Observed evidence
A retrieved or user-provided fact is labeled by source and scope. Observation does not automatically establish business relevance.
Evidence methodology
Know what the system knows—and what it does not.
VectorForsight is built around evidence provenance and explicit uncertainty. The goal is not to make every signal look decisive. It is to preserve the difference between an observation, an inference, a recommendation, a human decision and a measured outcome.
Inference
An inference is a reasoned interpretation built from available context. It remains distinct from the source evidence that informed it.
Recommendation
A recommendation is an AI-assisted proposal for human review. It is not a command, verified fact, or authorization to act.
Human decision
Accepting, deferring or rejecting an opportunity is a human-controlled state transition. The AI does not make that decision.
Measurement
A measured change records what was observed after an action. It does not, by itself, prove that the action caused the change.
Revalidation
New evidence or measured outcomes can recommend another review. Revalidation does not silently reverse a prior human decision.
Examples of evidence boundaries
Similar-looking signals are not interchangeable.
- A public company filing can establish that a filing exists; it does not independently prove a competitor relationship or market share.
- A technology release can establish that a release occurred; it does not independently prove dependency, business relevance or impact.
- Business-population statistics can describe firms, establishments or employment; they do not automatically measure competitive density.
- JSON-LD presence can establish that structured-data markup was observed; it does not establish validity, completeness, schema correctness or commerce readiness.
- Missing evidence remains missing. VectorForsight does not fill an evidence gap by relabeling an inference as an observation.
Human control
Decision intelligence, not autonomous business authority.
VectorForsight can organize evidence and preserve a decision history, but strategic recommendation gates remain evidence-bounded. The product does not autonomously spend money, purchase products, approve plans or change opportunity decisions on a user's behalf.