“The Age of Paranoia” is the new reality, where verifying someone is a real human has become as important as evaluating their skills. And IT is getting hit the hardest.
ConsultNet Blog
A SaaS workflow automation company needed to become AI-native to stay competitive, but lacked the senior leadership to execute transformation.
Discover how a national CPG sales and marketing company solved AI tool security challenges across teams. Learn best practices for using AI safely with sensitive client data.
A national nonprofit providing programs and services for individuals with disabilities faced a critical knowledge management problem.
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.
Leading oil and gas organizations executing complex projects under tight timelines faced an increasingly competitive and regulated talent landscape
When a global leader in the energy sector faced growing demand for highly specialized expertise, the stakes couldn’t have been higher.
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.
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.