Perception
You've been at this a while; mastered the tech (CMS, MAP, CRM, etc.), improved workflows, documented processes, and contribute more than just articles with catchy headlines. You've earned the next level title. Maybe even a full promotion.
Reality
Sure, you’ve done a lot; ticked a lot of “to do” boxes, but what’s really changed? The lens of operational maturity is often overly rosy, with teams overestimating where they are versus where they really should be.
This happens because maturity almost always gets measured by what exists, not by what functions. Sure, you have a workflows, but nobody follows them. And you have governance, but no one enforces it. You might even have a taxonomy, but three different teams tag things four different ways. The artifacts of maturity are present, but the corresponding (and necessary) behaviors are not.
That gap between artifact and behavior is where operations live. And it's why tech investments (like in AI) aren't returning what you expected.
Why It Matters
- Investment gets mis-allocated. Teams thinking they're advanced buy tools built for advanced operations. Then the tools don't work, and everyone blames the vendor.
- AI amplifies the gaps. Sophisticated AI capabilities need core content operations systems to support and advance them. So when the foundation is missing or unstable, it becomes obvious quickly.
- Overconfidence is expensive. Leaders who accurately assess their operations move faster and show more positive business impact than those who don't.
What Most Teams Get Wrong
- Measuring maturity by what's documented instead of what's practiced.
- Confusing tool sophistication with operational sophistication.
- Skipping the diagnostic before adding/changing tech as the solution to <insert marketing and or content problem here>.
What to Do Instead
- Audit and assess behavior, not artifacts. Don't ask "do we have governance?". Ask "when was the last time it was enforced?".
- Audit and assess the work, not the process. Look at 20 pieces of recently published content and score them for consistency, findability, and reuse. That's actual maturity score.
- Build the foundation, then buy the software (if needed). Advanced tools injected into nascent or intermediate operations is likely to cause more (expensive) issues than it solves.
Try this with your team: Rate your content operations from 0 (non-existent) to 5 (excellent) across four dimensions:
- Content structure
- Metadata governance
- Workflow ownership, and
- Measurement.
Then ask three people on your team to score it independently. If the scores don’t match, your problem isn’t maturity; it’s that there isn’t agreement on what you’re measuring and how.
The Seventh Bear Take
The research we're finishing this year has confirmed what we suspected: the gap between perceived and actual maturity is one of the biggest predictors of whether AI investment pays off. The more accurate the self-assessment, the better teams do at making the decisions on what to build, what to buy, and what to leave alone.
If you want to see the diagnostic framework before we publish the full report, get in touch. We're gathering data through the end of the summer.
Deeper Dive
Want more on this topic? Check out: Bear Essentials: Your Metadata Strategy Isn't Missing. It Never Existed.