Enterprise AI has a memory problem, but businesses have the answer
Businesses, not just developers, hold the key to better AI memory
by https://www.techradar.com/author/john-newton · TechRadarOpinion By John Newton Published 24 September 2026
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Artificial intelligence (AI) is like a genius with no memory of you. It has plenty of brain power, but unless context is handed to it directly, it knows nothing about your business, your customers, or the decisions that shaped how you operate today.
And solving that memory problem is quickly becoming a major barrier to enterprise AI deployment today.
Much of the current conversation about AI's limitations centers on the models themselves and their evolution toward bigger context windows, better reasoning, or longer memory. But that framing misses something important.
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Chief Innovation Strategist at Hyland.
Enterprises don't need to wait for the next model breakthrough to solve this problem. They already have what they need sitting inside their own organizations: decades of content, decisions, and institutional context that most AI systems never see.
Every enterprise has a vast, largely untapped record of how it actually operates in the contracts negotiated, claims resolved, cases handled, decisions made and revisited. This is the accumulated context that makes an organization's judgment distinct from a general-purpose LLM. Yet in most companies, this information sits fragmented across systems, buried in unstructured formats, or locked away with no clear path for AI to reach it.
That is the gap that needs closing before AI automation can scale responsibly. Not a smarter model, but a more complete memory built from an organization's own history rather than a general-purpose training set.
Think of this as "business memory": the nervous system connecting what a company already knows to what it wants AI to help it do next, carrying context to wherever a decision needs to be made.
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