Zendesk has launched its Outcome AI Platform and introduced Zendesk Unlimited, a pricing model with unlimited seats.
The launch marks a shift away from per-seat charging for customer service software. Instead, customers set an outcome budget and pay for eligible issues resolved and business work completed.
The platform links AI assistants, specialised AI agents and human teams to handle customer and employee service requests. Zendesk says users can automate up to 84% of service requests and cut resolution times from hours to minutes.
It also includes Open Service Directory, a public directory designed to help personal AI assistants find verified support channels for brands. Businesses can register their channels, decide what information is shared and set when human review is required.
According to Zendesk, Open Service Directory does not access private customer data or carry out service actions. The directory is designed to work alongside other communication protocols used once an assistant connects with a support channel.
Another part of the launch is Zendesk Bridge, which lets companies connect external AI tools and agents to Zendesk service workflows. Administrators can decide which tools may connect, what information they can access and which actions they may take.
Zendesk says every action passing through Bridge is subject to identity checks, permissions, policy controls, human approvals and audit oversight. The system is intended to let companies keep existing workflows rather than rebuild them around a new interface.
The company is also adding what it calls Self-Improving Zendesk, which connects insights and actions across AI agents, human workflows, knowledge systems and quality management. This includes specialised agents for industry-specific and custom tasks, analytics tools, an administrative assistant and an AI agent development tool.
Tom Eggemeier, Chief Executive Officer at Zendesk, said the changes reflect how users approach service interactions. "People don't think about which channels, systems, or departments they need to navigate to interact with an organisation. They simply want help to accomplish what they came to do," Eggemeier said.
"Outcome AI brings together the context and ability to act to help people reach the right outcome quickly, wherever their experience begins. It learns from each result and improves when it falls short. For organisations focused on loyalty and satisfaction, that's the standard," he said.
Zendesk framed the launch against changing consumer behaviour around AI assistants. It cited its own global survey showing that 52% of consumers are comfortable relying on personal AI assistants for everyday tasks, while 63% believe companies will need to redesign customer service to accommodate them.
The same survey found that human support remains important, with 84% of consumers saying it should always be available.
David Hall-Johnston, Chief Technology Officer at Zendesk APAC, linked the shift to current consumer pressures in Australia. "Across Australia, persistent cost-of-living pressures mean consumer expectations are at an all-time high-people simply don't have the time or patience for fragmented service anymore. Consumers are increasingly leaning on personal AI assistants to take control of everyday tasks, and when they engage with a brand, they expect their issue to be resolved end-to-end, not just logged as a ticket. For leaders, this requires a fundamental shift in service. Outcome AI gives organisations the platform they need to unify every customer touchpoint and coordinate complex internal workflows, delivering seamless end-to-end resolutions," Hall-Johnston said.
Pricing shift
The move to unlimited seats comes as software groups face questions from customers about how AI should be priced. Traditional seat-based pricing has become harder to defend as more work is handled by software agents rather than employees.
Zendesk says its outcome-based plans will give customers access to AI features depending on tier, with charges tied to completed work. It evaluates each outcome for quality and completeness so customers can see what counts towards their budget.
Tapan Patel, Research Director for Customer Data, Analytics, and Decisioning at IDC, said the model reflects broader buyer expectations. "The evolution of Zendesk's outcome-based pricing model reflects a shift in how enterprise buyers want to pay for AI," Patel said.
"By tying AI investment directly to verified resolutions and business outcomes rather than traditional seat counts, Zendesk establishes a clear alignment between cost and realised value, providing a differentiator in the customer experience market," he said.
Zendesk also said Open Service Directory is not limited to companies using its software. Early participants named by the company include Betterment, ElevenLabs, Flex, TeamSystem, TBA Auctions, Telekom Payment and Wireless Logic.
Zendesk identified Bridge as an early access product, specialised agents and related tools as generally available, and Open Service Directory as launching soon.