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MILL5 Blog

•April 10, 2026•By

Why Managed Services Are Becoming the Default AI Delivery Model

There’s a pattern that repeats itself inside enterprise AI programs that are actually working.  It starts with a project: a well-scoped initiative with defined deliverables, a budget, a timeline, and...
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•April 8, 2026•By

The Cost of Data Fragmentation in Credit Workflows

For credit teams, the limiting factor is no longer access to information. In reality, they are operating with too much of it, scattered across incompatible systems, inconsistent formats, and competing...
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•April 1, 2026•By

Beyond Dipping Toes: Why Financial Firms Don’t Need More AI Tools – They Need a Better Operating Model

The next wave of advantages in wealth and financial services will not come from buying the most AI products. It will come from knowing how to govern, integrate, and run AI inside...
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•March 31, 2026•By

Talking Artificial Intelligence with Richard Crane from MILL5

This article was originally created and published by Alfred Thompson. We are grateful to Alfred for taking the time to speak with Richard Crane and for sharing this thoughtful conversation...
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•March 17, 2026•By

Your AI Initiative Is Failing Because of Data Plumbing – Not the Model

Every enterprise is running an AI pilot. Most will never make it to production. Here’s the architectural reason why – and how to fix it. The pattern is predictable: leadership...
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AI Transformation Is a Workforce Dexterity Play (Not a Model-Selection Project)
•March 10, 2026•By

AI Transformation Is a Workforce Dexterity Play (Not a Model-Selection Project)

Most companies now have access to powerful AI – often through tools they already pay for. Yet results are uneven. The gap is rarely “we don’t have the right model.”...
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