Mike HeapMike is an experienced Product Manager who focuses on all the “non-development” areas of My AskAI, from finance and customer success to product design, copywriting, testing and more.
Table of Contents
- What is Zendesk AI (and what does “Advanced AI agents” actually mean)?
- How easy is it to set up Zendesk AI?
- What channels does Zendesk AI work in?
- What are the limitations of Zendesk AI?
- What knowledge sources can I train Zendesk AI on?
- What features does Zendesk AI have?
- How do I improve Zendesk AI responses?
- What resolution rate can I expect from Zendesk AI?
- What AI model does Zendesk AI use?
- What languages does Zendesk AI work in?
- How secure is Zendesk AI?
- Who is using Zendesk AI?
- How much does Zendesk AI cost?
- Does Zendesk AI have a free trial?
- Is Zendesk AI worth it?
- What are the Pros and Cons of the Zendesk Advanced AI agent?
- Pros
- Cons
- FAQs
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Zendesk's AI agents now come with every Suite and Support plan, billed per automated resolution on top of your seats. Here's what's included, what's extra, and where the limitations sit.
I know why you're here…
You’re here because of one of three reasons:
- You got pitched Zendesk “Advanced AI” and the cost made you do a double-take.
- You tried to set it up and hit the “why am I building my 9th flow?” wall.
- You ran a trial and it didn’t move the needle the way the deck implied it would.
This post is the time-saver version: what Zendesk AI actually is today (Essentials vs Advanced vs Copilot), what it can and can’t do, what you can train it on, how billing really works (“Automated Resolutions”), and a practical way to decide if it’s worth it.
What is Zendesk AI (and what does “Advanced AI agents” actually mean)?
TL;DR: "Advanced AI agents" used to be Zendesk's paid add-on on top of the more limited "AI agents - Essential". Zendesk has since folded its features (hybrid conversation flows, API integrations/actions and agentic procedures) into every Suite and Support plan, and Essential shuts off on December 10, 2026.
Zendesk has shipped “AI-ish” features for years (for example, its earlier Answer Bot), but the current wave is different because it’s built around generative AI—meaning the system can draft answers by reasoning over your knowledge, not just matching keywords.
Zendesk’s current packaging is where most confusion starts:
- AI agents – Essential was the entry-level AI agent on Suite plans. It is now legacy and shuts off on December 10, 2026, and AI agents still bill on outcomes via Automated Resolutions.
- AI agents – Advanced (also shown as “Advanced AI agents” on Zendesk’s pricing) was the "real" automation add-on: more control, more analytics, and support for more complex automation. Zendesk no longer sells it separately, because those features now come with every Suite and Support plan.
- Zendesk also sells a separate Copilot add-on, which focuses on agent-assist workflows (drafts, summaries, writing improvements, and triage inside the workspace).
If you’re evaluating “Zendesk Advanced AI,” you’re basically evaluating AI agents – Advanced.
How easy is it to set up Zendesk AI?
TL;DR: Zendesk AI is quick to set up for a basic launch if you already have channels and clean knowledge content, but Advanced deployments often become an ongoing configuration project (persona + knowledge imports + use cases + flows + monitoring).
Zendesk markets AI agents as fast to launch (including claims like “get started in minutes” on its AI agents page).
And for the Essentials-level agent, that’s fairly believable: you can enable an agent, name it, and pick a tone/persona in the admin UI.
The moment you want higher automation (Advanced), the setup is more involved.
Zendesk’s own getting started flow for AI agents – Advanced makes it clear this isn’t “turn it on and forget it.”
A solid setup typically includes:
- preparing and optimizing help content
- configuring channels
- creating and configuring the agent (including a required persona)
- importing knowledge sources
- defining use cases and building dialogues/flows
- optionally wiring in API integrations/actions
- then monitoring and iterating
And yes—people complain about the flow-building experience.
There are Zendesk users publicly describing the dialogue builder as painful in threads such as this Reddit discussion.
Another user describes an Ultimate.ai (now Zendesk AI) rollout dragging far beyond plan, even with consultants involved (example comment).
The practical reality: you can get something live quickly, but if you want good automation (and predictable behavior), you should treat it like a real implementation—not a toggle.
My AskAI is a direct swap for Zendesk AI, with approved apps in the Zendesk marketplace, entirely no-code, you can set it up in under 10 minutes and save 5-8x the cost.
What channels does Zendesk AI work in?
TL;DR: Zendesk AI agents work across messaging and email, and Zendesk's voice AI agents for Zendesk Talk are now generally available.
