# Zentesimal > Zentesimal gives Customer Operations leaders AI workers and operational change control—hours back on OPEX, knowledge that stays current, and a seat at the table for NRR. For CX and lifecycle teams buried in execution Your CX team is buried in tickets, campaigns, and onboarding. ## Hero AI that turns "cost centers" into revenue drivers. AI workers run that execution. Your team focuses on the strategy. ## Pillars Give every user a dedicated AI worker. Your headcount stays the same. Your team can't follow up with 100,000 users. Your AI workers can. From conversion to renewal, they know each user's history, moment, and next best action — and act on it. ### Conversion **Problem:** Turn signups into paying customers — **Outcome:** without manual follow-up. ### Support **Problem:** Customers expect speed and quality — **Outcome:** not another generic chatbot. ### Retention **Problem:** Keep the customers you already have. **Outcome:** Recover the ones you lost. ### Product & growth **Problem:** Beyond CX — **Outcome:** AI workers for every customer-facing team. ## Features ### AI Workers Generic chatbots answer from stale FAQs. Your team needs workers trained on how you actually operate. Workers start as copilots your agents review, then graduate to supervised handoff and autonomous ops—on your timeline. ### Knowledge gaps Product ships weekly; helpdesk articles, SOPs, and Slack threads diverge—until AI and humans disagree on what is true. One layer syncs your sources and surfaces gaps automatically—so your team fixes knowledge before churn and escalations spike. ### AI Guards Customer-facing AI without guardrails breaks trust fast. Your team needs checks that run before—not after—a bad reply ships. Every draft passes automated guards for policy, scope, tone, and language—with escalation when checks fail, not silent mistakes. ### Integrations You already invested in helpdesk AI and CRM tools. Zentesimal adds change control—not another platform to migrate. Workers operate inside the systems your team already uses. Connect in weeks, not a multi-quarter rip-and-replace. ### Escalation quality When policy or risk needs a person, N1 and N2 deserve context—not a wall of chat history and guesswork. Escalate with structured handoffs, quality review, and gap detection on stale answers—so your team trusts automation. ### Ops Assistant Your team needs answers from tickets, escalations, and knowledge—not another dashboard to maintain. Chat with an internal AI worker for weekly escalation summaries, VoC rollups, KB gap research, and leadership-ready reports. ## Use cases ### N1 Tickets Your team drowns in repetitive tickets while customers expect speed and accuracy—not another generic chatbot. Copilots trained on your stack graduate to autonomous workers, with escalation paths your team can audit. ### Churn Recovery Churn signals stay buried in tickets until the renewal is already at risk—and every cancellation is tagged differently. Every cancellation gets consistent categories, enriched account context, and a recovery draft your team can send from Slack. ### Voice of Customer Product ships weekly but VOC still means spreadsheets, sample reviews, and gut feel in leadership meetings. Scheduled analysis of closed conversations produces categorized insights, behavioral signals, and dashboards your team actually uses. ### Upsales boost Expansion opportunities and churn risk hide in tickets until someone manually connects dots across tools. Workers watch account behavior and support patterns to flag expansion-ready accounts and drift—while your team stays in control. ## Comparisons ### Zentesimal vs Intercom Fin - Fin focuses on resolving customer questions, and is priced per outcome (from $0.99 per resolution). - Zentesimal workers cover the whole lifecycle: N1 support, escalation review, churn recovery, upsell and 100% conversation analysis. - They are not either/or: Zentesimal can run alongside Fin and read the same conversations. **Choose Zentesimal if:** - You need AI beyond deflection: retention, upsell and Voice of Customer on one platform. - You want to audit every run: reasoning, skills loaded, tools used and guards applied. - Your team works in Crisp, or runs several helpdesks side by side. **Choose Intercom Fin if…** - You want AI support and sales agents inside Intercom. - Per-outcome pricing fits your volume and budget. ### Zentesimal vs Zendesk AI - Zendesk AI covers ticket automation, agent assist and QA inside Zendesk. - Zentesimal turns the same conversations into churn recovery, upsell briefs and Voice of Customer, and reviews every escalation. - Zentesimal connects to Zendesk, so you can run both. **Choose Zentesimal if:** - Support conversations should feed retention, upsell and product decisions. - You want every escalation reviewed and every knowledge gap flagged automatically. - Your team works in Crisp, or runs several helpdesks side by side. **Choose Zendesk AI if…** - You are fully on Zendesk and need ticket automation and agent assist. - Built-in QA scoring for your agents is the main need. ### Zentesimal vs ChatGPT / Claude - General LLMs now connect to your docs and some helpdesks, but you still build the support workflow: policies, escalation and reporting. - Zentesimal workers are grounded in synced knowledge, act through approved Actions and are blocked by Guards before sending. - You can still use ChatGPT or Claude with Zentesimal data through our MCP connector. **Choose Zentesimal if:** - AI needs to reply to customers, not only help agents draft. - You need guards, escalation paths and an audit trail you can show leadership. - You do not want to build and maintain your own sync, prompts and reporting. **Stick with ChatGPT / Claude if…** - You only need a personal assistant for drafting and research. - Volume is low and a human reviews every message anyway. ### Zentesimal vs DIY / in-house - Calling a model is the easy part. Syncing knowledge, guarding replies, integrating helpdesks and measuring results is the ongoing work. - Zentesimal ships that layer ready to use, and keeps it maintained as models and helpdesk APIs change. - Building in-house gives you full control, at the cost of a team to own it. **Choose Zentesimal if:** - You want AI workers in production without staffing a team to build and run them. - Your engineers should work on your product, not on support tooling. - You need guards, audit trails and KPIs from day one. **Build in-house if…** - AI support is part of your core product, and a dedicated team will own it long term. - You have constraints no platform can meet, such as fully self-hosted models. ### Zentesimal vs spreadsheets - Spreadsheets are free and flexible, but depend on agents tagging consistently and someone compiling the report. - Zentesimal classifies 100% of conversations, with themes and trends updated continuously. - The hours spent tagging and compiling go back to the team. **Choose Zentesimal if:** - You handle hundreds or thousands of conversations a month. - Product and leadership need insights they can trust, not a sample. - Your team spends hours a week tagging and compiling reports. **Stick with spreadsheets if…** - Volume is low enough to read every conversation yourself. - You need a one-off analysis, not an ongoing process. ### Zentesimal vs Gainsight - Gainsight is built around health scores, CSM workflows and account data, now with AI agents for CSMs. - Zentesimal reads 100% of support conversations and runs workers for winback and upsell, without a CSM for every account. - The two work together: Zentesimal signals can feed the CSM workflows you already run. **Choose Zentesimal if:** - Many accounts have no dedicated CSM, and churn shows up in support first. - You want support, Voice of Customer and retention on one platform, starting from your helpdesk. - You need results in weeks, without a long implementation. **Choose Gainsight if…** - You run a large CSM team with complex, account-level health scoring. - You have admins to configure and maintain the platform. ### Zentesimal vs Vitally - Vitally helps CSMs manage accounts, with health scores and automated playbooks. - Zentesimal reads every support conversation and runs workers that write and send winback and upsell outreach. - They complement each other: Zentesimal covers the long tail of accounts without a CSM. **Choose Zentesimal if:** - Churn and expansion intent shows up in support before it shows up in usage. - Most accounts are self-serve or low-touch, without a CSM. - You want outreach written and sent automatically, not drafted for a CSM to send. **Choose Vitally if…** - Your CSM team needs one workspace for accounts, projects and notes. - Health scoring from product data drives your CS motion. ### Zentesimal vs ChurnZero - ChurnZero tracks usage and health scores, and triggers plays for CSMs. - Zentesimal reads 100% of support conversations and runs AI workers for winback and upsell. - Together, ChurnZero covers product usage and Zentesimal covers what customers actually say. **Choose Zentesimal if:** - You want to act on why customers cancel, in their own words. - You want winback triggered automatically on every cancellation. - You also want AI support and Voice of Customer on the same platform. **Choose ChurnZero if…** - Your CS motion runs on usage-based health scores and CSM plays. - In-app engagement campaigns are a core need. ## Integrations Our AI Workers operate where your teams already work. No migrations, no friction. This catalog reflects common stacks Customer Operations teams run on. Zentesimal works alongside your existing tools—no rip-and-replace. - [Integrations overview](https://zentesimal.com/integrations): Full catalog including ecosystem partners Live connections: - Zendesk: Market leader - Freshdesk: Freshworks Suite - Intercom: Chat + ticketing - Crisp: Multichannel chat - WeChat Mini Program: In-app messaging - Notion: Docs + wiki - FernDesk: Help center + SOPs - Aircall: Cloud phone system - Ringover: Voice for support teams - Amplitude: Behavioral analytics - Mixpanel: Event analytics - Datadog: Technical signals - HubSpot CRM: Mid-market - Pipedrive: SMB CRM - Odoo: ERP + CRM - Stripe: Billing + subscriptions - Braintree: Payments platform - NetSuite: Enterprise ERP - Gmail / Google Workspace: Corporate email - Slack: Internal comms - Microsoft Teams: Internal comms ## Blog - [Blog](https://zentesimal.com/blog): Articles from the Zentesimal team - [How to restructure a support team for AI without firing anyone](https://zentesimal.com/blog/restructure-support-team-for-ai-without-firing): Restructuring support for AI moves people up a ladder, not out the door. The five stages, the KPIs that change at each one, and where the freed hours go. - [The CRM Was Built for Human Memory](https://zentesimal.com/blog/the-crm-was-built-for-human-memory): AI doesn't need a clean CRM. It reads tickets, calls, and product data straight from the source, so nothing depends on someone typing it in. - [Building your own AI for customer ops: when does it pay off?](https://zentesimal.com/blog/build-or-buy-ai-customer-ops): Building your own AI for customer ops pays off with the right team, timeline, and maintenance plan. See when buying instead works out better. - [How to reorganize your customer experience team when AI arrives](https://zentesimal.com/blog/how-to-reorganize-your-cx-team-for-ai): How CX and post sales teams restructure when they bring in AI: which roles shift first, how fast each profile adapts, and how to lead the change. - [How to Add AI to Your CS Stack Without Paying the Tool Switching Cost](https://zentesimal.com/blog/ai-cs-stack-without-switching-cost): Most AI rollouts price in the software, but forget to price what it costs the team to relearn a new tool. - [Beyond "Not Escalated": How Not to Measure AI Support Success](https://zentesimal.com/blog/beyond-not-escalated-how-not-to-measure-ai-support-success): Containment rate looks like success but hides silent churn. Here's the four state model that catches it before customers walk away. - [How to Measure AI ROI in Customer Support](https://zentesimal.com/blog/how-to-measure-ai-roi-in-customer-support): Cost per ticket is only one lever. Here’s how CX teams measure AI worker ROI across OPEX, revenue, and the hours the team gets back. ### How to restructure a support team for AI without firing anyone Restructuring support for AI moves people up a ladder, not out the door. The five stages, the KPIs that change at each one, and where the freed hours go. ### The CRM Was Built for Human Memory AI doesn't need a clean CRM. It reads tickets, calls, and product data straight from the source, so nothing depends on someone typing it in. ### Building your own AI for customer ops: when does it pay off? Building your own AI for customer ops pays off with the right team, timeline, and maintenance plan. See when buying instead works out better. ### How to reorganize your customer experience team when AI arrives How CX and post sales teams restructure when they bring in AI: which roles shift first, how fast each profile adapts, and how to lead the change. ### How to Add AI to Your CS Stack Without Paying the Tool Switching Cost Most AI rollouts price in the software, but forget to price what it costs the team to relearn a new tool. ### Beyond "Not Escalated": How Not to Measure AI Support Success Containment rate looks like success but hides silent churn. Here's the four state model that catches it before customers walk away. ### How to Measure AI ROI in Customer Support Cost per ticket is only one lever. Here’s how CX teams measure AI worker ROI across OPEX, revenue, and the hours the team gets back. ## Help Center - [Help Center](https://zentesimal.com/help): Operator guides for using Zentesimal: account, workers, knowledge, and Talk - [What is a worker](https://zentesimal.com/help/what-is-a-worker): A Worker is an always-on automation trained on your knowledge that starts as a copilot, then can go live on its own. - [Invite teammates and set roles](https://zentesimal.com/help/invite-teammates-and-set-roles): Invite people from Account → Team and choose User or Admin so they can run workers. - [Add a custom worker](https://zentesimal.com/help/add-a-custom-worker): Use Add Worker to create a named instance with its own Skills, Guards, triggers, and Results. - [Add an action to a worker](https://zentesimal.com/help/add-an-action-to-a-worker): Pick the actions a worker may take — like sending a Slack message or updating Crisp — and fill in the required settings. - [Enable or pause a worker](https://zentesimal.com/help/enable-or-pause-a-worker): Turn a Worker on once its knowledge, Skills, and a test run look right, or pause it any time without losing its setup. - [Connect Claude or ChatGPT to Zentesimal with MCP](https://zentesimal.com/help/connect-claude-chatgpt-mcp): Connect Claude or ChatGPT to your Zentesimal account over MCP to manage Workers, Skills, and Guards, or search Voice of Customer data, right from chat. - [Save a worker Results view as a dashboard](https://zentesimal.com/help/save-a-worker-results-view-as-a-dashboard): Save a worker chart or filtered Results view as a tile, then reopen it from Account → Dashboards. - [Connect Datadog](https://zentesimal.com/help/connect-datadog): Add