Editorial
Research Report
Building the Case for Modern Public Sector Messaging
The Gist
- Why do regulated industries like financial services treat DAM governance as non-negotiable? Because the cost of an ungoverned asset — an expired rights license, an outdated disclosure, an unapproved AI-generated file — is a compliance liability, not just a workflow inconvenience.
- What causes a DAM to lose user trust? When searches return outdated or incomplete results, users stop trusting the system and build workarounds — local files, spreadsheets, asking colleagues — which recreates the exact risk governance was supposed to eliminate.
- How should AI fit into a governed content operation? AI should accelerate production while humans verify compliance-critical steps — a model Progressive and Synovus both apply by keeping legal and regulatory sign-off mandatory even on AI-assisted assets.
When the stakes are high enough, good habits stop being optional.
That’s the observation that stayed with me after moderating a recent panel conversation with three practitioners who live inside some of the most demanding content operations environments in any industry:
Jennifer Tyner, Digital Asset Manager at Progressive Insurance; Erich Claxton, Senior Director of Digital Marketing and Experience at Synovus who recently merged with Pinnacle Financial Partners; and my co-author Lindsey Hawkins, Founder and CEO of Blue Trail Digital, who consults across financial services and beyond.
The topic was governed content in financial services, and the numbers that frame it are genuinely sobering. Regulatory fines on financial institutions rose 417% in the first half of 2025 compared with the same period the year prior, totaling $1.23 billion over the period. Progressive alone spends between $2.5 and $3.5 billion a year on advertising. The volume of creative assets behind a marketing program of that size is staggering, and in a regulated environment, a single expired rights license, an outdated disclosure document grabbed from the wrong folder or an AI-generated asset that bypassed the approval chain isn’t a process hiccup. It’s a liability.
But here’s what the conversation kept surfacing: the disciplines that regulated organizations have been forced to build are not unique to regulated organizations. They are the disciplines every content team needs as AI accelerates content velocity, as brand complexity grows, and as the cost of getting it wrong goes up across every industry.
Financial services didn’t invent good Digital Asset Management (DAM) practice. It just couldn’t afford to skip it.
Why Regulated Industries Expose DAM Governance Gaps First
There’s a question Lindsey Hawkins asks when she walks into a new client engagement. She’s listening for a particular phrase, and she hears it often: “Hold on, don’t use that yet. Let me go double-check with so-and-so to make sure that’s the latest version.”
That sentence, as Lindsey put it, is a tell. When people are cross-referencing assets against a person instead of trusting the system, trust in the DAM is gone. And once that trust is broken, she noted, getting people to log back into the DAM is a different problem entirely.
Organizations often think they have a search problem when they actually have a trust problem. Users stop searching when previous searches produced outdated, incomplete or questionable results. Once that happens, people create workarounds. They ask colleagues, save files locally, maintain spreadsheets or build unofficial repositories. The DAM isn't competing against another technology platform; it's competing against habits people developed when the system stopped being reliable.
In financial services, that trust problem isn’t just a friction issue. It’s a compliance exposure. When an asset’s metadata doesn’t carry its rights status, its approval history, or its expiration date, teams compensate by asking around. They recreate work that already exists. They grab versions they’re not sure about because the alternative is a three-day wait. The DAM becomes, as Jennifer Tyner described it, a storage locker rather than a content engine.
Jennifer’s team at Progressive has managed this at a scale that makes the challenge concrete: over 400,000 active assets, more than 30,000 users across 25 unique roles and hundreds of brand portals ensuring only rights-cleared content reaches agents, internal teams and agencies. Stock photo site integration sets asset expiration triggers at the moment of ingestion, so rights tracking isn’t a manual follow-up task. It’s a system behavior.
“The real value comes when the safest and most compliant option is also the easiest one for users.”
The insight Jennifer offered that applies well beyond insurance: “The real value comes when the safest and most compliant option is also the easiest one for users.” That’s not a regulated-industry principle. That’s the design goal for any DAM that wants to be trusted.
The stress test that financial services apply to content governance is simply a more extreme version of what every marketing team faces. Pick 10 assets currently in the market. Can you confirm each one has valid rights, is the current approved version and is within its license terms? In financial services, a no on any of those isn’t a process gap. It’s a potential liability. But run that same check on a consumer goods brand, a healthcare organization or a university’s marketing department, and the results are rarely cleaner. The difference is the consequence of being wrong.
Related Article: DAM Is Dead — Long Live Intelligent Content
Why DAM Governance Requires Ongoing Practice, Not Just Technology
Lindsey Hawkins has a framework she uses with clients, and it’s the one that has stuck with me most from this conversation: DAM is both a noun and a verb.
As a noun, it’s a place, a repository or a system. As a verb, it’s an ongoing practice, a continuous set of decisions about who owns what, how content enters the system, how governance gets enforced and how teams actually adopt and trust what they’ve built. The technology can be excellent, and the practice can still be broken. The two don’t automatically come together.
Lindsey described three gaps she encounters almost everywhere she works: a governance gap, an adoption gap and a process gap. Most organizations have a DAM. What they don’t have, as she put it, is a governed DAM. The controls, roles and upstream decisions aren’t in place. And, she was clear, technology is not the hard part. Aligning the people with the agreed progress is the struggle.