Zendesk explicitly states that with AI agents – Advanced, you can create advanced AI agents across messaging and email channels.
Messaging can include a pretty wide surface area depending on how you’ve configured Zendesk Messaging.
Zendesk’s own automated-resolution documentation spells out that messaging can span Web Widget, mobile SDK, and third-party messaging channels like Facebook Messenger, X (Twitter) DMs, Instagram Direct, LINE, and WhatsApp (channel detail).
Zendesk ran voice AI agents as an early access program first and made them generally available to all eligible customers in September 2026, with escalation and transcription into the agent workspace (voice AI agents EAP).
Separately (but worth knowing), Zendesk also has an AI help center experience where users can get AI-generated quick answers in the help center search experience.
My AskAI works in all of the Zendesk channels (except voice).
What are the limitations of Zendesk AI?
TL;DR: The biggest Zendesk AI constraints are that external knowledge sources sync on a schedule rather than live, too many sources can hurt accuracy and slow replies, and some agentic features behave differently by channel (notably email).
Zendesk AI’s limitations come from two places: “generative AI reality” and “Zendesk product constraints.”
On the product side, the most important limitation is how Zendesk handles knowledge.
For Advanced AI agents, knowledge sources are imported on a recurring basis. Zendesk now searches your own help center live, but external sources (up to 50) sync roughly every 24 hours rather than being queried live. That matters if your policies, pricing, or operational details change frequently.
Zendesk also explicitly warns that loading in lots of knowledge sources can reduce accuracy and increase latency—so “throw everything in” can backfire (knowledge source guidance), however, to be honest, this is true of any AI agent.
Channel limitations show up too:
- On email, a Zendesk AI agent runs generative procedures only (one per reply), and Zendesk escalates emails that ask for several procedures or mix a knowledge question with a procedure request (email limitation).
- For AI agents with agentic AI, Zendesk lists limitations including: no rich-text formatting in generative procedures, and no support for search rules in generative procedures (search rules still work with dialogues).
Language handling also has a specific gotcha: transliteration isn’t supported. If someone writes Russian in Latin characters, it’s not the same as writing in Cyrillic, and Zendesk won’t treat it as such (language limitation).
Finally, Zendesk does sanitize messages to reduce PII exposure, but it explicitly says it can’t guarantee 100% removal due to false positives/negatives in detection (data processing note).
My AskAI charges based on ticket volume, so you can more easily predict your usage and keep your costs stable as your resolution increases. It can use generative AI to reply to emails and you can also connect your My AskAI to more knowledge sources for direct replies, including Google Drive, Notion, OneDrive and more.
What knowledge sources can I train Zendesk AI on?
TL;DR: Zendesk AI agents – Advanced can import Zendesk/Salesforce/Freshdesk help centers, Confluence, CSV files, and web-crawled pages; private Zendesk help center content can be imported with authorized credentials.
Zendesk frames “training” less like model training and more like powering generative replies with curated knowledge sources. The supported inputs for Advanced AI agents include:
- help centers powered by Zendesk, Salesforce, or Freshdesk,
- Confluence sites or spaces,
- CSV files formatted as article content,
- and web-crawled pages (supported knowledge sources).
If your Zendesk help center content is restricted/private, Zendesk also supports importing it by providing authorized credentials/tokens as part of the import process (restricted article import).
Zendesk notes that web crawling is best suited to knowledge bases, FAQs, and product pages—and is less suited to e-commerce shops.
For dynamic product data, you’re better off building an integration rather than crawling a storefront (web crawl guidance).
My AskAI can create tasks, actions and connect to any API to improve responses. You can also connect your My AskAI to more knowledge sources for direct replies, including Google Drive, Notion, OneDrive and more.
What features does Zendesk AI have?
TL;DR: Advanced AI agents combines generative replies grounded in knowledge with dialogue-based flows, optional API integrations/actions, and advanced reporting; Zendesk Copilot adds agent-assist features like drafts, summaries, writing enhancement, and intelligent triage.
At the core of Zendesk AI agents – Advanced is a hybrid automation model: generative answers when the knowledge is sufficient, and scripted/hybrid flows when you need control.
Zendesk’s own feature summary for AI agents – Advanced highlights:
- “zero-training” generative behavior (the agent interprets the message and responds from your knowledge or routes into a flow)
- the dialogue builder for scripted/hybrid flows
- the integration builder to connect APIs/data sources without code
- and advanced analytics
Under the hood, Advanced also supports building conversation behaviors with actions and events. Zendesk documents the ability to create and add actions, and to apply them at different levels of an agent experience.
