Z

Zendesk

Subscription CRM software for customer service

Vice President - Global AI-Powered Support

Full-TimeUpdated on 10/2/2026
$289k - $433k/yr+ Performance-based incentives + Equity
Expert
San Francisco, CA, USA+2 moreMore locations: Austin, TX, USA | New York, NY, USA
HybridHybrid global role with approximately 20–25% travel across AMER, EMEA, and APAC.

About the job

Requirements
  • 20+ years of progressive leadership experience in enterprise SaaS, technology, or consulting, including 10+ years leading global, multi-functional teams.
  • Proven experience leading large-scale transformation within complex, enterprise customer support environments.
  • Experience operating and optimizing AI-powered support or service systems at production scale, including resolution, escalation, quality, and feedback mechanisms.
  • Deep expertise leading global, 24/7 technical support organizations serving complex enterprise customers.
  • Direct experience owning or scaling a revenue-generating support or Premier business, including P&L, commercial strategy, and capacity planning.
  • Strong understanding of knowledge operations and how knowledge architecture influences AI resolution quality.
  • Demonstrated success leading organizational transformation, role redesign, reskilling, and workforce evolution.
  • Strong commercial and financial fluency, including NRR, cost-per-resolution, deflection, and support economics.
  • Executive-level influence with the ability to align Product, Engineering, Sales, Success, Renewals, and Finance without relying on formal authority.
  • Hands-on familiarity with Zendesk and AI-enabled support technologies, analytics, and operational intelligence.
Responsibilities
  • Own the performance and evolution of Zendesk’s AI-powered support model across email, messaging, voice, and self-service.
  • Drive autonomous resolution, deflection quality, CSAT, FCR, SLA performance, and cost-per-resolution.
  • Define AI-to-human escalation strategies and seamless handoffs.
  • Establish AI quality, risk, and governance frameworks, including response standards and hallucination mitigation.
  • Build feedback loops that turn resolution failures and escalation patterns into improvements to AI, workflows, and knowledge.
  • Use predictive analytics and operational telemetry to identify emerging support needs, customer risks, and opportunities for proactive resolution.
  • Partner with Product and Engineering to provide production-scale evidence that informs AI capabilities, configuration, governance, and roadmap priorities.
  • Lead a 300+ person global advocate organization delivering 24/7 technical support across segments, channels, and regions.
  • Evolve the organization from volume-based support to complexity-based, specialist-led resolution.
  • Build career paths, competency frameworks, and operating models for an AI-augmented workforce.
  • Maintain standards for customer outcomes, quality, SLA performance, and enterprise escalations.
  • Establish AI-assisted quality and coaching frameworks focused on resolution effectiveness rather than procedural compliance.
  • Design segment-calibrated service models for Commercial and Enterprise customers.
  • Serve as the executive authority for high-sensitivity customer escalations and critical customer moments.
  • Own the strategy, operations, and P&L for Zendesk’s monetized Premier support business.
  • Define differentiated support offerings and value propositions for enterprise customers.
  • Drive revenue growth while maintaining service delivery.
  • Establish pricing, capacity, and commercial operating models with Finance, Sales, Renewals, and Customer Success.
  • Develop outcome-based metrics connecting premium support with adoption, retention, and customer ROI.
  • Equip Sales and Solutions Consulting with validated operational proof points for the enterprise sales motion.
  • Establish Knowledge Operations as a performance-managed function.
  • Create governance for taxonomy, semantic structure, content quality, and freshness.
  • Use AI interaction and escalation data to identify and remediate knowledge gaps.
  • Partner with Product and Engineering to optimize retrieval and AI consumption of knowledge.
  • Lead Zendesk’s internal Center of Excellence using the platform in production to validate capabilities and generate product feedback.
  • Turn operational learnings and measurable results into implementation playbooks and customer-facing proof points.
  • Partner with Product and Engineering to translate customer interaction data into roadmap priorities and systemic product improvements.
  • Work with Customer Success and Renewals to connect support performance to retention and NRR.
  • Partner with Sales to strengthen the commercial value proposition of premium support.
  • Work with Finance to optimize investment across AI and human resolution models and maintain disciplined P&L management.
  • Establish operating cadences, dashboards, KPIs, and accountability mechanisms that drive continuous improvement.
  • Represent Zendesk externally as a practitioner and thought leader in AI-powered CX.
Desired Qualifications
  • Transform global support organizations through AI and automation.
  • Build and scale monetized or premium technical support businesses.
  • Lead AI governance, knowledge operations, or service transformation at enterprise scale.
  • Operate complex technical support environments across cloud, security, developer platforms, or other sophisticated technology ecosystems.
  • Bridge Product, Operations, and Customer Experience to translate customer signals into business and product outcomes.

