Intelligence that speaks
infrastructure.

Prepare operational knowledge as a searchable index. At runtime, combine relevant retrieved material with a question and current infrastructure evidence to investigate likely causes and recommend next steps. Knowledge preparation and runtime inference are separate processes.

1. Sources. Select relevant runbooks, standard operating procedures, vendor documentation and incident history within the agreed knowledge scope.
2. Curate. Prepare the selected material for the configured corpus. Knowledge ownership, permitted content and the preparation process are defined for the deployment.
3. Index. Create or update the searchable knowledge index through the configured preparation pipeline. This prepares retrieval context; it does not depict model training or an instant model update.
4. Question. Receive the operational question with relevant current telemetry, topology and configuration evidence from configured sources. These inputs belong to this runtime request.
5. Retrieve. Look up relevant material from the prepared knowledge index for the current question. Runtime evidence does not flow into an automatic corpus or model update.
6. Reason. Use the configured infrastructure reasoning model with current evidence and retrieved operational knowledge to investigate likely causes. The quality and coverage of the available context constrain the result.
7. Recommend. Produce infrastructure guidance or a proposed next step grounded in the available evidence and procedures. A recommendation is not permission to execute it.
8. Handoff. Pass guidance to the configured iFabric or ITSM workflow. The deployment’s authorization system and customer or partner execution tools govern any consequential action; execution is outside this reasoning diagram.

This is an illustrative architecture, not a live product demonstration or customer result. The knowledge-preparation band and runtime band are separate: current telemetry supplies request context, not instant model retraining. The prepared-index connection represents retrieval access rather than a fresh preparation cycle for every question. Define corpus ownership, model configuration, evidence sources, access rules and workflow integrations for the environment. No particular model version, corpus size or reasoning accuracy is implied. Review for insufficient context is an illustrative proposed exception flow to confirm in deployment scope. Animation timing is illustrative; repetition restarts the explanation, not an operational action.

Views

Live reasoning. A question and current infrastructure evidence enter runtime retrieval. Relevant prepared knowledge grounds the reasoning and resulting recommendation. Guidance reaches a configured workflow, where any consequential action still requires authorization. This path does not retrain the model or update the knowledge corpus.

Knowledge preparation. Selected runbooks, documentation and incident history are prepared as a scoped corpus and searchable index through the configured knowledge pipeline. This process is separate from a live request and ends before runtime inference; it does not depict a model-training cycle.

Insufficient context. The available runtime evidence and retrieved context are insufficient to support a next step. This illustrative review path ends with an operator gathering or checking context. It does not continue to workflow handoff or execution. Confirm this exception handling in the deployment scope; it is not a claim of confirmed native behavior.