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Catastrophic Factory Disruption & Multi Site Work Order Resequencing

A major industrial valve and actuator manufacturer with 5 plants, experiencing a major structural fire at Plant 2 that disabled the main heat treatment and machining bay for 60 days.

Runs onSankalp
stranded production orders successfully completed and delivered
91%stranded production orders successfully completed and delivered
complete multi plant disaster recovery replanning executed
4 hourscomplete multi plant disaster recovery replanning executed

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

  • Plant 2 had 320 open customer work orders worth $42M in progress, representing 40% of the company quarterly revenue commitments.
  • Operations teams were overwhelmed, spending 5 days manually sorting through paper travelers to identify stranded job stages.
  • Competitors prepared to capture market share if customer orders were canceled or delayed by months.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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1

Instant Facility Lockout & WIP Inventory Auditing

Sankalp registers the full facility outage and audits the status and completion percentage of all 320 active work orders.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

  • 91% of stranded production orders successfully completed and delivered within revised customer SLA windows.
  • Complete multi plant disaster recovery replanning executed in 4 hours rather than weeks of manual coordination.
  • Retained 100% of top tier customer accounts despite a catastrophic 60 day single plant outage.

Capabilities this relies on

  • system connectors
  • forecasting
  • constraint solving
  • scenario simulation
  • alert routing
  • human approval

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