Teams | Collaboration | Customer Service | Project Management

The following trends outline how customer experience and customer success will evolve in 2026, as organizations combine AI-driven scale with human expertise, reliable execution, and trust.

After several years of enthusiasm, 2026 will mark a turning point where organizations shift decisively from AI pilots to real, measurable outcomes. Leaders will demand production-ready implementations that deliver tangible ROI, reduce friction in workflows, and improve decision-making. This transition will bring both excitement and disillusionment: some of the hype will meet reality, and not every AI promise will stand up under enterprise scrutiny. But this is also where genuine innovation happens.

Across critical national infrastructure, defense, and public administration, security has traditionally been applied late in the process. Organizations focus on protecting the systems where data resides, the networks through which it travels, and the frameworks that govern finalized assets. However, a fundamental shift in the threat landscape has revealed a systemic blind spot: the pre-classification layer.

If you’ve spent any time in Zendesk Explore, you have probably run into the same limitation as most support teams. The standard metrics are useful, but they only tell part of the story. Ticket volume, first reply time, resolution time, CSAT. They are a starting point, not the full picture. As soon as you want to dig into how your team is performing against SLAs, backlog, workload, or automation, you need something more tailored to how your support operation works.

We're starting 2026 up and running with a fresh slate of product updates. This month's roundup includes a long-awaited Timeline view, clearer planning capabilities across the platform, and new visibility enhancements to Desk. Let's get to it!

If you’re weighing up whether to build your own KPI dashboard or buy one, the decision probably feels more complicated than it did a few years ago. Modern APIs are easier to work with. Charting libraries are more prolific and fancier. AI tools can generate working dashboards in minutes. On the surface, the case for building dashboards from scratch has never looked stronger. In practice, the trade-offs have not changed as much as the tools have.

European government agencies face critical compliance challenges using cloud-hosted Slack due to US CLOUD Act jurisdiction over data controlled by American platforms. The key distinction: the issue is not the software itself, but who controls the data. This guide defines what a sovereign communication platform is, presents the leading compliant alternatives: Rocket.Chat, Mattermost, and Element.

You don’t need another AI tool to test. You need to know which one actually works vs. what’s hype.