CIRMS GUI Screenshots

Real CIRMS interface views: centralized operational overview, automation, health checks, GL4 AI Data Readiness, GL3 data acquisition and warehouse health, and system reporting.

Real CIRMS interface

Control, monitoring and proactive management.

CIRMS provides operational dashboards that bring together automation, infrastructure health, AI Data Readiness, data acquisition and reporting. These views help technical teams understand what is running, whether registered data is being acquired reliably, where attention is needed, and which reports can support investigation and review. These are real CIRMS GUI captures supplied by TOHOL, not generated mockups.

Captured product state. The Home view identifies CIRMS 4.2.15 (Build 1001). Dates, counts, health states and readiness values are the values visible at capture time; they are not live website data or benchmark claims.

System overview

CIRMS Home — Centralized Operational Overview

The CIRMS Home dashboard provides a consolidated view of the deployed platform, combining product and instance information, available tools and modules, GL3 and GL4 object distribution, system health, AI readiness and recent execution information. It acts as the operational entry point into the CIRMS environment, allowing users to move quickly between Automation, Healthcheck, Monitoring, AI Data, AI Models, AI Agents, Reports and Data Warehouse functions.

Product, build, platform and instance details
RDBMS and business tools and modules
GL3 / GL4 object distribution and readiness indicators
System health, AI-ready objects and execution timing

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CIRMS Automation Command Center showing atom executions, host status, automation activity, execution history and environment breakdown.

GL3 automation

Automation Command Center — Execution and Operational Visibility

The Automation Command Center provides centralized visibility into automated execution across managed environments. It presents execution activity, target hosts, warnings and errors, environment distribution, RDBMS information, version distribution and historical automation activity in one operational view. The dashboard helps teams review execution status, identify failed or problematic tasks and understand how automation is distributed across hosts and environments.

Atom execution history, heartbeat and activity
Host, target-host and environment status
Warnings, errors and execution counts by atom
Build information and RDBMS version distribution

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CIRMS Healthcheck Command Center showing categorized checks, attention levels, overall health score, trends and infrastructure health.

Proactive health monitoring

Healthcheck Command Center — Proactive Monitoring and System Integrity

The Healthcheck Command Center provides a structured view of infrastructure and database health across the managed environment. It summarizes healthcheck results, healthy and unhealthy resources, critical and warning conditions, overall health score and the latest execution status. Detailed healthcheck groups cover database and RDBMS health, configuration, performance and capacity, maintenance and operations, services, and security and access.

Database and RDBMS health assessments
Configuration, performance, capacity and security checks
Critical, warning and total issue counts
Historical health trends and infrastructure status

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CIRMS AI Data Command Center showing AI Data Readiness pipeline stages, row-change counters, acquisition strategies, documents, versions, chunks and vectors.

GL4 AI Data Readiness

AI Data Command Center — AI Data Readiness and Knowledge Preparation

The AI Data Command Center provides visibility into the GL4 AI Data Readiness pipeline, from source registration and metadata processing through curation, document generation, chunking, vectorization, semantic validation and final readiness. It brings together registered-object status, AI-ready and not-ready objects, row-change counters, acquisition strategy, transformation metrics, documents, versions, chunks, vectors and readiness attention indicators.

Stage 0 → 7 AI Data Readiness pipeline
Row-change and transformation counters
Identity, change-detection and acquisition strategies
Documents, versions, chunks, vectors and readiness attention

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CIRMS Data Warehouse Command Center showing acquisition by source, registered objects, load reliability, freshness, storage growth, problem objects, last execution details and recent events.

GL3 data acquisition and warehouse health

Data Warehouse Command Center — Data Acquisition and Operational Health

The Data Warehouse Command Center brings GL3 data acquisition and warehouse health into one operational view. It shows registered versus observed data objects, recent successful and failed loads, and acquisition status by source category, so teams can identify missing coverage and incomplete processing instead of relying on a single headline number.

Reliability over time is as important as one successful run. The dashboard also shows load reliability, informational data-freshness bands, registered-data storage and growth, available CIRMS installation-volume space, problem objects, last-execution details and recent warehouse events. These separate indicators help teams prioritize faults, review changes and understand the limits of the captured data.

Registered object coverage and acquisition status by source category
Successful, partial and failed loads, plus 180-day reliability
Data freshness, registered-data footprint and storage-growth trends
Problem objects, latest execution details and recent warehouse events

Captured on 6 November 2026. Values, counts and health indicators reflect that point in time; they are not live website data or universal deployment benchmarks.

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CIRMS System Reports Command Center with four report categories: Atomized Bots, Matrix and Control Tables, Automation Processes, and Audit and Logging.

GL3 reporting, execution evidence and audit

System Reports Command Center — Operational Reporting and Audit Visibility

The System Reports Command Center is the central entry point to configured CIRMS reports. Rather than showing one completed report, it organizes available reporting into four clear groups: Atomized Bots, Matrix and Control Tables, Automation Processes, and Audit and Logging. This helps operators find the right evidence for a task, configuration review or incident.

Visible report options cover bot execution history and bot-to-host relationships, Matrix configuration, SSIS errors and warnings, server inventory and live-host status, supported database and schema grant/deny/revoke events, Windows-login changes and server error logs. The catalogue supports traceability and investigation; the actual audit coverage depends on the collection and logging configured in each deployment.

Atomized Bot execution, unique-execution and bot-to-host reports
Matrix and control-table configuration reports
Automation-process errors, warnings, inventory and alive hosts
Configured permission, login and error-log audit reports

Captured on 6 November 2026. This image shows available report entries, not the contents of each report or proof that every possible event is collected.

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One operational interface across GL3 and GL4.

The six captures cover the system overview, GL3 automation, infrastructure health, GL4 AI Data Readiness, the Data Warehouse Command Center and the System Reports catalogue. Together they show operational status, data preparation and available reporting paths within CIRMS.

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