Every hour a marketing team spends waiting on the wrong reviewer, or manually setting up a new document, is an hour that doesn’t go toward strategy or writing.
This article breaks down a content creation workflow designed to get back that time, stage by stage, with real examples of how we build partly-automated content systems for our client projects.
Why “we need more content” isn’t always solved with a higher headcount
An analysis of 17 multinational CPG companies found that while overall company headcount grew by 11.5% over the past year, marketing headcount grew by just 4.3%, meaning marketing is expanding roughly 2.7 times slower than the rest of the business. Content demand isn’t slowing down to match. If anything, it’s accelerating, as more markets, formats and channels get added to the same team’s plate.
Ask a stretched team where they’re realistically struggling, though, and headcount is rarely the honest answer. It’s usually one of three things:
- Nobody knows what to publish next because there’s no strategy tying content to a business goal.
- Content is finished but stuck waiting on the wrong person to review it.
- Hours are lost every week to admin tasks, like setting up a new document or assigning a brief, that a system should be handling automatically.
That third one compounds fast. One recent breakdown of workflow bottlenecks across marketing teams found that a huge amount of lost time simply comes down to people being unsure who needs to sign off on what, with a piece of copy circulating between reviewers who give conflicting notes before anyone realizes the deadline has already slipped. All of that can be solved with a system that assigns ownership before the bottleneck happens, not after.
See also: How to scale content creation without hiring
The five-stage content creation workflow
A content creation workflow that holds up across formats breaks into five stages: strategy, production, review and approval, publishing and analysis.
We highly recommend running this workflow through a dedicated project management tool. A tool gives every stage a single place to live, so a piece of content’s status, owner and deadline are visible without anyone having to ask. At VeraContent, we build most client workflows in Monday.com, though tools like Asana, ClickUp, Airtable or Notion can support a similar setup.
If your content production is smaller, you don’t necessarily need a dedicated platform to get these benefits. Google Workspace Studio, paired with Google Sheets and Gemini AI, can handle a lot of this automation without any code, and the tooling here moves fast enough that it’s worth revisiting every few months.
Here’s where each stage tends to break down, and what’s actually worth automating at each one.
1. Strategy and ideation
Every piece of content should trace back to a business goal. Without that link, teams default to asking “what can we publish this month,” which produces generic content and burns time deciding what to make in the first place. A clear set of content pillars, tied to specific goals, removes most of the guesswork before a single word gets written.
A few simple things worth automating at this stage:
- Idea capture. Create a shared content board to log all new ideas the moment someone raises it to automatically push it into the workflow.
- Auto-tagging. A script or automation that tags a new idea to the right content pillar or market as soon as it’s logged, so nothing sits unsorted waiting for someone to categorize it.
- Brief generation. A trigger that creates a new draft or brief document the moment an idea’s status changes to “approved,” so the handoff into production happens without anyone opening a blank doc themselves.
See also: 6 global marketing strategies to inspire you
2. Production
The most useful role for AI in content production is running the flow around the content, not necessarily the creation: automatically assigning a new brief to the right writer, notifying a designer the moment visuals are needed and pinging an editor as soon as a draft’s status changes to “ready for review.” None of that needs someone manually checking in on where a piece is sitting or who’s supposed to pick it up next.
A few simple things worth automating at this stage:
- Asset sorting. An automation that watches for incoming files and automatically moves raw images, video or audio into the right client or project folder in Google Drive, rather than someone sorting them by hand.
- Status-based handoffs. A trigger that notifies the next person in line, designer, editor or translator, the moment a draft’s status changes, so nobody has to send a manual “it’s your turn” message.
- File naming. An automation that renames files consistently on upload (client, date, format) so nobody’s hunting through a folder of “final_v3_reallyfinal” documents later.
See also: Multilingual content production: A five-step process
You can also use tools like Canva to help repurpose your content; watch our tutorial below with our top hacks on Canva’s repurposing toolkit:
3. Review and approval
This is the single most common bottleneck, especially for regulated industries or content with multiple stakeholders. The most important thing here is assigning clear ownership: a single accountable owner per content type, so “who signs off on this” has one answer instead of five, plus a routing system that sends content to the right reviewer automatically based on market, content type or risk level.
It’s also worth building in an escalation rule. Give routine content a standard 24 to 48-hour review window, and set an automatic nudge, or a backup approver, if it sits untouched past that. That alone catches most of the delays that would otherwise sit until a deadline slips.
A few simple things worth automating at this stage:
- Deadline reminders. An automatic calendar event and chat notification that fires 24 hours before a content deadline, so nobody finds out it’s due today, today.
- Review notifications. An automatic email or message to the right reviewer the moment a draft is ready, instead of a person checking in to ask if anyone’s looked at it yet.
- Escalation nudges. An automatic follow-up to the reviewer, or a backup approver, if a piece sits untouched past its review window.
4. Publishing and distribution
Scheduling, formatting and cross-posting are some of the easiest tasks to automate and some of the most commonly left manual anyway. We recommend using what you’re already set up with rather than adding another tool to the stack.
If your team already lives in Monday.com, native apps like Social Media Manager or Publisher let you schedule social posts directly from the same board your content was produced on. Or, if your design work already runs through Canva, you can schedule straight from there too.
Whatever tool handles scheduling should also feed your reporting, which makes the next stage far less painful.
5. Analysis
Research from McKinsey estimates that up to 22% of a brand marketer’s current activities could be automated within five years, with the biggest gains showing up in campaign monitoring and performance analysis rather than in creative judgment.
Monthly reporting shouldn’t mean someone manually pulling numbers from four different dashboards. A few ways to take that off someone’s plate:
- Pull from the tool that publishes. If scheduling already runs through Monday.com or a similar platform, its native reporting can often generate the baseline numbers automatically, without a separate export step.
- Centralize with an automated connector. Tools like Zapier or Make can pull performance data from each platform into a single spreadsheet on a set schedule, so the raw numbers are ready before anyone sits down to analyze them.
- Let AI draft the first pass. Once the data’s pulled, AI can summarize what changed since last month, freeing up time for a person to focus on what the numbers actually mean for the next round of strategy, rather than compiling them.
One caution here: this isn’t a reason to add a fourth reporting tool. A common budgeting mistake is subscribing to every analytics or AI tool on the market and never quite using any of them properly. If your scheduling tool already has reporting built in, start there before adding anything new.
See also: How to use AI for content analysis: A practical guide for global marketing teams
What this looks like in practice
One VeraContent client was producing around 100 articles a month, roughly 300 a quarter. At that volume, even small admin tasks, like creating a working document for each new article, add up to serious time. The team automated the entire brief-creation process: a shared Google Sheet fed into Zapier, which pulled from the client’s brief and automatically generated the working document and article outline, ready for a writer to pick up.
Nobody on the team spent time formatting a new doc from scratch. That time went instead toward the parts of the process that really needed a person: writing, editing and making sure each piece served the strategy behind it. At lower volumes, this kind of automation isn’t worth building. At this scale, it made a measurable difference in how much the same-sized team could produce without anyone working longer hours.
Here’s a breakdown of how that process looked:
Why building this with a partner tends to work better
A team facing this decision usually has three options: invest in tools, invest in training and process redesign or bring in a partner who already has both built. The first two take real time, time a stretched team doesn’t have to spare while still producing content. A partner who already has the tools, the process and the training in place skips that build phase entirely, leaving the internal team to focus on the part that needs their judgment: deciding whether the content is right.
If you’re not sure where your own workflow is losing time, that’s exactly the kind of audit we run with clients before we build anything. Book a call, and we’ll help you find it.