Teams | Collaboration | Customer Service | Project Management

‍ ‍ Secure messaging for European governments is no longer a niche IT concern. It is a core requirement for operational continuity, legal compliance, and national security. The question for senior decision-makers is not whether to act, but which architecture can meet the full stack of regulatory and threat requirements simultaneously.

The real advantage of using AI comes from teaming up, not just speeding up.

Mergers and acquisitions in 2026 are no longer defined only by financial integration — they are shaped by how quickly employees adapt to organizational change. When teams merge, workflows shift, reporting structures evolve, and productivity patterns fluctuate. Without visibility into these transitions, businesses risk operational slowdowns and employee disengagement.

The modern corporate landscape is currently navigating a fundamental shift in how work is conceptualized, executed, and measured across global boundaries. As organizations transition toward permanent hybrid and remote models, traditional methods of oversight—physical presence and manual check-ins—have proven insufficient for the digital era.

Endava is a leading provider of next-generation technology services with 11,000 full-time employees serving enterprise clients across multiple industries. At a time when many organizations are testing AI in pockets — a chatbot here, a model there — Endava recognized the business imperative of a holistic AI transformation strategy at a company-wide level.

As a cloud architect, you’re going to have to embrace AI as part of your job — unless handcrafted artisan cloud becomes a niche in the future. But this doesn’t mean that you’re going to be left by the wayside. Anybody who has used AI coding tools knows that interesting things can happen when decisions are left up to them. So, that means decision-making should be left up to the people and the code writing to the AI bots … right?