About the company

Zendesk provides cloud-based customer service and support software that helps businesses manage customer interactions. It offers a suite of tools (ticketing, live chat, analytics) as part of a subscription-based CRM platform designed to streamline support workflows across industries. The product works as a scalable cloud solution: organizations choose pricing tiers, implement ticketing and chat in their support channels, track performance with analytics, and use training and certification resources to maximize use. What sets Zendesk apart is its broad, adaptable platform tailored for companies from startups to enterprises, extensive integrations, and a clear focus on service-first CRM, with a recurring revenue model built on subscriptions. The company’s goal is to help organizations improve customer service operations, boost efficiency, and enhance customer satisfaction and loyalty by making support processes easier to manage.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

San Francisco, California

Founded

2007

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Simplify Jobs

Simplify's Take

What believers are saying

  • September 2026 voice translation opens cross-border support, especially for global commerce and APAC.
  • Specialized Agents promise up to 80% workflow automation, expanding attach rates across existing customers.
  • Rachita Sundar's September 2026 CFO appointment sharpens capital discipline during Zendesk's AI pivot.

What critics are saying

  • ServiceNow and Salesforce are expanding agentic CX, squeezing Zendesk's platform differentiation by 2027.
  • Verified-resolution pricing from January 2026 exposes weak automation if customers compare outcomes transparently.
  • Forethought integration risk remains high; product complexity can slow enterprise rollouts and renewals.

What makes Zendesk unique

  • September 2026 Specialized AI Agents combine industry workflows with custom policies and system actions.
  • March 2026 Forethought acquisition adds self-improving AI agents across chat, email, and voice.
  • Zendesk Contact Center now bundles real-time voice translation, reducing multilingual staffing friction.

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Benefits

Hybrid Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

↑ 1%

1 year growth

↑ 0%

2 year growth

↑ 0%
Yahoo Finance
Sep 29th, 2026
Zendesk appoints Rachita Sundar as CFO, Julie Swinney moves to chief administrative officer

Zendesk has appointed Rachita Sundar as chief financial officer, effective 28 September 2026. Sundar succeeds Julie Swinney, who transitions to chief administrative officer and will oversee the company's People & Places and IT organisations whilst serving as executive sponsor of Zendesk's Employee Service business. Sundar brings over 20 years of experience in finance and business operations at technology companies including Microsoft Azure, HubSpot, and Qualtrics. At Qualtrics, she helped finance and close the company's $6.75 billion acquisition of Press Ganey Forsta. Zendesk CEO Tom Eggemeier said Sundar's combination of financial rigour and operating experience would help the company as it builds towards becoming an AI-focused business.

