Business
runs on content.
Reveille keeps it running.

Continuous visibility, assurance and optimization of the content and document workflows that drive business outcomes — the ECM, IDP and automation layer that infrastructure and application monitoring don’t measure. Reveille defines and leads this category. Read the full explainer →

AI agents fail less often because the model is wrong than because the content pipeline feeding them is broken — a stalled capture batch, a misclassified document, a workflow stage that never advanced. Reveille observes and assures that pipeline, which is why this is observability for AI rather than observability replaced by AI. The same tests, thresholds and recovery actions that protect an invoice workflow protect the content an agent depends on. Reveille also supports the Model Context Protocol (MCP), so Claude or any MCP-compatible assistant can read monitor status, tests and metrics directly — the content layer answers questions in the tools your team already talks to.

Splunk, Datadog and New Relic watch the infrastructure and the code. They don’t know what a successful OpenText repository check looks like, whether a Hyland process stage advanced, whether an ABBYY OCR job extracted the right fields, or whether a UiPath bot’s classification step actually committed — they can’t generate that signal, because they don’t understand ECM and IDP transaction semantics. Reveille produces the content-layer signal those tools can’t, then feeds it into them.

Twenty products across eight vendor ecosystems: Hyland (OnBase, Alfresco, Content Innovation Cloud, RPA), OpenText (Documentum, Capture, Content Management, InfoArchive), IBM (FileNet, Content Manager OnDemand, Datacap), ABBYY (FlexiCapture, Vantage, Timeline), Tungsten Automation (TotalAgility, Capture, RPA), Microsoft 365 and SharePoint, UiPath, and Box Content Cloud. Each platform ships with its own pre-built test library and dashboard metrics.

Yes. As a zero footprint management application, Reveille does not change the state of, or maintain a persistent connection to, the target ECM or intelligent automation system. Reveille User Analytics captures traffic passively and out of band — not a “man-in-the-middle” technique — and no user passwords are captured.

No. Most customers run Reveille as the content-aware endpoint that feeds the toolset they already have. Native connectors include Splunk, Datadog, BigPanda, ServiceNow, PagerDuty, AWS CloudWatch, Azure Monitor, Azure Sentinel and OpenTelemetry-compliant tooling such as Honeycomb and New Relic. Your existing dashboards get richer, not displaced.

Reveille includes a remediation component that completes recovery actions on the errors it detects — restarting a Windows service or process, retriggering a capture batch step, starting or stopping a cloud instance, disabling a user after suspicious access. Each action runs in automatic, conditional or audit-only mode, so you decide how much it does without you.

On Windows Server, on premises or in the cloud — AWS EC2, Microsoft Azure or Google Compute Platform — deployed centrally or distributed, in any combination. Reveille on premises with your content platform in the cloud, or the reverse, both work.