Teams | Collaboration | Customer Service | Project Management

Every major technology shift follows the same arc: a Cambrian explosion, then consolidation. Divergence always precedes convergence. And when consolidation comes, the organizations that built the right foundation are the ones that benefit from it.

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.

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.

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.

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.

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.

The banking industry is entering an era of sophisticated insider threats, rigorous compliance mandates, and a desperate need for personalized services. Against this backdrop, traditional data isn’t enough. You don’t just need to know what happened; you need to know why it’s happening and what is likely to happen next.

Remote and hybrid teams often see idle time false positives – times when employee monitoring tools mark employees “idle” even though they’re working (for example, listening on a Zoom call). Employee monitoring tools typically flag idle time when there is no keyboard or mouse activity for a set interval.

During closing week, you chase missing time entries, track down unrecorded billable hours, and try to reconcile spreadsheets that were never designed to work together. What should be a structured financial review turns into detective work, tracking back weeks of incomplete logs, correcting misclassified hours, and adjusting project margins at the last minute. The ripple effects go beyond delayed reporting. Revenue recognition becomes unstable because you are billing based on partial records.

You’re searching for a particular document across your company’s enterprise systems. You enter the exact terms from the title into search. It returns nothing — or floods you with irrelevant results — slowing down decisions and productivity.