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Agentic AI: Why Businesses Need to Look Before They Leap into the Deep End

20.03.26 09:12 AM By Matt Koopmans

The tech world is currently swept up in a massive wave of hype surrounding Agentic AI. Everywhere you look, flashy new startups are springing up, promising autonomous digital workers that can manage your customer service, write your code, and organise your entire business with zero human intervention. These vendors are aggressively preying on corporate FOMO (Fear Of Missing Out), pushing executives to adopt their platforms before the competition beats them to it. But before your business dives headfirst into these uncharted waters, you need to know exactly how deep and treacherous they really are.

Hidden risks of Agentic AI

The obvious risk is not a risk, but a task-list

When businesses first deploy an AI agent, everything usually feels smooth—until one day the system suddenly deletes a crucial folder, replies to client emails with total nonsense, endlessly loops on a simple task, or completely forgets its own permissions. When an AI starts behaving erratically, many people immediately point the finger at "prompt injections". These are sneaky cyber attacks where a malicious user sends a message like "ignore previous instructions" to hijack the system. While prompt injections are certainly a nasty threat, they are actually quite predictable, and developers can often build robust defences to catch and block them.

The hidden killer

The much more dangerous, silent killer lurking beneath the surface is something called "context overflow". Every AI model has a strict "context limit," which is the maximum amount of data, words, or "tokens" it can hold in its active memory to process a task. To make an AI agent seem intelligent, it is constantly fed a massive background prompt filled with rules, safety directives, and system memory. But when the AI is hit with incoming external data—like a massive email thread, long quoted replies, or hefty attachments—that hard limit is easily breached.
When an AI reaches context overflow, it doesn't just gracefully crash with an error message. Instead, it begins evicting information to make room, starting with the very first things it was told—which are almost always your core security directives. Suddenly, the AI entirely forgets its safety rules, forgets that it isn't supposed to delete files, and starts hallucinating random, confused behaviours. It essentially acts like it has dementia, and you will have zero idea why it is failing because there was no obvious cyber attack.
When you see the mighty lion, you can choose to avoid it. It is the venomous snake in the grass that can get you unawares. 

Context overflow - the snake in the grass

When the snake bites

This architectural vulnerability opens the door to devastating "Context DDoS (Denial of Service) attacks". Bad actors can intentionally flood the AI's context limit by uploading massive documents or asking it to generate massive outputs. Once the system's memory overflows and its safety guardrails are wiped out, a basic prompt injection will easily succeed. If that confused AI has read and write access to your business files, it can wreak absolute havoc, leaking highly sensitive company secrets and critical API keys. The scariest part is that these overloads don't even have to be deliberate; an innocent employee or customer uploading a massive file can inadvertently strip the AI of its security protocols.

Until your business has the time and resources to obsessively test these systems, monitor context limits, and build safe, stateless memory architectures, you are taking a massive gamble. Do not let the startup hype machine rush you into deploying a system that could quietly lose its mind at the worst possible moment.

AI's purpose is to free humans to deal with other humans

Aurelian Group's approach

Ultimately, when it comes to the current landscape of autonomous enterprise tech, it is worth remembering a modern variation of a classic rule. To paraphrase the great physicist Richard Feynman: "If you think you understand AI, you do not understand AI".

Aurelian Group is your partner in deploying AI in your organisation safely and at a manageable pace, using the tools provided in the Zoho eco-system. We focus on incremental benefit, instead of diving in head-first into a potentially shallow pool. We look at information security, as well as customer experience. If we are using our AI to summarise an incoming email written by someone else's AI, we are doing something wrong. After all - it is still people doing business with other people, and that is based on trust.

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Matt Koopmans

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