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.
ConsultNet Blog
It’s Monday morning, and you’re announcing yet another “exciting opportunity for transformation.” A new AI tool rollout. Cloud migration phase three. Another restructuring to “optimize for efficiency.” Your team’s cameras might be on, but their eyes say what they won’t: they’re exhausted.
In a world where software is released hundreds of times a day, most PMOs are still approving projects like it’s 2007. We recently worked with a Fortune 500 CTO whose digital transformation was floundering.
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.
When a nationally recognized health data company underwent multiple mergers and acquisitions, its operations became weighed down by redundant systems and fragmented workflows.
As one of the fastest-growing healthcare data platform companies in the country, the client was in a period of rapid expansion, acquiring new businesses at a record pace.
A leading U.S. financial regulatory organization partnered with ConsultNet to enhance its Continuing Education (CE) Platform, one of the most heavily utilized systems in the financial services industry.
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.
Rushed AI tools and standalone apps are failing at alarming rates—not because the technology isn’t advanced enough, but because they weren’t built collaboratively.
When one of the nation’s largest and most respected credit unions recognized that inconsistent data governance was slowing decision-making and impacting cross-functional collaboration, they launched an ambitious enterprise-wide Data Quality Program.