Our Standard

Responsible AI Statement


Signal Forge measures how AI systems represent businesses. The discipline that makes that measurement worth trusting is the same discipline we apply to our own use of AI.

Human oversight

AI-assisted tools help us collect and organize evidence and prepare documents. They do not decide what we tell a client. Every deliverable is reviewed by a person before it is issued. Responsibility for what a Signal Forge report says rests with Signal Forge, not with a model.

Transparency

We say when AI is involved. Our AI operations assistant, Sara, introduces herself as an AI assistant and never pretends to be human. Our reports name the AI systems measured and the date of measurement. Nothing about our use of AI is hidden behind the curtain.

Evidence first

We measure before we interpret. Our reports separate what was observed from what it might mean and from what we recommend. We label each one and never present an interpretation as an observation.

No fabricated conclusions

Every statement in a Signal Forge deliverable traces back to something we actually measured, on a dated snapshot. If the evidence doesn't support a claim, we don't make it. Where evidence is missing, we say it is missing rather than filling the gap with inference.

No guaranteed outcomes

Signal Forge identifies opportunities, implements changes where appropriate, and measures observed outcomes. Because AI recommendation systems evolve continuously and remain outside the control of any individual organization, no specific recommendation, ranking, visibility, lead generation, or business outcome can be guaranteed.

Systems change — and that's the point

AI systems are updated constantly by the companies that run them. A measurement is a snapshot in time. When a later measurement differs from an earlier one, that difference is the finding, not an error.

Limits we hold ourselves to

Measure first. Interpret second.