Teams | Collaboration | Customer Service | Project Management

Data masking: Limit access to sensitive customer data | What's New

Not everyone needs access to sensitive customer information. Data masking lets admins hide personally identifiable information—like names, email addresses, and phone numbers—from agents in custom and light agent roles. Limiting data visibility by role reduces unnecessary PII exposure, preserves ticket workflows, and protects sensitive information. Zendesk makes customer and employee service better. We build software to meet customer and employee needs, set your team up for success, and keep your business in sync.

Success Story: How NEPC Transformed document management with M-Files

In this video, NEPC’s CTO Devan Dewey explains how the firm automated 13,000 documents per month using M-Files’ metadata-driven document management platform. By integrating M-Files with core client and portfolio data — and Microsoft — NEPC improved efficiency, governance, and client service delivery.

9 Effective Process Improvement Methodologies and How to Choose the Right One

Process improvement is a structured approach to identifying inefficiencies in business workflows and implementing changes that increase efficiency, reduce costs, and improve output quality. It involves analyzing how work currently gets done, finding where time, effort, or resources are wasted, and applying systematic methods to eliminate those inefficiencies.

Kanban Board Workflow Management: Principles, Setup, and Flow Optimization

Kanban is a visual workflow management method that uses boards, columns, and cards to represent work moving through defined stages. Originally developed within Toyota’s manufacturing system in the 1940s, Kanban operates on a pull-based model: new work enters the system only when there is capacity to handle it, preventing overload and maintaining a steady flow of completed tasks.

The true cost of 'Clientfishing'

In 2026, client budgets are shrinking, but expectations are skyrocketing, driven largely by AI. Increasingly, clients are shopping around for the best deal, requesting more pitches, bids, and complex submissions of interest that drain hours of work from already stretched teams. Here we’re sharing brand-new research on the new phenomenon of ‘Clientfishing’, the hidden cost of the pitch economy, and how to use Teamwork.com to manage this.

The Strategic Bridge: Why Integrating Craft.io with Jira is the Ultimate Power Move for Product Leaders

In the modern SaaS landscape, “velocity” is often mistaken for “progress.” Many product organizations fall into the Execution Trap: they are incredibly efficient at shipping features in Jira, but those features fail to move the needle on business KPIs. The disconnect usually happens in the “Air Gap” between the Product Manager’s strategic roadmap and the Developer’s sprint backlog.

Mastering Enterprise Product Governance: The Craft.io + Azure DevOps (ADO) Synergy

In large-scale enterprises, product management isn’t just about one backlog, it’s about managing a sprawling portfolio of products, teams, and dependencies. Azure DevOps (ADO) is the gold standard for these complex engineering environments, offering unmatched control over the dev lifecycle. However, ADO’s strength is also its weakness for Product Leaders. Its focus on “Work Items” and “Areas” can obscure the bigger picture.

Digital Sovereignty in Action: Wire Hosts European Leaders in Brussels

Brussels recently brought together policymakers, cybersecurity experts and industry leaders for a focused discussion on Europe’s digital future. At the center of the conversation was a clear theme: Europe must build its own secure, interoperable and values-driven digital ecosystem rather than replicate Silicon Valley models. Wire hosted the event to create space for an open exchange on digital sovereignty, secure communication and Europe’s responsibility to protect democratic infrastructure.

How engineering leaders can get more from AI code-gen tools

AI code-generation tools promised a revolution in software development. And in many ways, they’ve delivered. Code that once took hours to generate now takes minutes. But the goal isn’t just to code faster; it’s to code well. Your teams need to feed AI coding tools the right context to generate code that works with your existing systems, meets your business requirements, and integrates without expensive rework.