If you want tighter control over what knowledge is used when, Zendesk supports search rules for knowledge sources, including filtering by URL, locale, and other source attributes (with some caveats, like labels not working for Confluence).
On the agent-assist side, Zendesk’s Copilot can generate draft replies, summarize tickets, enhance writing, and do “Intelligent triage” for categorization and tagging inside the agent workspace.
And if you’re tracking toward voice, Zendesk’s voice AI agents EAP layers on top of Talk and is now generally available.
My AskAI has AI tagging capabilities, Insights and analytics to review responses, can reply in internal as well as direct modes and has a self-learning feature to automatically improve AI knowledge.
How do I improve Zendesk AI responses?
TL;DR: Zendesk improvement is mainly driven by better knowledge content, stronger persona/instructions, tighter search rules/segmentation, and iterative tuning based on analytics and conversation behavior.
Zendesk’s improvement story is fairly consistent: if you want better AI outcomes, you need better inputs and better controls.
The most underrated lever is content quality. Zendesk explicitly recommends tightening and formatting your help center articles for AI performance—clear titles, narrow scope, focused articles, and readable structure all matter (help center optimization guidance).
Then there’s persona and instructions. For Advanced AI agents, persona configuration is required, and Zendesk provides best practices for writing instructions—while also warning instructions are “strong guidance,” not guaranteed rules (Advanced setup).
Once you have multiple sources, Zendesk expects you to reduce “knowledge noise” by using search rules and segmentation so the agent consults the right content for the right situation.
Zendesk’s monitoring and iteration loop is analytics-heavy. The platform provides performance dashboards like the Performance Overview dashboard, and Zendesk also documents steps for optimizing agent performance.
If you’re concerned about cost spiking as automation increases, Zendesk provides guidance for monitoring automated resolution usage and managing what happens when you hit limits.
My AskAI allows you to inspect responses to better understand answers, has QA and testing features and also self-learns to fix knowledge gaps.
What resolution rate can I expect from Zendesk AI?
TL;DR: Zendesk markets a path to “80%+ automation,” but public case study figures cited include 39%–66%, and Zendesk’s own “road to automation” describes reaching higher rates through flows, backend data, and ongoing QA.
Zendesk positions AI agents as a route to “80%+ automation” on its AI agents marketing page. That’s the headline.
In more grounded terms, Zendesk also describes a “road to automation” progression:
- first ~30% from generative knowledge-based answers,
- then ~40% when adding conversation flows,
- ~50% with back-end customer data,
- ~60% with regular QA,
- and up to ~80% as you expand use cases and languages.
Zendesk doesn’t publish a global cross-customer resolution benchmark, but it does cite customer stories with automated resolution rates in the 39%–66% range on its AI pages.
A concrete Zendesk customer example often referenced is Unity’s story: Unity describes deploying a Zendesk AI agent on web forms and later email and claims they deflected almost 8,000 tickets with ~$1.3M savings (Unity customer story). That’s illustrative of upside when content and self-service are already strong and the intents are repeatable.
It’s also worth noting the gap between marketing and operator sentiment. There are public threads where teams describe the Essentials plan as underwhelming (for example: “doesn’t feel like AI at all” in this Reddit comment), and others flag the risk of “iffy or bad answers” causing high-value customers to abandon chats (example discussion).
So: you can get meaningful deflection, but expecting 80% without investing in flows, data integrations, and QA is wishful thinking.
My AskAI has resolved over 1,000,000 tickets to date with an average resolution rate of 72%.
What AI model does Zendesk AI use?
TL;DR: Zendesk AI agents uses a combination of “Zendesk proprietary intent models” plus third-party LLMs for generative capabilities; Zendesk does not publicly commit to a single fixed LLM model.
Zendesk describes AI agents as using “Generative AI and Zendesk proprietary intent models” on its AI agents page.
For generative features, Zendesk explains it integrates with third-party LLMs in two ways: either hosted on Zendesk-controlled infrastructure within AWS Bedrock, Microsoft Azure, or Google Cloud, or via direct API usage (Zendesk notes that currently only OpenAI is used via API) with “zero data retention” endpoints (Generative AI at Zendesk).
Zendesk also states in its AI data use information that third-party LLM providers do not use your inputs to train their models.
My AskAI uses a suite of different models, mostly from OpenAI, with Google and Anthropic models for specific tasks. We are also constantly running A/B tests and benchmarking to determine whether better quality, faster models can be used.
