Batch Processing
Process large collections of ServiceNow tickets as controlled batches instead of treating every ticket as an isolated manual operation.
Flagship project · Orchestration & Automation
SNOWLens-Orchestrator: turning ticket analysis into a controlled, repeatable processing workflow.
SNOWLens-Orchestrator is the operational companion to SNOWLens-AI, designed to manage batch-based ticket processing, track execution state, handle interruptions, and provide visibility into large-scale analysis.
The problem
Large-scale analysis needs more than a button that starts a job.
Processing a small number of tickets is straightforward. Processing large batches introduces a different set of engineering problems: progress tracking, failure handling, interruption, recovery, and understanding what has already been completed.
Without an orchestration layer, long-running analysis becomes harder to operate and difficult to recover safely when something goes wrong.
The approach
Treat ticket analysis as an operational workflow.
SNOWLens-Orchestrator separates batch execution and operational control from the intelligence and evaluation capabilities provided by SNOWLens-AI.
Job Orchestration
Coordinate the processing lifecycle from batch creation through ticket execution, completion, failure, and final status.
Resume & Recovery
Support interrupted processing without unnecessarily restarting completed work, making long-running analysis more practical.
Operational Visibility
Expose batch progress, processing state, and operational status so users can understand what is happening during large-scale processing.
Processing lifecycle
From batch creation to controlled completion.
Create a batch
Define a processing batch containing the tickets that need to be analyzed.
Start processing
The orchestrator begins controlled processing of the tickets in the batch.
Track progress
Processing state is maintained so completed, active, pending, and failed work can be distinguished.
Handle interruption
If processing is interrupted, the batch can be resumed instead of unnecessarily repeating completed work.
Complete the batch
The batch reaches a final state once the required ticket processing has completed.
Engineering focus
Built around operational reliability.
The orchestrator is designed to make large-scale processing observable and recoverable rather than treating batch execution as a single opaque operation.
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Batch-oriented processing model
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Ticket-level processing state
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Resume and recovery capability
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Operational batch status
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Controlled processing lifecycle
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Integration with SNOWLens-AI
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Persistent processing state
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Frontend operational controls
What it enables
A more practical way to operate large-scale ticket analysis.
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Make large-scale ticket analysis easier to operate
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Avoid unnecessary reprocessing after interruptions
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Provide visibility into long-running processing
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Separate orchestration concerns from AI evaluation logic
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Create a repeatable processing workflow for SNOWLens-AI
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Give operators clearer control over batch execution
Flagship platform
SNOWLens-Orchestrator provides the operational layer around SNOWLens-AI.
SNOWLens-AI focuses on evidence, policy evaluation, AI reasoning, and ticket intelligence. The orchestrator focuses on processing those tickets as controlled, repeatable batches.