a Datadog API key then map RUM unique users into scheduled worker batches. - [Find your way around the app](https://zentesimal.com/help/find-your-way-around-the-app): Use Home, Workers, Tasks, Knowledge, and Performance to run day-to-day work. - [How to run a worker](https://zentesimal.com/help/how-to-run-a-worker): Use Run Worker for tests and on-demand runs. Choose Batch or Single event, pick an input, then check Results. Ongoing work uses Triggers. - [Let a worker browse a public URL](https://zentesimal.com/help/let-a-worker-browse-a-public-url): Add the browse-URL action when a worker needs to read a public page that isn't in your Knowledge base. - [Add company and product AI context](https://zentesimal.com/help/add-company-and-product-ai-context): Fill in Account Settings → AI Context so chat, email, and Slack Q&A use your product copy instead of a generic label. - [Read and filter Results](https://zentesimal.com/help/read-and-filter-results): Open the Results tab, filter by date or column, then open a row to see the full outcome. - [Add a trigger to a worker](https://zentesimal.com/help/add-a-trigger-to-a-worker): Add a live or scheduled trigger so a worker only runs on the events you choose. - [Create and revoke API tokens](https://zentesimal.com/help/create-and-revoke-api-tokens): Create a hashed API token in Account → API to pull your data, then revoke it any time. - [Add a note on a Result](https://zentesimal.com/help/add-a-note-on-a-result): Leave an append-only note on any Worker Result so the next teammate who triages it has context. - [Duplicate a worker](https://zentesimal.com/help/duplicate-a-worker): Copy an existing Worker into a new, disabled instance so you can try a second playbook without starting from a blank wizard. - [Arrange tiles on Account dashboards](https://zentesimal.com/help/arrange-tiles-on-account-dashboards): Drag and resize saved dashboard tiles on Account → Dashboards to lay them out the way you want. - [Schedule a worker to run on a cadence](https://zentesimal.com/help/schedule-a-worker-to-run-on-a-cadence): Set a repeating schedule and timezone on a trigger, then check the next run time on the worker. - [How Zentesimal handles customer data in AI](https://zentesimal.com/help/how-zentesimal-handles-customer-data-in-ai): PII is redacted before any model call — use this article to brief security and CS leads. - [Limit a trigger with customer segments](https://zentesimal.com/help/limit-a-trigger-with-customer-segments): Add a segment condition so a trigger only continues for the accounts or messages that match. - [Add or edit Guards](https://zentesimal.com/help/add-or-edit-guards): Add misbehaviour rules on Guards so drafts can't skip the policy you care about. - [Export Voice of Customer with the API](https://zentesimal.com/help/export-voice-of-customer-with-the-api): Call GET /api/v1/voc/conversations with a Bearer token to export tagged conversations into your own stack. - [Edit Agent Skills for a worker](https://zentesimal.com/help/edit-agent-skills-for-a-worker): Open Knowledge → Agent skills to edit the playbook a worker reads at runtime. - [Save and restore skill versions](https://zentesimal.com/help/save-and-restore-skill-versions): Save a Skill as a new version before a risky edit, or restore an older version if a change doesn't work out. - [Set worker input fields](https://zentesimal.com/help/set-worker-input-fields): Define typed input fields so Zentesimal maps spreadsheet rows, JSON, or free text into them before the worker runs. - [Use Datadog RUM as worker input](https://zentesimal.com/help/use-datadog-rum-as-worker-input): Connect Datadog and map RUM unique users into a scheduled cohort for batch workers. ### What is a worker A Worker is an always-on automation trained on your knowledge that starts as a copilot, then can go live on its own. ### Invite teammates and set roles Invite people from Account → Team and choose User or Admin so they can run workers. ### Add a custom worker Use Add Worker to create a named instance with its own Skills, Guards, triggers, and Results. ### Add an action to a worker Pick the actions a worker may take — like sending a Slack message or updating Crisp — and fill in the required settings. ### Enable or pause a worker Turn a Worker on once its knowledge, Skills, and a test run look right, or pause it any time without losing its setup. ### Connect Claude or ChatGPT to Zentesimal with MCP Connect Claude or ChatGPT to your Zentesimal account over MCP to manage Workers, Skills, and Guards, or search Voice of Customer data, right from chat. ### Save a worker Results view as a dashboard Save a worker chart or filtered Results view as a tile, then reopen it from Account → Dashboards. ### Connect Datadog Add a Datadog API key then map RUM unique users into scheduled worker batches. ### Find your way around the app Use Home, Workers, Tasks, Knowledge, and Performance to run day-to-day work. ### How to run a worker Use Run Worker for tests and on-demand runs. Choose Batch or Single event, pick an input, then check Results. Ongoing work uses Triggers. ### Let