Content Strategist
Content Technology & Workflow Management
What You Do Today
Manage the content tech stack — CMS, DAM, SEO tools, analytics platforms. Design workflows that enable efficient content production at scale.
AI That Applies
AI-integrated content workflows that automate publishing, distribution, and performance tracking across the tech stack.
Technologies
How It Works
The system takes the content brief — topic, audience, constraints, and style guidelines — as its starting input. The automation engine executes each step in the process sequence — validating inputs, applying business rules, generating outputs, and routing exceptions to human review queues. The output is a first draft that captures the essential structure and content, ready for human editing and refinement.
What Changes
Content operations become more automated. Publishing, distribution, and basic performance tracking happen without manual intervention.
What Stays
System design thinking. Choosing the right tools, designing efficient workflows, and ensuring the tech stack serves the strategy rather than the other way around.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for content technology & workflow management, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long content technology & workflow management takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your CMO or VP Marketing
“Which steps in this process are fully rule-based with no judgment required?”
They set the AI investment priorities for marketing
your marketing automation admin
“What's the error rate on the manual version, and what would "good enough" look like from an automated version?”
They know what capabilities exist in your current stack that you're not using
a marketing ops peer at another company
“How would we know if AI actually improved content technology & workflow management — what would we measure before and after?”
They've likely piloted tools you haven't tried yet
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.