The brief is the most expensive document
your team produces.
Almost no one treats it that way.
I build content operations that make your output consistent, measurable, and scalable, then run it for you using AI tools I develop myself. Most B2B SaaS and eCommerce companies have people who can write. What they're missing is the system behind them. Not an agency that writes for you. Not software you install and forget. Ten years on the publisher side taught me what content needs to do to earn its place. I bring that to the companies I work with.
I ran this audit on my own newsletter first.
The Gentle Meeple: a real Content Operations Audit, 90 days of data, 8 posts, every number verified. Not a sample report, the actual output.
Why most content operations don't work.
Three data points that explain the gap between producing content and producing results.
Ten years. Here's what that looks like.
From translation and editorial to content ops to AI-assisted systems.
What the publisher side teaches you.
Four years at TechRadar Italia and Tom's Hardware, not as a partner but as the publisher deciding which partners made the cut.
"Four years on the publisher side, as the editorial team deciding which brands got covered, not as the brand buying the coverage. That changes how I approach content strategy. I know what makes publishers say yes. And what makes them quietly move on."
"I've been in the editorial meeting where a brand partner gets quietly deprioritized, regardless of payout. Content teams at SaaS companies rarely find out why. The reasons are almost always fixable. But only if you're looking at the editorial logic, not the commission structure."
"I track what converts, adjust when it doesn't, and move quickly when the data is ambiguous. Wrong decisions I can fix. Waiting I can't undo."
First 90 days.
This is what a consulting engagement looks like. I don't arrive to observe. I arrive to work.
- Map your content workflow from brief to publish
- Identify where quality drops and hours disappear
- Understand what the team is actually doing vs. what the process says
- Define the new system: workflows, roles, quality standards
- Build and test the AI pipeline components
- Prototype before committing to full rollout
- Document everything so it runs without me in the room
- Train the team on the new workflows
- First results with clear attribution to changes made
The track record.
Ten years in content, from translation to publisher-side editorial to AI-assisted content operations.
Analytics & performance
Content & CMS
AI & automation
Languages & Education
Human-led content operations, AI-augmented execution.
You set the direction. I run the operation and deliver the output.
AI handles the system. I handle the judgment.
- Map your workflow from brief to publish: find where quality drops and hours disappear
- Community intelligence layer: where your audience lives online and what signals they're sending
- Delivered as a written report with a 90-day action plan
- Ongoing editorial ops leadership without a full-time hire
- Workflow governance, editorial QA, brief templates, performance tracking
- Weekly async check-in + monthly ops report
- Biweekly digest of content opportunities in your sector
- Trending topics, competitor gaps, community signals, search demand shifts
- Delivered as a structured report, ready to act on
Let's talk.
If you're building a content operation and need someone who has run one, let's talk.
Common questions.
If you're considering working together, these are the questions that usually come up first.
What is content operations consulting?
Content operations consulting means auditing how a company produces and manages content (briefs, workflows, review cycles, measurement) and building the infrastructure to make that process consistent, faster, and measurable. It's not about writing content. It's about making the system that produces content work reliably at scale, without depending on any single person to hold it together.
What does a Content Ops Audit include?
A structured diagnosis of your current content workflow: how briefs are written, how content is reviewed, how output is measured, and where hours disappear. The deliverable is a written report with a prioritized gap analysis and a 90-day roadmap. Most audits run 2–3 weeks. The output is a document you can act on immediately, not a slide deck of observations.
What is a fractional content operations manager?
A fractional content operations manager is an experienced operations lead who works with your company part-time, typically 1–3 days per week, without the overhead of a full-time hire. You get the infrastructure built and managed by someone who has run content operations at scale, at a fraction of the cost of a full-time role. The engagement is scoped around specific outcomes, not hours.
How long does an engagement typically take?
The audit phase runs 2–3 weeks. A full build-and-manage engagement is typically structured in 90-day cycles, enough time to see whether the system produces measurable results. Most clients continue beyond the first cycle once the infrastructure is in place. There's no minimum commitment beyond the audit, but the system takes time to show its value.
Who is this for?
SaaS and eCommerce companies that produce content consistently but can't trace it to revenue, and suspect the problem is in the process, not the writing. Typically: teams of 3–15 people, marketing leads who are managing content on top of everything else, and companies that have tried scaling content volume but seen quality drop. If every piece needs a senior person's eyes before it ships, the system is broken.
What's the difference between content ops and content strategy?
Content strategy defines what to produce and why: topics, audience, positioning. Content operations defines how to produce it consistently: workflows, brief standards, review processes, measurement. Most teams have opinions on strategy and almost no infrastructure for operations. The result is strategy that looks good in a doc and breaks the moment it needs to ship at scale. Operations is what makes strategy executable.
How do you handle our content and data when using AI agents?
The agents I use are tools I build and run myself, not third-party software with its own data policy. They operate only on the content and workflows you give me access to, and every output goes through human review before it ships. AI handles the system. I handle the judgment, and the accountability for what goes out under your name.
How do we get started?
Book a 30-minute call. I'll ask you about your current workflow, team structure, and where content feels broken. If there's a fit, I'll send a proposal within 48 hours. The audit is the standard entry point: it's scoped, time-limited, and gives you something concrete whether or not we continue. You can also connect on LinkedIn first if you'd prefer to keep it informal.