a worker browse a public URL Add the browse-URL action when a worker needs to read a public page that isn't in your Knowledge base. ### Add company and product AI context Fill in Account Settings → AI Context so chat, email, and Slack Q&A use your product copy instead of a generic label. ### Read and filter Results Open the Results tab, filter by date or column, then open a row to see the full outcome. ### Add a trigger to a worker Add a live or scheduled trigger so a worker only runs on the events you choose. ### Create and revoke API tokens Create a hashed API token in Account → API to pull your data, then revoke it any time. ### Add a note on a Result Leave an append-only note on any Worker Result so the next teammate who triages it has context. ### Duplicate a worker Copy an existing Worker into a new, disabled instance so you can try a second playbook without starting from a blank wizard. ### Arrange tiles on Account dashboards Drag and resize saved dashboard tiles on Account → Dashboards to lay them out the way you want. ### Schedule a worker to run on a cadence Set a repeating schedule and timezone on a trigger, then check the next run time on the worker. ### How Zentesimal handles customer data in AI PII is redacted before any model call — use this article to brief security and CS leads. ### Limit a trigger with customer segments Add a segment condition so a trigger only continues for the accounts or messages that match. ### Add or edit Guards Add misbehaviour rules on Guards so drafts can't skip the policy you care about. ### Export Voice of Customer with the API Call GET /api/v1/voc/conversations with a Bearer token to export tagged conversations into your own stack. ### Edit Agent Skills for a worker Open Knowledge → Agent skills to edit the playbook a worker reads at runtime. ### Save and restore skill versions Save a Skill as a new version before a risky edit, or restore an older version if a change doesn't work out. ### Set worker input fields Define typed input fields so Zentesimal maps spreadsheet rows, JSON, or free text into them before the worker runs. ### Use Datadog RUM as worker input Connect Datadog and map RUM unique users into a scheduled cohort for batch workers. ## FAQ ### What is an AI worker — and how is it different from a chatbot? AI workers are trained on your operations, synced knowledge bases, and how your team actually works. They start as copilots your agents review, then graduate to autonomous when ready — and they can act inside your helpdesk and back office, not just answer from stale FAQs. ### We already use Intercom Fin, Zendesk AI, or an internal GPT. What do you add? Change control and knowledge alignment — not another bolt-on chatbot. We stack on your helpdesk and existing AI, start with one worker on one workflow, and prove value before you rethink your stack. ### How is this different from “AI resolves X% of tickets”? We measure lifecycle outcomes — conversion, retention, expansion, and knowledge freshness — not deflection alone. Ticket automation is table stakes; acting on every user at scale is not. ### What if our product changes every week? Synced helpdesk, SOPs, Slack Q&A, and conversation learnings — plus gap detection when AI or agents hit outdated answers. That is the drift problem most AI vendors ignore. ### How long until we see results? Most teams have a copilot live on one channel in 4–6 weeks and see meaningful time back early. We prove one workflow in ~8 weeks before you expand across support, churn, VoC, or upsell workers. ### Do I need to involve IT or data teams to start? No heavy data project. We connect to the helpdesk and knowledge sources your CX and lifecycle teams already use; IT only joins when you want deeper integrations, and we handle that in parallel. ### What if my team resists? We start with copilots, not replacements. Your team reviews outputs, tunes tone, and graduates workers from helper to supervised handoff to autonomous only when they trust it. Resistance usually fades once people see fewer tickets and more strategy work. Your team already knows the customer. It's time the company listens. ## Contact New teams should reach out — book a demo or email us to get started. - [Book a demo](https://zentesimal.com/book-demo): Schedule a personalized demo with the Zentesimal team - [Email](mailto:hello@zentesimal.com): hello@zentesimal.com ## Reviews and user opinions - [G2](https://www.g2.com/contributor/zentesimal-review-collection-d05b26b4-b391-4725-a1b9-1e699f0184f2): Independent user reviews of Zentesimal on G2. Current customers can leave a review here. ## Founders Zentesimal was co-founded by Sergio Palmero and José Antonio Jiménez Hernández. - [Sergio Palmero](https://www.linkedin.com/in/sergiopm/): CEO & Founder - [José Antonio Jiménez Hernández](https://www.linkedin.com/in/jajimenezhernandez/): CTO & Co-founder ## Legal - [Privacy Policy](https://zentesimal.com/privacy-policy) - [Terms of Service](https://zentesimal.com/terms-of-service) - [Cookie Policy](https://zentesimal.com/cookie-policy) - [Legal Notice](https://zentesimal.com/legal-notice)