TMCnet
Sep 29th, 2026
Zendesk Appoints Rachita Sundar as Chief Financial Officer

Zendesk Appoints Rachita Sundar as Chief Financial Officer TMCnet News [September 29, 2026] | / | Zendesk Appoints Rachita Sundar as Chief Financial Officer Zendesk today announced Rachita Sundar has joined the company as Chief Financial Officer, effective September 28, 2026. Sundar succeeds Julie Swinney, who is transitioning to Chief Administrative Officer and executive sponsor of Zendesk's Employee Service business, a growing area of focus for the company. "Rachita brings a rare combination of financial rigor and deep operating experience in technology," said Tom Eggemeier, CEO, Zendesk. "As we build Zendesk into an AI company, that combination matters - smart capital allocation, operating discipline, and responsible scale. Rachita will help ensure every investment we make sharpens our focus on customers and the business." Sundar brings over 20 years of experience leading finance and business operations at technology companies, including Microsoft Azure, HubSpot, and Qualtrics. She began her career as a software engineer before moving into finance, where she built high-performing teams, partnered across functions, and helped businesses scale. At Qualtrics, she helped finance and close the company's $6.75 billion acquisition of Press Ganey Forsta while strengthening its financial and operating processes and helping guide strategic investments that contributed to record profitability and cash flow as the company navigated the shift to AI. "Zendesk is now scaling toward a billion-dollar AI business - n extraordinary opportunity to help shape the future of service," said Sundar. "What drew me here is the strength of its product, the size of the market opportunity and the ambition of this leadership team. As AI reshapes how businesses serve their customers, Zendesk is positioned to lead that change, and I am excited to make the disciplined investments this next phase demands. I look forward to building on the foundation Julie has established and partnering with the team to create long-term value for our customers and employees." In her new role, Swinney will oversee Zendesk's People & Places and IT organizations. The People & Places function will build the talent, culture and experience Zendesk needs going forward; while IT will deliver the secure, scalable technology required to operate as an AI business. Swinney will also serve as executive sponsor of Zendesk's growing Employee Service business, shaping its strategy around the evolving needs of IT, HR and other internal functions. Given her current and former Zendesk leadership roles across IT, People, Finance and Legal, she is uniquely positioned to advance Zendesk's employee service vision for more connected, intelligent employee support across the enterprise. "Julie has been a pivotal partner in shaping Zendesk's future - guiding major acquisitions and integrations, and building a culture of accountability, focus, and operational rigor across the company," said Eggemeier. "Her judgment, integrity, curiosity, and care have made her an invaluable partner to me, our leadership team, our Board, and colleagues across Zendesk. She will bring that same leadership to her new role and next chapter." ABOUT ZENDESK Exceptional service means never having to repeat yourself, whether you are a customer seeking help or an employee looking for answers. Zendesk orchestrates every service experience - wherever work happens - by powering an autonomous service workforce of AI agents, automation, and human expertise so every moment feels continuous, personal, and focused on real resolution. The Zendesk Resolution Platform unifies your workforce into a single system that improves with every interaction. Its discipline is simple: AI is the means, outcomes are the identity and enduring relationships are the result. View source version on businesswire.com: https://www.businesswire.com/news/home/20260929793834/en/ [ Back To TMCnet.com's Homepage] |

Agentmatica
Sep 28th, 2026
Agentmatica vs Zipchat, Gorgias, Tidio, Intercom, Zendesk, Freshdesk and Crisp.

