AI hallucinations
A generative model can produce a convincing answer that is incorrect or invented. Clog does not use generated answers for compliance outcomes.
Our approach to AI
Core compliance needs fixed rules.
Generative AI has useful applications. Clog does not use it to interpret practice records or decide compliance outcomes. The core product uses structured workflows, maintained content and fixed rules.
Clog's core product does not send your practice records to a generative AI provider.
How Clog works
The same facts produce the same result.
Clog asks defined questions, records defined outcomes and applies fixed product logic. Staff follow the workflow without writing prompts or checking generated answers. The process has three parts.
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01
Structured workflows
The system asks defined questions, records defined outcomes and keeps the evidence connected to the work your team carried out.
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02
Controlled compliance content
Clog's wording and templates are maintained as product content. Each practice sees the same version until we issue an update.
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03
Fixed rules
Checks, reminders and status calculations follow explicit logic, so the same facts lead to the same result.
Generative AI risks
Why the core product does not use a generative model.
Prompt injection
Text in a document or website can contain instructions that alter an AI system's behaviour. Clog does not ask an AI model to interpret uploaded evidence.
Additional data processing
Clog performs its core functions without sending practice records to an external AI provider. No additional AI provider processes those records.
Unpredictable model changes
Generative models can change when their provider updates them. Clog's fixed rules change only when we update the product logic.
Consistency
You can trace each question and status to a rule.
Clog applies the same rule to the same facts. You can see why it asks for a record and how it calculates a status.
No AI provider receives your practice records for Clog's core compliance processing. Maintained content and fixed rules handle that work inside the product.
This describes the current core product. We will update this page if the data flow or product logic changes.