Use case

S&OP exception management and control tower.

From the field, AI native workflow redesign of control tower disruption triage process within S&OP Supply Chain function.

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Convolving expertise

A senior Convolving delivery team partnered with the S&OP function for one sprint. Operators from our expert network – with forty combined years inside enterprise S&OP and supply planning – reviewed the redesign at each checkpoint. Forward-deployed engineers built inside the team's planning, transportation, and control-tower stack. One flat fee, artifact out, no retainer creep.

Situation

Today disruption triage runs through email threads and bridge calls. A port closure or supplier outage takes days to map across the affected SKUs and customers.

Control towers exist on slides; in practice planners stitch ERP, TMS, WMS, and supplier feeds by hand. Kinaxis Maestro Agents and Agent Studio report twelve to twenty-three times solve speedups on disruption replan; o9 and Blue Yonder converge on similar agentic exception handling. Gartner sizes the agentic SCM market at fifty-three billion by 2030. The legacy stack reads disruption late and replans by anecdote.

Disruption-to-decision Days Bridge calls and spreadsheet replan
Affected scope view Partial Stitched by hand across systems
Replan speed Hours Per scenario, single threaded
Decision audit Email Outcome lives in inboxes

Click any node to see the activities and tools behind it. Open the canvas in fullscreen for the horizontal view.

Complication

Largest obstacles and inefficiencies.

Days from disruption to decision.

Bridge calls and spreadsheet replans run sequentially. The disruption widens while the planner stitches the picture.

Affected scope lives in five systems.

ERP, TMS, WMS, supplier portals, and risk feeds each see one slice. The planner stitches all five under deadline pressure.

Audit trail lives in email.

Decisions and rationale live in inboxes. The next disruption starts from scratch even when the playbook is the same.

Resolution

The AI-native cycle.

Same five steps. Click any node to see what the redesign does in that step.

Disruption-to-decision Hours ▼ ~80% vs today
Affected scope view Live From partial to full across systems
Replan speed Minutes Kinaxis-band on agentic replan
Decision audit Logged From email thread to one queue
Key changes

What the redesign actually shifts.

Cycle compression

  • Disruption-to-decision moves from days to hours.
  • Replan runs in minutes on agentic engines, not hours single-threaded.
  • Second-order exposure surfaces with first-order.

Decision quality

  • Recommended path arrives with cost, service, and risk scoring.
  • Planner edits in place rather than rebuilds from scratch.
  • Edits feed back into the playbook for next time.

Scope visibility

  • Affected SKUs, lots, customers, and lanes resolve in one view.
  • Data lineage holds across ERP, TMS, WMS, and supplier portals.
  • Anecdote replaces with data.

Audit and control

  • Every decision logs rationale and model version.
  • Post-mortem reads from the trail, not the inbox.
  • Control tower works as a system, not a slide.

Deploy this in your team.

The redesign above ships as a step-by-step playbook. Signal ingestion spec, scope-mapping rule library, replan agent prompts, decision queue schema, and the rollout cadence we use on engagements.

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