AI-assisted content operations: from research brief to published report
A busy content team lost hours to research, formatting, publishing and reporting. I designed AI-assisted workflows that handle the repetitive steps while editors keep every decision.
- Client
- Content and marketing team
- My role
- Content operations manager
- Engagement
- Audit, prototype, then scale
Writers spent too long gathering research and building briefs, drafts moved slowly into WordPress, declining pages went unnoticed and weekly reports were assembled by hand.
How I diagnosed it
Before changing anything, I separated the real problem from its symptoms.
Mapped every repetitive step from topic idea to monthly report
Picked low-risk, high-value steps to automate first
Defined where a person must always approve
Set success measures before building anything
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1
Built a research-to-brief workflow that clusters questions by intent and drafts a structured brief for the SEO lead to approve
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2
Connected approved briefs to WordPress drafts with metadata, ready for editorial review
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3
Set up decay alerts that flag pages losing clicks and open a review task
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4
Automated the weekly SEO report with commentary grounded only in the data
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5
Added logging, retries and failure alerts so nothing breaks silently
What I delivered
The concrete assets and systems the team kept using after launch.
- Research-to-brief pipeline
- WordPress draft workflow
- Content decay alerts
- Weekly SEO report
- Content repurposing workflow
- Workflow documentation
How success was measured
Agreed before launch and compared against a baseline, so progress was real, not assumed.
- Brief preparation time
- Draft turnaround and revision rounds
- Time to detect declining pages
- Reporting preparation time and data error rate