The adoption gap she described connects directly to what she’s written about elsewhere: the invisible heroics that hold fragile content operations together. Somewhere inside most organizations is a person who knows where the approved assets live under the folder structure everyone ignores but still depends on. They know which version the legal team signed off on six months ago, which files should never be reused and how to manually bridge gaps between systems that were never properly integrated. That person is probably exhausted. When that person leaves, the organization suddenly discovers that what looked like a functioning content operation was actually a compensation layer built on top of a broken one.
This is where the financial services frame becomes instructive for everyone. Regulated organizations, particularly those operating with agent networks of tens of thousands of users and years of campaign assets accumulating rights exposures, cannot afford to run on tribal knowledge. The governance has to live in the system, not in someone’s head. Erich made a related point about brand transitions: when his bank went through a significant merger and the whole organization was eager to grab new brand assets and run, the discipline of a single source of truth mattered more than ever, not as a permanent destination, but as a clear answer to the question of what’s current and approved at that moment, in that transition.
The car-left-in-the-garage problem is real across industries. Teams blame the DAM. They say nobody uses it, that it doesn’t work, that people can’t find anything. But when you start asking questions, the underlying picture is often the same: no governance plan, no metadata model with clear ownership, no adoption strategy. Of course, people can’t find anything. Nothing was maintained.
Why DAM Transformation Doesn't End at Go-Live
As Lindsey framed it: “DAM transformation is a journey, not a deployment.” The organizations that treat go-live as the finish line are the ones whose DAMs become content graveyards three years later.
Key Lessons from Financial Services DAM Governance
Editor's note: The following table highlights the most important lessons, actions and strategic considerations emerging from how regulated financial institutions govern content and AI-assisted asset production.
| Key Area | What Happened | Why It Matters | Recommended Action |
|---|---|---|---|
| Regulatory exposure | Fines on financial institutions rose sharply in 2025, and Progressive alone spends billions annually on advertising across hundreds of thousands of assets. | An expired license or unapproved asset isn't a process hiccup at this scale — it's a liability. | Build rights and expiration tracking into ingestion, not into a manual follow-up task. |
| User trust | Teams stop searching the DAM once results are outdated or incomplete, and instead build workarounds. | A DAM that isn't trusted becomes a storage locker, not a content engine. | Audit whether metadata reliably reflects rights status, approval history, and current versions. |
| Governance vs. adoption vs. process gaps | Most organizations have a DAM but not a governed DAM — controls, roles, and ownership are missing. | Technology alone doesn't fix content operations; aligning people to agreed process does. | Name explicit owners for governance, adoption and ongoing maintenance separately. |
| AI and verification | Progressive and Synovus both pair AI-accelerated production with mandatory human verification at compliance-critical points. | AI speeds up existing dysfunction just as much as it speeds up good process. | Define where in the workflow human sign-off is non-negotiable before scaling AI use. |
How AI and Human Verification Work Together in DAM Governance
Here is where the financial services conversation converges with a challenge every DAM practitioner is navigating right now.
The instinct in many organizations is to treat AI and governance as competing priorities. Move fast with AI or slow down for compliance. Let the tools accelerate content creation, or let legal lock everything down. The financial services teams in this conversation have arrived at a different answer, and it’s worth paying attention to.
Jennifer Tyner described Progressive’s operating principle in a single sentence: AI accelerates, humans verify. It sounds simple. It’s not trivial to execute, but it is the right frame. Progressive has a dedicated Responsible AI team that defines which tools are permitted and what the governance framework looks like. Current testing includes display ads and voiceover work. The discipline is that every AI-assisted asset still requires the most current legal and regulatory information before it goes anywhere near a customer. The speed benefit of AI is real. The human verification step is non-negotiable.
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Erich Claxton described the same principle from a different angle. When content adaptation for multiple channels flows from a single governed source of truth, AI becomes an accelerator of consistency rather than a source of new variation risk. The original asset, built correctly, to spec, and approved, propagates into its adaptations through a consistent repeatable pathway. You don’t get a situation where some designer who didn’t know the rules did something different on the fifth channel variation. The governance is built in at the origin point, and AI carries it forward.
This is exactly where Lindsey’s invisible heroics observation meets AI: if your content operations are currently running on a person quietly bridging the gaps, AI doesn’t fix that. It speeds it up. The dysfunction that was manageable when a human was compensating for it becomes faster, more voluminous, and harder to trace when AI joins the workflow without guardrails in place.
FAQ: DAM Governance and AI in Regulated Content Operations
The following FAQ addresses the most common questions raised by this article's discussion of DAM governance, trust, and AI-accelerated content production in regulated industries.
The organizations that are getting this right, across financial services, CPG, life sciences and every other regulated or complexity-heavy environment, share a common posture. They’re not asking whether to use AI. They’re asking what kind of system AI needs to operate inside. That answer requires a governed DAM at the center, a metadata architecture that makes content trustworthy at ingestion, and clear human accountability at the points in the workflow where brand, legal and compliance stakes are highest.
Governance isn’t what slows AI down. It’s what makes AI safe to accelerate.
The financial services practitioners in this conversation didn’t build that infrastructure because they’re particularly visionary. They built it because they had no choice. The rest of us have a choice. But given what’s coming in terms of content velocity, agentic workflows and the pace of AI adoption across marketing and creative teams, that choice is closing.
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