Leading oil and gas organizations executing complex projects under tight timelines faced an increasingly competitive and regulated talent landscape
ConsultNet Blog
When a global leader in the energy sector faced growing demand for highly specialized expertise, the stakes couldn’t have been higher.
What can IT leaders learn from pickleball? Discover how strategy, patience, and partnership drive smarter tech decisions and long-term success.
As a firm specializing in heavy process industrial design, they needed engineers who could master rapidly changing technical landscapes that prioritize the right outcome over the easiest path to compliance.
When a statewide government system powering essential public services for thousands of residents each day reached the limits of its decades-old technology, leaders launched an ambitious modernization effort—transforming a 90s-era Delphi application into a modern, scalable, cloud-native platform.
We’re past the “should we adopt AI?” conversation. The question now is whether your organization is ready when the opportunity arrives.
Traditional consulting models are being challenged by the speed of AI. For decades, consulting followed a predictable formula: diagnose the problem, craft the strategy, hand over the deck, and move on. But that model is crumbling. AI doesn’t just change what we recommend. It changes what consulting needs to be.
IT leaders are caught in a bind. Demand for digital transformation is accelerating while access to technical talent is contracting. Budgets are under scrutiny. Timelines are compressing. And recent policy shifts have made that tension impossible to ignore.
Hiring for roles that didn’t exist five years ago is now a reality, not a rarity. AI has fundamentally altered the landscape of work, and with it, the way we think about talent.
Recent changes in U.S. H-1B visa fees are already pushing companies to rethink how they access global tech talent.