a2a cloud
9 governed workflows

AI agent blueprints for Marketing.

Source-backed marketing workflows that generate reviewable drafts without publishing claims or contacting people autonomously. Each pattern defines the evidence it reads, the artifacts it produces, the authority it may exercise, and the human who makes the consequential decision.

built for

Content, demand generation, product marketing, and brand teams

approval owner

marketing owner

default posture

private · read/propose · human-gated

workflow index

Nine jobs with a crisp acceptance test.

These are implementation patterns, not generic “AI for Marketing” pages. Open one to see its exact trigger, topology, grants, approval boundary, failure modes, and KPI.

015 nodes

Source-backed content brief

Turn an approved topic, audience, and source set into a differentiated brief with claims and evidence mapped explicitly.

measure

approved briefs reaching publication

Open blueprint →
025 nodes

Campaign quality assurance

Check campaign assets for message consistency, required links, approved claims, and channel-specific readiness.

measure

post-launch campaign defects

Open blueprint →
035 nodes

SEO content refresh

Compare a page with current first-party product truth and performance evidence and propose a focused refresh.

measure

qualified organic conversions

Open blueprint →
045 nodes

Brand and claim review

Check draft copy against approved language, product evidence, and prohibited claims before it reaches publication.

measure

unsupported claims published

Open blueprint →
055 nodes

Competitor monitoring brief

Summarize dated, approved public competitor evidence and identify implications without presenting inference as fact.

measure

stale comparison claims

Open blueprint →
065 nodes

Nurture personalization draft

Use consented account and engagement context to draft bounded variants without inferring sensitive characteristics.

measure

approved variant engagement

Open blueprint →
075 nodes

Event content repurposing

Convert an approved transcript and asset set into channel drafts while preserving attribution and source meaning.

measure

approved derivative assets per event

Open blueprint →
085 nodes

Customer story draft

Organize approved customer evidence into a result narrative while keeping attribution and performance claims gated.

measure

customer story approval cycle

Open blueprint →
095 nodes

Localization quality review

Compare localized assets with approved source meaning, protected terms, layout constraints, and locale guidance.

measure

localization defects after publish

Open blueprint →
shared operating model

The workflow is autonomous. The authority is not.

  1. 01

    Attach evidence

    Put only this case’s approved inputs in a scoped workspace.

  2. 02

    Run specialists

    Each bounded node produces an artifact the next node can challenge.

  3. 03

    Stop at proposal

    External writes stay outside the agent’s default authority.

  4. 04

    Record the decision

    Keep the human approval as a decision record beside the signed evidence from the agent run.

Pick one expensive, inspectable job.

Start with real evidence, a named decision owner, and a measurable result. Expand the agent only after the receipt and acceptance test prove the workflow holds.