OpenText Internet of Things Platform - Glean Integration and Automation

Common Integration Use Cases Between OpenText Internet of Things Platform and Glean

1. IoT Alert Search and Knowledge Retrieval

Data flow: OpenText Internet of Things Platform ? Glean

When sensors detect abnormal temperature, vibration, pressure, or equipment downtime, OpenText Internet of Things Platform can publish the alert details, asset ID, location, and event history into Glean. Operations teams can then search the alert in Glean and instantly find related SOPs, maintenance manuals, prior incident reports, and troubleshooting notes.

Business value: Reduces time spent locating the right procedure during incidents and improves first-time resolution for plant and field teams.

2. Predictive Maintenance Knowledge Hub

Data flow: OpenText Internet of Things Platform ? Glean

IoT telemetry such as vibration trends, runtime hours, and fault codes can be indexed in Glean alongside maintenance playbooks, OEM documentation, and engineering recommendations. Maintenance planners and technicians can search by asset, symptom, or fault pattern to identify likely failure causes and recommended actions.

Business value: Supports proactive maintenance decisions and helps teams act before equipment failure causes production loss.

3. Incident Collaboration for Operations Teams

Data flow: Bi-directional

OpenText Internet of Things Platform can send critical incident summaries to Glean, while Glean can surface relevant documents, past tickets, and expert contacts back to operations users. For example, when a production line sensor triggers an outage alert, Glean can provide the maintenance team with the most relevant historical cases and escalation steps.

Business value: Improves cross-functional coordination between operations, engineering, and support teams during live incidents.

4. Asset-Specific Operational Intelligence

Data flow: OpenText Internet of Things Platform ? Glean

Each connected asset can have a searchable knowledge profile in Glean that combines live IoT status with static enterprise content such as asset manuals, warranty terms, service contracts, and inspection records. Users can search an asset tag or serial number and see both current condition and supporting documentation in one place.

Business value: Gives field service, reliability, and procurement teams a single view of asset context for faster decisions.

5. Root Cause Analysis Acceleration

Data flow: OpenText Internet of Things Platform ? Glean

IoT event streams, alarms, and anomaly patterns can be indexed in Glean and linked to engineering change logs, quality reports, and prior root cause analyses. Analysts can search recurring fault signatures and quickly compare them against historical investigations and corrective actions.

Business value: Shortens root cause analysis cycles and helps prevent repeat failures across plants or fleets.

6. Technician Self-Service Support

Data flow: OpenText Internet of Things Platform ? Glean

When a technician receives a device alert from OpenText Internet of Things Platform, Glean can recommend relevant troubleshooting guides, training materials, and internal expert articles based on the device type and error code. This enables self-service resolution without waiting for senior engineering support.

Business value: Lowers support burden on subject matter experts and improves technician productivity in the field.

7. Compliance and Audit Evidence Retrieval

Data flow: OpenText Internet of Things Platform ? Glean

IoT-generated logs, calibration records, environmental readings, and exception events can be searchable in Glean alongside compliance policies and audit checklists. Quality and compliance teams can quickly retrieve evidence for inspections, incident reviews, and regulatory audits.

Business value: Reduces audit preparation time and improves traceability of operational events.

8. Continuous Improvement and Lessons Learned Sharing

Data flow: Bi-directional

OpenText Internet of Things Platform provides operational data on recurring issues, while Glean stores post-incident reviews, improvement actions, and engineering recommendations. Teams can search by issue type or asset class to identify patterns and share lessons learned across sites, shifts, and business units.

Business value: Helps organizations standardize best practices and drive measurable operational improvement over time.