Agentmatica vs Zipchat, Gorgias, Tidio, Intercom, Zendesk, Freshdesk and Crisp. I make Agentmatica, so read this with that in mind. I've tried to be useful anyway: every competitor price below comes from the vendor's own pricing page or help center, checked on 28 September 2026, and where I couldn't confirm something I've said so. Each section links to a longer comparison with the plan-by-plan numbers. The short version is that these seven tools solve different problems. Four of them are helpdesks built around a support team working tickets. Two are chat and messaging tools. Zipchat and Agentmatica are agents that sit on the store and try to sell as well as answer. Which one fits depends mostly on who you want answering first: your team, or an agent on the page. How they charge. Pricing models differ more than the headline numbers do. Intercom, Zendesk and Freshdesk charge per agent seat, then add AI on top: Intercom charges $0.99 per Fin outcome, Zendesk includes a small allowance of automated resolutions per agent and then charges $1.50 to $2.00 each, and Freshdesk gives 500 AI sessions once and then charges $49 per 100. Gorgias charges by ticket volume and adds $0.85 to $1.00 per automated interaction for its AI Agent. The chat tools price differently again. Tidio's Starter plan is $29 a month, and its AI agent, Lyro, is a separate add-on from $39 for 50 AI conversations. Crisp's Mini plan is $45 a month with $5 of AI credits, which Crisp puts at roughly 90 AI conversations. Zipchat starts at $64 a month billed annually for 750 replies. Agentmatica has a free plan with 100 replies, then $29 for 1,000 replies, with no seats and no per-resolution charge. A reply, a conversation, a session and an outcome aren't the same unit, so don't compare the numbers directly. Take last month's chat volume and price it on each model. Zipchat. Zipchat is the closest to what Agentmatica do. It's an AI shopping assistant that recommends products and recovers abandoned carts, and it works across web chat, WhatsApp, Instagram, Messenger and email. Plans run from $64 a month billed annually ($80 monthly) for 750 replies up to $960 a month for 14,000, with a 7-day trial and no free plan. Agentmatica couldn't find a source link shown to the shopper at time of writing. Pick Zipchat if you sell on several messaging channels and have the volume to use 750 or more replies a month. Pick Agentmatica if the website is where your shoppers ask, you want to start free, and you want to coach or take over conversations yourself. Gorgias. Gorgias is a Shopify helpdesk. Its AI Agent includes a Shopping Assistant, on Shopify only, that shows product cards shoppers can add to the cart and can generate single-use discount codes. It also works on email and SMS. The helpdesk starts at $10 a month for 50 tickets, or $40 with AI Agent, and there's a 30-day trial. Your team can review the sources behind each AI response, but Agentmatica couldn't find a source link shown to the shopper. Pick Gorgias if you have a support team working several channels from one inbox and want macros, SLAs and reporting. Pick Agentmatica if you're a smaller team, you're on WooCommerce as well as or instead of Shopify, or you'd rather not pay per resolved conversation. Tidio. Tidio combines live chat, ticketing and visual Flows with Lyro. With a paid Lyro quota, Lyro recommends products as cards and supports add to cart on Shopify, and Flows can send discount codes and recover abandoned carts. The free plan includes 50 Lyro conversations once, and after that Lyro is billed separately from the chat plan. Agentmatica couldn't find a per-answer source link. Pick Tidio if you want chat, ticketing and social messaging in one tool and don't mind buying AI conversations as an add-on. Pick Agentmatica if you want the AI replies included in one plan price and a written set of pairing rules the agent follows. Intercom. Intercom is a full customer service platform with Fin as its AI agent. Fin shows source links inline, which is a real strength, and Fin for ecommerce lets shoppers browse products and add them to the cart. Seats cost $29 to $132 a month billed annually, plus $0.99 per Fin outcome, with a 14-day trial. Pick Intercom if you run a support team that needs a shared inbox, ticketing, SLAs and Fin on email, phone and WhatsApp, and you can budget for seats plus outcomes. Pick Agentmatica if you're owner-led and want the selling and routine support on your website without buying a helpdesk. Zendesk. Zendesk is ticketing and customer service for support organisations. Support Team starts at $19 per agent a month billed annually, and Suite Team at $55 adds AI agents, messaging, live chat and voice. Generative replies can show a Sources link to the help articles used. Zendesk's retail page shows an AI agent offering a product with add to cart, but Agentmatica couldn't find setup details or a Shopify catalog connection at time of writing. Pick Zendesk if you have agents working a queue with SLAs and routing across email, messaging and voice. Pick Agentmatica if your customers mostly ask on the website before they buy and nobody is working a queue full time. Freshdesk. Freshdesk is a helpdesk priced per agent, from $19 a month billed annually, with a 14-day trial and no free plan on its pricing page. Freddy AI Agent can show source links when references are turned on. Agentmatica couldn't find product recommendations or add to cart in Freddy at time of writing. Pick Freshdesk if you're a support team that needs ticket routing, SLA policies and reporting across channels. Pick Agentmatica if you want the chat to sell on Shopify or WooCommerce and you'd rather not pay for seats. Crisp. Crisp is a shared inbox for chat, email, WhatsApp, Instagram and SMS, with an AI agent called Hugo on paid plans. The Free plan has no AI credits, and Mini is $45 a month with about 90 AI conversations of credit. When credits run out, Hugo hands chats to your team unless pay-as-you-go is on. Agentmatica couldn't find product recommendations or a per-answer source link, and its Shopify app focuses on order history and refunds. Pick Crisp if several people share one inbox across channels. Pick Agentmatica if you want the website chat to recommend products and build the cart. Where Agentmatica is behind. Agentmatica only work on your website. There's no WhatsApp, Instagram, Messenger, email or SMS channel, no ticketing, no discount codes and no abandoned-cart campaigns. Product cards, add to cart and checkout links need a Shopify or WooCommerce store. If you run a support team that lives in tickets, a helpdesk will suit you better, and some of them now cite sources and sell products too. Where it's ahead. There's a free plan with no time limit, AI replies are included in every plan, and nothing is priced per seat or per resolution. You can write pairing rules and your free-shipping line in plain sentences, and the agent uses them when it suggests add-ons. You can give it a private instruction in the middle of a live conversation, take over with the agent paused, and hand the chat back. That combination is what Agentmatica built it for: an owner who wants the website to sell without handing over how customers are treated. Try it on your own store first. Agentmatica answers from your pages and catalog, recommends what fits, and builds the cart on Shopify and WooCommerce. Free plan, one script tag, and you can try it in your dashboard before it goes live.

