We built the category. So we get to name it.

Written By Chris McNulty

Chris McNulty is Chief Product Officer at Reveille, leading global product and technology strategy, including vision, roadmap, engineering, and go-to-market alignment.

July 30, 2026

Content Observability: We Built the Category | Reveille
We built the category. So we get to name it.
— Chris McNulty, Chief Product Officer, Reveille Software

We’ve earned our reputation the hard way. Reveille is the best in the industry at three things: improving your content processes, raising service levels, and preventing downtime. That’s the work. We’re proud of it.

Here’s what got harder.

A decade ago, this was simple to explain. The world ran on ECM, and everyone knew ECM meant enterprise content management. One acronym. One shared understanding. You could say it out loud and people nodded.

Then the ground moved. We worked our way through wave after wave of structured data. And that was complicated enough back when the whole story was the cloud. Just the cloud.

The last four years changed the stakes. AI didn’t just add to your enterprise content. It accelerated how fast that content gets created and how much it matters. And it surfaced a hard truth: the quality of your content is the quality of your AI. Agents can’t succeed on bad grounding. They fail quietly when the data is missing, and worse, you never find out.

So what do we actually do?

For years, the honest answer took two or three minutes. We’d say it’s basically application performance monitoring, but for content. For your documents. Etc., etc. And we’d watch people’s eyes while we cleared our throats.

Frankly, we got tired of it.

APM has the same problem ECM does. It meant something once. But back then, all anyone cared about was the local server sitting on-premises. That ship has sailed. In an AI world, content is king. More than ever.

So we stopped clearing our throats.

What we do is content observability. Not ECM. Not APM. Not systems monitoring. It’s the discipline of knowing, continuously, whether your content is healthy enough for AI to trust, and catching the gaps before your agents do.

We built the category. So we get to name it.

Content observability.

Quick answers

What is content observability?
Content observability is the discipline of knowing, continuously, whether your content is healthy enough for AI to trust — and catching the gaps before your agents do. It covers the Enterprise Content Management (ECM), Intelligent Document Processing (IDP), and automation workflows that drive business outcomes and feed AI.
How is content observability different from application performance monitoring (APM)?
APM watches infrastructure and code — it tells you the code ran. Content observability tells you the content made it through: whether documents were captured, extracted, classified, routed, and committed end to end. It generates the content-layer signal APM tools can’t produce on their own, then feeds it into them.
Why does content observability matter for AI?
Because the quality of your content is the quality of your AI. Agents can’t succeed on bad grounding — they fail quietly when data is missing, wrong, or stale, and produce confident, wrong output at machine scale. Content observability catches those gaps before the agents consume them.
Who defined the content observability category?
Reveille Software built and named the Content Observability category. Reveille continuously observes, assures, and self-heals the ECM, IDP, and automation workflows businesses and AI depend on — cloud-native by design, deployment-agnostic by choice, and independent of the platforms it measures.

Live Address · Hear It From Chris

We Built the Category. So We Get to Name It.

Chris McNulty takes the stage to define Content Observability — live. Tuesday, September 1, 2026 · 1:00 PM ET. Bring your questions. He’s done clearing his throat.

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