The platforms your business — and your AI — run on, observed, assured, self-healed.
Reveille Enterprise is built for scale — the foundation for automation, governance, and AI-driven operations. It brings observability, automation, and governance together across distributed Enterprise Content Management (ECM), Intelligent Document Processing (IDP), and Robotic Process Automation (RPA) — the systems AI depends on. The result: continuous Service Level Assurance for both your automation and the AI built on top of it.
Observability, automation, and governance — at enterprise scale.
- ScopeUnified observability across distributed ECM, IDP, and RPA estates
- ArchitectureAgentless — nothing installed on monitored platform servers
- GovernanceRole-based access & ownership models; event accountability for SLA assurance
- Self-Healing90+ automated self-healing actions; proactive remediation, reduced MTTR
- AI & MLML-driven dynamic thresholds (Prophet & Neural Prophet); local MCP for AI agents
- IntegrationsFull connector library — ITSM, AIOps, OTEL, SIEM, data platforms; 170+ REST API methods
- User AnalyticsReal user behavior & experience insight; anomalous-activity detection
- Support & Outcomes24×7 enterprise support with a dedicated TSM · 95% Service Level Assurance attainment
Standard sees the system. Enterprise assures the estate.
A single dashboard is enough for a single environment. A distributed estate of ECM, IDP, and RPA — with AI now reading from it — is not. The platforms can each report 99.99% while a capture queue backs up, a bot silently fails, and an AI agent confidently acts on stale data. Platform SLA is not workflow SLA. Reveille Enterprise closes that gap with observability, automation, and governance working as one.
Distributed estates outgrow single-system visibility
When ECM, IDP, and RPA span teams, regions, and clouds, system-by-system dashboards leave gaps no one owns. Enterprise centralizes visibility, reporting, and accountability across the whole estate — one observability layer, not a dozen consoles.
Silent failures live in the workflow — and AI inherits them
A failure rarely shows up as a CPU spike. It surfaces as a stalled batch, a stuck queue, a missed deadline, or a bot that quietly stopped. Feed that blind spot to an AI agent and it acts on the wrong reality. Enterprise gives AI the operational truth instead.
Governance doesn’t scale on a spreadsheet
At enterprise scale, “who owns this service” and “who answers for this SLA” can’t live in tribal knowledge. Role-based ownership and event accountability make every SLA-impacting event attributable — the independent record audit and risk teams can rely on.
Everything in Standard — then built for scale.
Reveille Standard delivers the dashboards, reporting, and alerting that keep a single environment healthy. Reveille Enterprise adds the governance, automation, integrations, analytics, and AI-readiness a distributed estate needs.
| Capability | Reveille Standard | Reveille Enterprise |
|---|---|---|
| Reporting & Dashboards | Real-time and historical dashboardsStandard operational reporting | Enterprise-wide visibility across distributed environmentsManagement-level and service-oriented reporting |
| Integrations & APIs | Limited connector optionsREST APIs available | Full connector library (ITSM, AIOps, OTEL, data platforms)170+ REST API methods · deep ecosystem integration |
| Governance & Ownership | Basic access controlEvent visibility | Role-based access and ownership modelsEvent accountability for SLA assurance · centralized governance across teams |
| Automation & Self-Healing | Alerting and notification only | 90+ automated self-healing actionsProactive remediation · reduced MTTR and operational noise |
| User Experience Analytics | System-level visibility | Real user behavior and experience insightFaster root cause analysis · anomalous-activity detection |
| AI-Ready Capabilities | Not AI-enabled | ML-driven dynamic thresholds · local MCP support for AI agentsTrusted operational signals for AI-driven operations |
One observability layer. The whole estate.
Reveille Enterprise observes the platforms your business runs on — and everything they depend on — with prebuilt, application-aware coverage rather than generic infrastructure pings. Wizards and templates spin up working monitors in minutes from a library that already understands each platform’s architecture. Zero relearning.
ECM, IDP & RPA
Native coverage for Hyland, ABBYY, OpenText, IBM, Tungsten Automation, Microsoft, UiPath, and Box — the systems your automation and AI run on.
Servers & cloud services
Windows servers, IIS, performance counters, and native cloud services across AWS CloudWatch and S3, Azure Monitor, and Google Cloud.