What languages does Zendesk AI work in?
TL;DR: Zendesk markets “80+ languages,” and its official language support depends on which AI agent feature you’re using; transliteration isn’t supported so users need to write in native scripts.
Zendesk claims AI agents can scale across “80+ languages” on its AI agents page.
The more enforceable detail is in Zendesk’s official list of languages supported by AI agents – Advanced, which explains that supported languages vary depending on whether you’re using use cases (zero-training), generative replies, agentic AI, or legacy expression-based approaches.
One practical limitation Zendesk calls out explicitly: transliteration isn’t supported. Customers need to write in the language’s native script (e.g., Cyrillic for Russian) for it to work reliably (language notes).
My AskAI is multilingual in 95 different languages and also has AI translation copilot tools so you can respond in your own language.
How secure is Zendesk AI?
TL;DR: Zendesk AI is covered by Zendesk’s broader trust and compliance program (SOC 2 and multiple ISO frameworks), includes AI-specific commitments like vendor training restrictions and zero data retention for OpenAI API use cases, and supports encryption and enterprise access controls.
Zendesk’s security posture for AI is anchored in its broader trust program (see the Zendesk trust center) and its AI-specific documentation.
On AI-specific data handling, Zendesk states:
- third-party LLM vendors cannot train on your service data, and
- for OpenAI API use cases, Zendesk uses “zero data retention” endpoints so request/response bodies are not persisted by OpenAI (Generative AI at Zendesk, plus AI Trust at Zendesk).
For AI agents – Advanced, Zendesk describes a transcript sanitization process to reduce PII exposure by replacing detected entities with placeholders, while warning that 100% removal cannot be guaranteed (data processing in AI agents – Advanced).
On security controls, Zendesk documents encryption in transit (HTTPS/TLS) and at rest, plus admin features like SSO, 2FA, and IP restrictions in its secure-by-design overview.
Zendesk also publishes formal compliance scope mappings showing AI Agents included in SOC 2 and ISO programs (products in scope by compliance program).
My AskAI is SOC-2 Type II certified and GDPR compliant.
Who is using Zendesk AI?
TL;DR: Zendesk AI customers include Unity, whose customer story describes significant ticket deflection through AI agents.
Zendesk’s homepage states it’s trusted by “200,000+ companies” (Zendesk homepage). Its secure-by-design documentation also notes that more than 125,000 customers trust Zendesk with their data (secure-by-design overview).
On AI-agent-specific proof points, Zendesk publishes customer stories like Unity describing AI agent rollout across web forms and email with meaningful deflection.
Also: Zendesk is a big, mature vendor (worth over $10B in coverage according to this TechCrunch article), which matters if you’re optimizing for procurement comfort and compliance coverage.
My AskAI is used by over 200 businesses around the world, with ticket volumes from a few hundred per month up to 100k per month. You can read our recent case studies here.
How much does Zendesk AI cost?
TL;DR: Zendesk AI agents now come with every Suite and Support plan and bill on outcomes via "Automated Resolutions": Zendesk publishes $1.50 per automated resolution (committed) or $2.00 pay-as-you-go, on top of plan-based included allowances per agent.
There is no separate "Advanced AI agents" line on Zendesk's pricing page any more. AI agents are part of every Suite and Support plan, and you pay per automated resolution.
What Zendesk does document clearly is the billing unit: Automated Resolutions.
Automated resolutions are Zendesk’s way of measuring and charging for AI agent outcomes, and Zendesk uses an LLM verification step intended to confirm the issue was satisfactorily resolved without a human agent (automated resolution model).
Zendesk also documents included allowances per agent per month by plan: Team includes 5, Professional (also shown as Growth/Professional in some contexts) includes 10, and Enterprise includes 15 (included allowance table).
For the per-resolution price beyond included allowances, Zendesk's pricing page now lists it on every plan: $1.50 per automated resolution under "committed usage" and $2.00 under pay-as-you-go. Newer accounts are moving to resolution tiers instead, where only verified resolutions draw down a dollar allowance and the tier prices are quoted by sales.
Two more pricing notes that trip teams up in practice:
- Outcome-based pricing means your cost can rise as automation improves—because you’re literally buying more verified resolutions. Predictable from a business-model standpoint, but not always predictable month-to-month on a budget spreadsheet.
- Zendesk also sells add-ons like the Copilot add-on. Zendesk now lists it at $50 per agent per month (billed yearly), and it can only be added to Professional and higher plans.
