What 40 Years of Computing Has Taught Us
From mainframes to AI agents: the pattern of technological evolution that's guided our approach to enterprise transformation.
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Insights, tips, and news about AI, technology, and service optimization.
From mainframes to AI agents: the pattern of technological evolution that's guided our approach to enterprise transformation.
Introducing our mission to help service organizations thrive through AI-powered technology solutions.
80% of enterprise AI initiatives fail to reach production. Here's what separates the 20% that succeedβand it's not the technology.
AI that removes humans from decisions isn't smarterβit's riskier. Here's how to design AI systems that augment human judgment instead of replacing it.
You don't have to rebuild everything from scratch. The strangler fig pattern lets you modernize legacy systems incrementallyβwithout the risk of big-bang rewrites.
Not every AI capability needs custom development. Here's how to decide when to build, when to buy, and when to do both.
AI systems accumulate technical debt faster than traditional software. Here's what that debt looks like and how to manage it before it bankrupts your AI initiative.
AI systems introduce new compliance challenges that traditional SOC 2 frameworks weren't designed for. Here's how to maintain compliance while deploying AI.
Your technology is struggling. But is the problem the stack or the skills? Here's how to diagnose correctlyβand avoid expensive mistakes.
Integrating AI into existing enterprise systems is harder than building AI from scratch. Here are the patterns that workβand the anti-patterns that don't.
Deploying AI in healthcare requires navigating HIPAA's complex requirements. Here's what you need to knowβfrom BAAs to breach protocols.
Your AI proof of concept works. Now what? The path from POC to production is where most enterprise AI projects die. Here's how to survive it.