In the previous article in this series, I laid out the new shape of the Resolution Platform. Resolution sits in the middle. Two flows feed it. The resolution flow handles the customer's question. The learning flow makes the platform better at the next one. This article is about the first flow.
In my introduction to Relate 2026 I described the Resolution Platform as two flows feeding each other. The resolution flow handles a customer's question. The learning flow makes the platform better at handling the next one. The previous article in this series covered the first flow. The Autonom
The previous two articles in this series covered the two sides of the Resolution Platform. AI Agents resolving customer questions. Copilots closing the learning loop. But underneath these processes lies the platform itself. The engine that powers the resolution flow, runs the learning flow, and conn
Most people look at Zendesk, or any other CX platform, and might see it as a standalone environment where their agents interact with customers. And while this might have been true in the early 2000s, it's wrong today. Today, Zendesk functions as a resolution platform. It connects to your conten
Capped usage of AI summaries are now available to all Suite Professional or above customers. This way you can test the feature, see the impact at no additional cost. https://support.zendesk.com/hc/en-us/articles/10497898168090-Announcing-Copilot-AI-ticket-summaries-for-Professional-plans-and-above
Zendesk Admin Copilot turns admins from manual configuration hunters into strategic operators. It surfaces account-specific insights, recommends fixes, and helps execute changes with approval, closing the loop between data, AI, and action.
Manual ticket triage and categorization waste time, delay responses, and limit automation. Zendesk’s AI-powered Intelligent Triage automatically classifies tickets by intent on arrival, enabling faster routing, accurate prioritization, and deeper reporting for smarter support workflows.
Zendesk now creates a ticket for every interaction, unifying AI and human workflows into one ticket throughout the conversation. This might cause duplicates for previous workarounds. The article explains ticket lifecycle changes and how to adapt.
Zendesk helps businesses build AI-ready knowledge bases that power faster, consistent, and personalized customer service. By connecting, governing, and optimizing knowledge, Zendesk enables AI Agents and Agent Copilot to automate routine queries and assist agents for better resolutions at scale.
Conversation Extensions enhance Zendesk AI Agents by embedding custom web views in conversations, enabling interactive UIs for complex tasks like bookings and refunds. They integrate metadata, support context-driven actions, and improve customer experience offering flexible, reusable solutions.
Zendesk is retiring Legacy Custom Objects by July 2026, urging migration to new Custom Objects. The modern version offers improved field types, UI integrations, lookup fields, and better data management. Migration involves mapping, exporting, cleaning, and importing data carefully.
Zendesk’s AI-powered App Builder lets support teams rapidly create custom apps without coding. Integrated seamlessly within Zendesk, it empowers frontline agents and team leads to innovate, streamline workflows, and extend platform capabilities securely and easily.