SAMDAM helps regulated businesses constrain AI outputs to approved records, preserve protected business facts, and produce evidence suitable for audit, legal, compliance, and executive review.
In regulated operations, an unsupported output isn’t a typo — it’s an audit, legal, or reporting exposure.
Constrained to approved records, with protected business facts preserved and provenance recorded.
Control narratives and evidence assembled from approved records, with provenance recorded for audit and legal.
Approved / restricted / prohibited use-case boundaries — and the controls that actually enforce them.
Answer inbound vendor-risk and diligence requests from a governed, source-linked library.
Reporting constrained to approved figures and facts — defensible when leadership asks for the source.
Whatever the use case, the mechanism is the same: facts are bound to your approved records before any model runs, protected fields are validated, unsupported output is blocked, and an audit record is committed. Recommended first step for Regulated Commercial Teams: Commercial AI Assurance Assessment.
Start with one high-value workflow against approved records — you see governed output, protected-field validation, and an audit trail.