My AskAI plans start from $199/mo, with additional tickets costing $0.12 each on Pro or $0.10 on Scale. This works out around 8-10x cheaper than Zendesk AI. You can compare your ROI for Zendesk AI vs My AskAI here.
Does Zendesk AI have a free trial?
TL;DR: Zendesk promotes a free trial for AI agents, and because the former Advanced features now come with every Suite plan, the 14-day Suite trial is the self-serve way to test them.
Zendesk’s AI agents marketing page includes a “Start your free trial” call-to-action (AI agents page).
Zendesk’s pricing page FAQ states that a Zendesk Suite trial provides access to features on the Zendesk Suite Professional plan, and suggests contacting Zendesk if you want to trial a specific plan.
The packaging has changed for the better here: AI agents - Advanced is no longer a separate add-on you buy through Sales, because its features now come with every Suite and Support plan. So a standard Suite trial should let you try them.
My AskAI has a 30 day, unlimited free trial. Test every feature to your heart’s content and don’t pay a dime. No credit card required.
Is Zendesk AI worth it?
TL;DR: Zendesk AI is most worth it when you have repeatable, high-volume intents and are willing to invest in knowledge quality, flows, and integrations; it’s less compelling if you need cheap, predictable automation without ongoing configuration work.
Zendesk’s Advanced AI agents is built for a specific type of operation: enough volume that automation matters, enough repeatability that intents can be standardized, and enough willingness to do the work (content + workflows + iteration) to get to high automation.
Zendesk itself points you toward that conclusion by design: Advanced exists to increase automation with tools like the dialogue builder and integration builder, plus deep analytics.
Where teams get burned is expecting “generative AI alone” to hit enterprise-grade automation while staying cheap and simple. Zendesk’s own “road to automation” framing basically admits this: higher automation comes from flows, backend data, and regular QA—not just turning on generative replies.
A practical way to decide quickly is to treat it like a unit economics test:
- Estimate your marginal cost of a human-handled resolution.
- Compare it to your expected automated resolution cost (seats plus automated resolutions, and Copilot if you add it).
- Pilot with a narrow slice of high-volume use cases.
- Watch automated resolution usage closely using Zendesk’s own monitoring tools.
- Scale only if the verified outcomes and customer experience stay strong.
If you need heavy compliance coverage and a mature vendor, Zendesk’s broader trust posture can be a deciding factor.
If your main goal is simply lowering cost with predictable spend, you’ll likely feel the friction of outcome-based pricing and the build/maintain cycle.
And if you are considering alternatives inside Zendesk, we’ve put together a fully reviewed list of Zendesk Advanced AI agent alternatives.
What are the Pros and Cons of the Zendesk Advanced AI agent?
Pros
- Hybrid conversation design: Combines generative AI replies with a dialogue builder for scripted/hybrid workflows, giving you precise control over high-stakes intents alongside open-ended Q&A.
- Deep integration builder: No-code API integration builder lets the AI agent connect to external systems (order lookups, subscription changes) and take real actions, not just quote articles.
- Enterprise-grade security: SOC 2, multiple ISO frameworks, encryption at rest and in transit, SSO/2FA/IP restrictions, and zero data retention on OpenAI endpoints — strong for regulated industries.
Cons
- Expensive and unpredictable pricing: Zendesk lists automated resolutions at $1.50 (committed) or $2.00 (pay-as-you-go) each, plus $50/agent/month for Copilot — costs rise as automation improves.
- Email AI agent restrictions: On email the agent runs one generative procedure per reply, and emails that ask for several procedures, or mix a question with a procedure request, get escalated.
- Heavy setup and maintenance: Users report hitting a "why am I building my 9th flow?" wall — achieving high-volume automation requires substantial build, iteration, and ongoing QA work.
Zendesk Advanced AI Agent
- Brand: Zendesk
- Rating: 4/10
- In a sentence: Rich functionality that is only unlocked by experienced Zendesk users, lower answer quality that comes at very high prices.
If you want a full comparison of My AskAI against Zendesk AI, read one here.
FAQs
What’s the difference between Zendesk AI agents – Essential and AI agents – Advanced?
AI agents - Essential was the baseline AI agent on Suite plans, and AI agents - Advanced was a paid add-on with hybrid conversation flows, API integrations/actions and agentic procedures. Zendesk has since merged the two: the Advanced features now come with every Suite and Support plan, and Essential shuts off on December 10, 2026. See the Advanced add-on description in About the AI agents – Advanced add-on.
What is an “Automated Resolution” in Zendesk AI billing?
