Practical perspectives on AI, cloud architecture, legacy transformation, and Salesforce — written by the people who solve these problems.
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The most common cause of cost overruns in legacy transformation is not poor planning — it is incomplete knowledge of what the system actually depends on before a single line changes.
Regulatory pressure on AI in financial services and healthcare is accelerating. This is what model documentation, audit trails, and explainability mean in practice.
Traditional cloud cost management was built around reserved instances and rightsizing. Serverless requires a fundamentally different set of practices.
The most expensive Salesforce mistakes happen in the first two weeks — when consultants begin configuring a platform to match a process that only exists in a slide deck.
How static analysis, runtime observation, and network traffic inspection combine to produce a complete and trustworthy dependency map before transformation begins.
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