Small Business Trends
Sep 17th, 2026
Zendesk introduces ai-powered Voice Translation for global customer support.

Zendesk introduces ai-powered Voice Translation for global customer support. In a world where customer experience can make or break a business, the need for effective communication has never been more critical. Zendesk has responded to this pressing challenge by introducing Real-Time Voice Translation for its Contact Center, a pioneering feature set to enhance how businesses interact with customers across language barriers. With this innovative tool, small businesses can offer responsive and efficient customer service, broadening their market reach and making communication more intuitive. According to research by Zendesk, voice interactions account for 40% of contact center volume, underscoring the significance of this channel. However, language differences have historically posed hurdles for customer service teams, often complicating staffing and leading to delays in customer support. Small business owners know that offering personalized, timely assistance is vital for retaining customers and building loyalty. The new feature aims to address these challenges head-on, allowing businesses to engage with clients in their preferred languages without the need for dedicated multilingual staff or cumbersome translation processes. "Customers should not have to choose between speaking the language that feels most natural to them and getting the support they need," said Shashi Upadhyay, Zendesk President of Product, Engineering and AI. This comment captures the essence of the new tool: enabling genuine conversation without the constraints of language barriers. Discover more Business startup guide The Real-Time Voice Translation tool is designed to simplify multilingual interactions within customer service teams. Agents can use the feature during live calls to translate conversations in real-time, allowing them to focus on providing solutions rather than worrying about language compatibility. This means customers no longer need to be routed through language-specific queues or handle their inquiries through slower formats like email or SMS when they have urgent requests. Small businesses, often constrained by limited resources and varying demand for language-specific support, will find this feature especially beneficial. The ability to cater to diverse customer bases without needing to hire additional staff will not only reduce operational costs but also enhance customer satisfaction. Fewer delays and miscommunications can lead to higher resolution rates, which are crucial for maintaining a loyal customer base. The flexibility offered by Real-Time Voice Translation allows businesses to adapt to varying customer needs effectively. Agents can toggle the translation feature on or off during calls, enabling a smooth flow of interaction. Additionally, administrators can customize how and where translation services are available, tailoring the experience to their operational demands and language preferences. This configurability can be particularly critical for small businesses looking to manage costs while expanding their service capabilities across regions. Bright prospects come with challenges, however. Implementing new technologies always involves a learning curve, and small business owners must consider how they will integrate this system into their existing operations. Training staff to effectively utilize the translation features and ensuring smooth workflows in this new environment may require initial investment and time. Furthermore, the quality of real-time translations, while promising, will need to be monitored to ensure they uphold the standards of customer service that small businesses strive to deliver. The Real-Time Voice Translation feature is set to roll out in October through a closed Early Access Program, with eligible customers invited to experience its capabilities firsthand. As small businesses continue to navigate a landscape increasingly defined by customer expectations and competition, embracing advancements in communication tools like this will be vital. Discover more Business success stories Business funding resources For those eager to enhance customer satisfaction and operational efficiency while breaking down language barriers, Zendesk's latest offering reflects a significant step forward. By reevaluating communication strategies and adopting innovative solutions, small businesses can ensure that they remain responsive and connected to their diverse clientele. For more details about Real-Time Voice Translation, visit the original announcement here. Image via Google Gemini

iTWire
Sep 14th, 2026
Zendesk just told you what "specialist" actually means.

