gorgias to Zendesk QA: [https://support.zendesk.com/hc/en-us/articles/7043759612058-Connecting-Gorgias-to-Zendesk-QA](https://support.zendesk.com/hc/en-us/articles/7043759612058-Connecting-Gorgias-to-Zendesk-QA) 17. Zendesk Help, About intelligent triage: [https://support.zendesk.com/hc/en-us/articles/4964463770650-About-intelligent-triage](https://support.zendesk.com/hc/en-us/articles/4964463770650-About-intelligent-triage) 18. Zendesk Help, AutoQA in Zendesk QA FAQ: [https://support.zendesk.com/hc/en-us/articles/7043747067546-AutoQA-in-Zendesk-QA-FAQ](https://support.zendesk.com/hc/en-us/articles/7043747067546-AutoQA-in-Zendesk-QA-FAQ) 19. Zendesk Help, Getting started with Zendesk Explore for reporting and analytics: [https://support.zendesk.com/hc/en-us/articles/4408831710618-Getting-started-with-Zendesk-Explore-for-reporting-and-analytics](https://support.zendesk.com/hc/en-us/articles/4408831710618-Getting-started-with-Zendesk-Explore-for-reporting-and-analytics) 20. Zendesk Help, Using drill in to refine your reports: [https://support.zendesk.com/hc/en-us/articles/4408826499482-Using-drill-in-to-refine-your-reports](https://support.zendesk.com/hc/en-us/articles/4408826499482-Using-drill-in-to-refine-your-reports) 21. Zendesk Help, Sending a CSAT survey to your customers: [https://support.zendesk.com/hc/en-us/articles/7689997846554-Sending-a-CSAT-survey-to-your-customers](https://support.zendesk.com/hc/en-us/articles/7689997846554-Sending-a-CSAT-survey-to-your-customers) 22. Rippit, Checkr customer story: [https://www.rippit.com/customer-story/checkr](https://www.rippit.com/customer-story/checkr) 23. Zendesk Newsroom, "Zendesk Introduces the Autonomous Service Workforce" (Relate 2026, May 19, 2026): [https://www.zendesk.com/newsroom/press-releases/relate-2026/](https://www.zendesk.com/newsroom/press-releases/relate-2026/) 24. Zendesk Help, Announcing the MCP client early access program: [https://support.zendesk.com/hc/en-us/articles/10889847373466-Announcing-the-MCP-client-early-access-program](https://support.zendesk.com/hc/en-us/articles/10889847373466-Announcing-the-MCP-client-early-access-program) 25. Geckoboard, Zendesk MCP: Servers, Options & Setup Explained (2026): [https://www.geckoboard.com/blog/zendesk-mcp-the-different-options-compared-2026/](https://www.geckoboard.com/blog/zendesk-mcp-the-different-options-compared-2026/) 26. Rippit, The Complete Guide to Conversation Analytics: [https://www.rippit.com/playbooks/the-complete-guide-to-conversation-analytics](https://www.rippit.com/playbooks/the-complete-guide-to-conversation-analytics) 27. Rippit, Klaviyo customer story: [https://www.rippit.com/customer-story/klaviyo](https://www.rippit.com/customer-story/klaviyo) 28. Rippit first-party research: AI analysis of 2,345 Rippit sales conversations (2025–2026), run on Rippit's own conversation analytics platform. 784 of 2,345 prospects (33%) mentioned Zendesk; 310 of those (40%) had used or evaluated Zendesk QA or Zendesk AI. 29. Claude Help Center, Get started with custom connectors using remote MCP: [https://support.claude.com/en/articles/11175166-get-started-with-custom-connectors-using-remote-mcp](https://support.claude.com/en/articles/11175166-get-started-with-custom-connectors-using-remote-mcp) 30. Claude Docs, Context windows: [https://platform.claude.com/docs/en/build-with-claude/context-windows](https://platform.claude.com/docs/en/build-with-claude/context-windows) 31. Rippit, Brex customer story: [https://www.rippit.com/customer-story/brex](https://www.rippit.com/customer-story/brex) 32. Rippit, The Coverage Benchmark, Part 8: Rippit: [https://www.rippit.com/research/coverage-benchmark-rippit](https://www.rippit.com/research/coverage-benchmark-rippit) 33. Rippit docs, Pipelines: [https://docs.rippit.com/pipelines/overview](https://docs.rippit.com/pipelines/overview) Build your first agent on your customer and business data. ## Getting started from an AI agent There are two ways to connect. Either works. - MCP server: `https://mcp.rippit.com/mcp` (Streamable HTTP, OAuth). The person signs in or signs up in the browser that opens. No client ID, secret or API key is needed. - CLI: install with `curl -fsSL https://rippit.sh | sh` or `brew install adtribute/tap/rippit`, then get an account one of two ways: - `rippit login`: the person signs in or signs up in a browser. - `rippit start`: creates a temporary account with no email or browser, for a person with no Rippit account. `rippit claim --wait` lets them keep it; an unclaimed account is deleted after 14 days. Then bring in data: connect a provider such as Zendesk, Intercom, Gong or Salesforce, or upload a CSV. Full steps: https://www.rippit.com/setup.md