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.
ConsultNet Blog
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.
I’ve seen IT leaders make major investments in new technology only to discover the root problem wasn’t the system at all. The real difference comes when strong talent is paired with smart process design.
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.
As environments grow more complex, traditional I&O teams can’t scale fast enough to keep up. But your infrastructure can. Traditional Infrastructure & Operations (I&O) teams are hitting a wall.
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.