Zendesk just told you what "specialist" actually means. John Babic | Published 14 Sept 2026 Every vendor in this space likes to say their AI is smart. Almost none of them will tell you what it's actually good at. That's the quiet admission buried under most AI customer service pitches. Usually, a chatbot trained on everything is, in practice, an expert in nothing. It can hold a conversation however it cannot always finish one. Zendesk's latest moves close that gap further, and they do it by picking a fight with the idea that one AI agent should be able to do everything for everyone. First, on September 11, Zendesk introduced Real-Time Voice Translation for Zendesk Contact Centre, bringing AI-powered, two-way translation to live calls. Then, this week, Zendesk went further with Specialised AI Agents which are industry agents built for the work a whole sector has in common, and custom agent's businesses build around their own policies and systems. Together, they are a statement, and generic AI can step aside and watch the magic happen. Voice was the gap everyone quietly ignored Starting with voice, because it's the channel AI kept skipping past. Voice still makes up 40% of contact centre volume, according to Zendesk's own research, and it is the channel where multilingual support is hardest to staff. You can't spin up a language-specific queue overnight, and you can't hire a fluent agent for a language that only spikes in demand twice a year or on the odd occasion. Real-Time Voice Translation is Zendesk's answer: two-way translation built directly into Zendesk Contact Centre, so customers and agents can each speak their own language on the same call, in real time. Agents can turn it on or off mid-call without transferring anyone anywhere, and administrators keep control over which languages are supported, and whether original audio, translated audio, or both get retained. That's a whole lot of power and what AI was meant to help us achieve. "Customers should not have to choose between speaking the language that feels most natural to them and getting the support they need," said Shashi Upadhyay, Zendesk President of Product, Engineering and AI. "When an issue is complex, sensitive, or urgent, people want to be understood, not routed somewhere else." That line matters more than it first sounds. The old workaround for language gaps was routing: transfer the call, find an interpreter, push the customer to email instead because it's slower but at least somebody can read it in their own time or translate it online. Every one of those workarounds is a tax on the customer's patience and the overall customer experience. Real-Time Voice Translation, landing in October for eligible Zendesk Contact Centre Native customers through a closed Early Access Program, is Zendesk betting that one workforce can serve more languages without any of that friction. Specialists, not generalists If voice translation was about removing a barrier, Specialised Agents are about raising the ceiling. Zendesk's pitch is blunt: "The era of generic, one-size-fits-all AI agents is over. The best agents are specialists: deeply grounded in the work, the industry, and the business they serve," said Upadhyay. Industry Agents are the out-of-the-box version of that idea where agents are built for the work an entire industry shares. Zendesk is launching with commerce first, where agents can help customers shop, manage orders, process returns, resolve delivery issues and handle refunds, connected directly into systems like Shopify, Narvar, Stripe and Riskified. From there the sky is the limit but you can easily see this fitting into financial services, media and technology sectors. The Riskified partnership is worth going over. Fraud and policy abuse are the reason a lot of businesses are still nervous about letting AI touch refunds and returns at all. Bringing risk intelligence directly into the workflow so an agent, human or AI, actually knows who it's dealing with is the difference between "automate this" and "automate this safely." Jeff Otto, Riskified's CMO, put it as agents "confidently knowing who they're actually engaging with, creating delightful experiences for good customers while protecting retailers from fraud and abuse losses." Custom Agents are the other half, and arguably the more telling one. Not every workflow is common to a whole industry, most of them are specific to how one business actually runs. The magic sauce if you will. Using Agent Builder, Zendesk's no-code environment, companies can define the job an agent owns, the systems it can touch, the actions it can take, and exactly where a human still must sign off. Customers have already run more than a million Custom Agent executions within seven weeks of launch, with some seeing automated resolution rates jump 10% post-deployment. SodaStream and Tonies are the kind of businesses this is built for where there are high call volumes and a low tolerance for delay. "When a Toniebox isn't working, it's not just a technical issue, it's a toddler waiting," said Lauren Cooper, Tonies' Director of Global Customer Happiness. Nobody wants a generalist bot working through a decision tree while a customer's patience runs out. The ANZ math hasn't changed This is where it circles back to something I keep coming back to when I write about this space: Australian customers are not more patient than anyone else, and the pressure on local businesses to get service right the first time has only gone up. Zendesk's own figures put it plainly, 90% of Australian CX leaders say customers will drop brands that can't resolve issues on first contact. "For Australian businesses, cost of living pressures and changing consumer behaviour are raising the stakes of every customer interaction," said Kellie Hackney, Zendesk's VP for Australia and New Zealand. Industry Agents for commerce, she argues, help meet that bar by combining industry expertise, customer context and connected workflows into a single resolution, rather than a relay race between systems. None of this is Zendesk claiming AI customer service is a solved problem, it isn't, and won't be for a while yet I do not think. But the direction is consistent with everything coming out of Zendesk Relate earlier this year; fewer AI agents pretending to be everything to everyone, and more agents that are built for the job in front of them. Whether that's a customer speaking a different language on a call, or a return that needs both policy and fraud context to resolve properly, the theme is the same. Specific beats generic. Zendesk is betting the next phase of this industry gets won by whoever takes that seriously first.