Transcript to content campaign
Extract approved claims from a transcript and repurpose them into linked campaign assets.
What this workflow does
Extract approved claims from a transcript and repurpose them into linked campaign assets. It produces a source-linked draft, validates it against policy, and keeps publication or system updates behind an explicit approval.
What you gain
Cited multi-channel content pack
What the AI agent changes
How this worked before
Templates could merge known fields, but they could not understand source documents or adapt the draft to exceptions.
What the AI agent changes
The agent identifies supported claims in an approved transcript, adapts them to each channel, and keeps every draft traceable to the source.
Agent trigger
A reviewed webinar, interview, or podcast transcript is published internally.
Inputs
- Process context: speaker-attributed transcript and usage rights
- Approved policies, ownership, and exception rules
Agent flow
- 1
Assemble the current source material, template, and policy version.
- 2
Draft only claims that can be linked to allowed evidence.
- 3
Prepare claim-level excerpts and channel drafts and mark every unresolved exception.
- 4
Publish or write back only the approved version.
Human decisions
After step 3
The accountable process owner approves claim-level excerpts and channel drafts.
Outcome
- Cited multi-channel content pack
- Evidence, exceptions, and audit trail
Guardrails
- Never publish, send, or post without the named approval.
- Keep templates, policies, and source timestamps visible to the reviewer.
Risks and mitigations
Unsupported claims can enter a customer-facing or regulated record.
Attach evidence to material claims and block approval when citations are missing.
Sources and evidence
Sources establish feasibility or impact. Not every metric comes from an identical implementation.