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.
ConsultNet Blog
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.
Cloud costs are attracting unprecedented board-level scrutiny. Overruns slow innovation, undermine profitability, and introduce uncertainty into strategic planning. In my experience, the challenge is rarely just about the technology.
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.
Everyone wants generative AI, but most organizations can’t even access the right data. The data isn’t ready. It’s scattered across silos, inconsistent in format, missing key fields, or owned by teams who can’t even agree on definitions.
Across aerospace, defense, and advanced manufacturing, organizations like Daifuku, BAE Systems, Boeing, and Parker Aerospace operate in environments where precision, compliance, and scalability are critical.
When a nationally recognized online university set out to modernize its cloud ecosystem, leadership knew it wasn’t enough to just migrate systems. Long-term success would require stronger governance, smarter operational processes, and true resiliency across its distributed architecture.
In today’s highly competitive market for IT talent, simply filling open positions is no longer sufficient. The tech industry, rich with opportunities, makes it easy for top talent to find new roles if their current employer isn’t actively investing in retention efforts. This reality emphasizes the need for companies to go beyond recruitment, focusing instead on creating an environment where employees feel valued and motivated to stay.
A Fortune 500 media company partnered with us to drive a large-scale AI transformation aimed at optimizing advertising revenue and streamlining programming rights operations. Facing complex challenges across multiple divisions, the client needed a secure, scalable solution aligned with industry standards. Through a strategic, phased approach—from ideation and business case development to system integration, training, and governance—we delivered an end-to-end AI implementation.