An automated resolution is Zendesk’s unit for measuring and billing AI agent usage, intended to represent a conversation resolved by the AI without a human agent, with an LLM verification step to confirm it was satisfactorily resolved. The definition and rules are in About automated resolutions for AI agents.
How much does Zendesk cost per agent?
Zendesk prices seats per agent per month, and AI agent resolutions are billed on top. Billed yearly, Support Team is $19, Suite Team $55, Suite Growth $89 and Suite Professional $115, while Suite Enterprise is quoted by sales.
Monthly billing costs more (Suite Team is $69 and Suite Professional $149). Each plan includes 5 to 15 automated resolutions per agent per month, then $1.50 each committed or $2.00 pay-as-you-go, and Copilot adds $50 per agent on Professional and above.
Which channels can Zendesk AI agents – Advanced run on?
Zendesk states Advanced AI agents can be created across messaging and email channels (Advanced add-on overview). Messaging can include Web Widget, mobile SDK, and channels like WhatsApp and Instagram depending on your setup (automated resolutions documentation).
Does Zendesk AI support voice automation?
Yes. Zendesk's voice AI agents started as an Early Access Program and became generally available in September 2026, running on Zendesk Voice (Talk) with escalation and transcription into Agent Workspace. See Announcing voice AI agents EAP.
What knowledge sources can I import to power Zendesk AI generative replies?
Zendesk supports importing Zendesk/Salesforce/Freshdesk help centers, Confluence, CSV files, and web-crawled pages for Advanced AI agents. See Importing knowledge sources to power generative replies.
Is Zendesk AI “live” connected to my knowledge base?
Partly. Zendesk now searches your help center content live, but external knowledge sources (up to 50) sync about every 24 hours rather than being queried live, and Zendesk warns that too many sources can reduce accuracy and slow down replies. See knowledge import behavior and cautions.
Can Zendesk AI agents – Advanced use search rules to control which knowledge it uses?
Yes. Zendesk supports configuring search rules to filter which knowledge sources (or subsets) the agent should use in different scenarios. See Configuring search rules for knowledge sources.
Which Zendesk AI features summarize tickets, suggest replies and detect sentiment?
Those are agent-assist features in the Copilot add-on, $50 per agent per month on Professional plans and above. Copilot drafts suggested first replies from your macros and help center, summarizes tickets, improves agents' writing and runs intelligent triage, which detects intent, sentiment and language on incoming tickets.
Without the add-on, Professional and higher plans get capped Copilot tools such as ticket summaries and writing tools, at five uses per agent per month.
What’s the difference between dialogues and “agentic AI” procedures in Zendesk?
Zendesk provides dialogues (scripted/hybrid flows) via the dialogue builder, and also documents “AI agents with agentic AI” with generative procedures and listed limitations. Agentic AI procedures now run on messaging, email and voice, with limited formatting/search-rule support in procedures. See About AI agents with agentic AI.
Does Zendesk AI agents – Advanced work the same way for email as for messaging?
Not entirely. On email, the AI agent runs generative procedures only (one per reply), and Zendesk escalates emails that ask for several procedures or mix a knowledge question with a procedure request. See Getting started with AI agents – Advanced.
What AI model does Zendesk AI use—OpenAI, Bedrock, something else?
Zendesk states AI agents use “Generative AI and Zendesk proprietary intent models,” and describes integrations with third-party LLMs either hosted on Zendesk-controlled infrastructure (AWS Bedrock, Azure, or Google Cloud) or via direct API (Zendesk notes OpenAI is currently used via API) with “zero data retention” endpoints. See Generative AI at Zendesk.
How many languages does Zendesk AI support?
Zendesk markets “80+ languages,” but official support details depend on which AI agent feature you’re using. Zendesk also notes transliteration isn’t supported, so customers must write in native scripts. See Languages supported by AI agents – Advanced
Is Zendesk AI compliant and safe for sensitive data?
Zendesk covers AI under its broader trust and compliance program and documents AI-specific behaviors like transcript sanitization for AI agents – Advanced (with a note that 100% PII removal can’t be guaranteed) and vendor restrictions around training on customer data. See data processing in AI agents – Advanced and AI Trust at Zendesk.
Can I trial Zendesk Advanced AI agents without buying it?
Zendesk promotes a free trial CTA on its AI agents page, and its Suite trial FAQ describes access to Suite Professional features. AI agents - Advanced is no longer a separate add-on, because its features now come with every Suite and Support plan, so the Suite trial should cover them. See AI agents page, pricing page, and Advanced add-on overview.