The data tier
SQL Server, Oracle, and PostgreSQL health, plus MongoDB for high-volume User Analytics retention — size, backups, deadlocks, and throughput.
Actual end-user activity
Patented collectors observe real login, search, retrieve, and document response times — what users actually experience, not synthetic averages.
Automated remediation
Clear stuck queues, reset failed processes, rebalance workloads, and protect throughput for capture, ingestion, indexing, and transformation jobs.
Access and anomalies
FIPS-compliant credential encryption, SSO via SAML 2.0 (Entra ID, Okta, Ping), suspicious-transaction and same-user/different-IP detection.
ITSM, AIOps & SIEM
ServiceNow, Jira, PagerDuty, BigPanda, Splunk, Teams, OpenTelemetry, Azure Sentinel, and Power BI — plus 170+ REST API methods over OAuth 2.
AI-ready operational signal
ML-driven dynamic thresholds via Prophet and Neural Prophet, and local Model Context Protocol support that feeds trusted operational truth to AI agents.
Ownership & reporting
Role-based access and ownership models, event accountability for SLA assurance, and management-level, service-oriented reporting across teams.
Alert. Drill in. Self-heal.
Detection is half the job. Reveille Enterprise closes the loop — from a single threshold breach to a root-cause view in the affected queue, batch, workflow, or service, then a self-healing action that resolves it before it becomes a disruption.
Anomaly detected
ML-driven dynamic thresholds learn normal patterns across the estate and cut alert noise from routine workload variation.
Context-packaged alert
Notifications arrive with the metrics, affected components, and troubleshooting data attached.
Self-healing remediation
When thresholds breach, Reveille can automatically trigger recovery actions — resolving issues before the ticket queue fills.
Enterprise operational KPIs, out of the box.
Prebuilt dashboard metrics turn signals from across the estate into measurable key performance indicators — tracked, charted, and reported through management-level and service-oriented dashboards.
- Server performance, database activity, and capture processing
- Process and system exceptions, license utilization
- Real user performance and experience trends
- Dynamic threshold detection powered by machine learning
See who did what, where — and what was unusual.
Reveille uses patented, passive collectors to observe real user activity across the estate, turning every login, retrieve, search, and document action into auditable, queryable insight — without capturing user passwords.
- Track adoption and end-user response times continuously
- Detect suspicious or abnormal access patterns (insider threat)
- Same-user/different-IP and content-access-breach alerts
- Integrates with Microsoft Defender for Endpoint to speed mean time to resolution
Observability, automation, and governance — converging on assurance.
Platform availability is not workflow availability, and workflow availability is the truth your AI reads from. Reveille Enterprise unites the three disciplines into one outcome — continuous Service Level Assurance — and proves it to the business, the auditor, and the agent.
What Reveille Enterprise customers actually see
Typical results across the Content Observability customer base — with a representative customer story below.
“In the first year of implementation, Reveille saved us approximately $200,000 and continues to reduce trouble tickets generated by our users by 80%. We use the automated monitoring results from Reveille to improve our document capture operations.”
Reveille Enterprise spans every platform your business runs on
One observability layer across every major Enterprise Content Management, Intelligent Document Processing, and automation platform — so each platform’s signal feeds the same console, the same governance, and the same AI-ready operational truth.
Reveille Enterprise, answered
What is Reveille Enterprise?
How is Reveille Enterprise different from Reveille Standard?
What platforms does Reveille Enterprise support?
Does Reveille Enterprise require agents on monitored servers?
How does Reveille Enterprise support AI agents and MCP?
What is self-healing, and how many actions are included?
How does Reveille Enterprise handle governance and ownership?
Can Reveille Enterprise be deployed in the cloud, on-premises, or hybrid?
What integrations does Reveille Enterprise support?
How does Reveille Enterprise secure credentials and access?
Can Reveille Enterprise detect suspicious or abnormal user activity?
How does Reveille Enterprise compare to SolarWinds, Splunk, Datadog, or Nagios?
How do I get started with or upgrade to Reveille Enterprise?
The content layer is where your business runs. Reveille makes sure it holds.
See how Reveille Enterprise keeps the ECM, IDP, and RPA your business and your AI depend on always-on — with the governance, self-healing, and evidence to prove it.