🛑 AI is not a substitute for capturing domain knowledge.
They are different.
They serve different purposes.
Confusing them is expensive.
AI learns patterns from data.
It does not capture why your best people decide the way they do.
💡 Domain knowledge lives everywhere in your organization:
• The underwriter applying a 47-parameter risk scoring model to approve or decline
• The salesperson following pricing rules, discount thresholds, and eligibility conditions per segment
• The product configurator determining valid combinations of components based on constraints and dependencies
• The claims handler applying policy rules, coverage conditions, and exception handling step by step
That is institutional domain knowledge.
It lives in their heads.
And when they leave, it leaves with them.
AI trained on their outputs gets the surface.
Not the explicit rules, conditions, and logic underneath.
… Because a model that mimics behavior is not the same as capturing the logic behind it.
… Because absorbing patterns is not the same as making knowledge explicit, transparent, and enforceable.
Most organizations document processes.
Some now use AI to generate answers and automate processes.
💥 Very few have invested in capturing the domain knowledge as a governed, operational asset.
That is the gap.
That is your core differentiation.
And AI makes it more urgent, not less.
👉 Read more at https://lnkd.in/g6-P6JED
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Published May 8th, 2026 at 07:30 am
