The Enterprise AI Stack Has a Trust Problem
The Enterprise AI Stack Has a Trust Problem The Models Improved. Trust Did Not. The AI industry keeps measuring progress in capability. Better models Better reasoning More agents More automation…
The Enterprise AI Stack Has a Trust Problem The Models Improved. Trust Did Not. The AI industry keeps measuring progress in capability. Better models Better reasoning More agents More automation…
AI Slop Happens When AI Loses Reality AI Slop Escaped the Internet The AI industry has a new phrase: “AI slop.” At first, it described the internet. Generated articles. Synthetic…
McKinsey Highlighted the Risk. Most AI Decisions Still Can’t Be Proven There is a difference between producing an answer and being able to stand behind a decision, and that difference…
McKinsey Described the Agent Factory. Most Systems Are Still Just Sequences There is a difference between describing a system and being able to run one, and right now that difference…
McKinsey Is Right: AI Needs Context. Almost No One Has It. There is a moment in every technology cycle where the language settles before the understanding does. We are in…
Financial Crime Modernization is Stalling for a Simple Reason Banks are investing in anti-money laundering (AML) and know-your-customer (KYC) technology, but with critical context fragmented across systems, day-to-day execution still…
Data Isn’t the Problem. Context Is. Enterprises don’t lack data. They are saturated with it: transactions, customer records, behavioral signals, logs, documents and more all accumulated across systems and overtime.…