Reliability depends on the agent, not on the AI
ChatGPT, Gemini, Grok, and Claude operate based on probabilities,
they do not function deterministically, and this presents risks that must be managed:
Hallucinations:
Convincing, but fictitious answers.
The AI does not recognize that it is missing data,
it responds with the most probable based on what it has
Black box:
There is no record of why it responded the way it did, nor what sources it consulted.
Impossible to audit
Inconsistency and unpredictability
The same question can generate different answers depending on the day, and it can also generate inappropriate responses for a corporate environment
The AI reasons. The agent evaluates, logs, and controls.
It is recommended to implement four layers to control what data is processed by the AI and what responses reach the user:
Evaluation
Each response is validated against established reliability thresholds before reaching the user
Logging and auditing
Queries, sources, and responses are logged according to your internal policy and current legislation
Guardrails
Explicit rules on what is allowed, what is forbidden, and when AI requires human confirmation
Operational control
Process guidelines are established with predefined workflows and pre-established data sources