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5-year case study · monitored event

One recurring event. Five years of compounding savings.

soXal has been monitoring a recurring corporate gala for five years — same event, same producer, same venue stack. Each year, AI TD reads what worked the year before and recommends the next move. Year over year, those recommendations compound. Here’s exactly what fired and what it saved.

Year 1

1,280hrs

baseline

Year 1 baseline

soXal ingests the advance, gear sheets, post-mortem. No recommendation fires yet — this is the corpus AI TD will read from in Year 2.

Outcome

$ saved
carbon avoided
est. value

Year 2

1,410hrs

+10% labor

AI TD recommended

Bundle drape install across both adjacent zones · single-truck delivery · pre-stage scenic vendor one day early

Outcome

$ saved
$1,800
carbon avoided
220 kg CO₂
est. value
$4,200

Year 3

1,525hrs

+8% labor

AI TD recommended

Drop the outdoor activation (low ROI per the Year 2 settlement) · auto-call the FOH board op who worked the room last year · auto-flag steward at crew 17 per the CBA

Outcome

$ saved
$3,400
carbon avoided
410 kg CO₂
est. value
$9,800

Year 4

1,690hrs

+11% labor

AI TD recommended

Compress the 3-day install to 2 (carry pre-rig from Year 3) · bundle scenic vendor across tent + lobby · pre-confirm the certified rigger the moment the advance lands

Outcome

$ saved
$5,100
carbon avoided
640 kg CO₂
est. value
$18,400

Year 5

1,820hrs

+8% labor

AI TD recommended

Re-use the Year 3 template wholesale (90% identical year over year) · BidSmith cost forecast came in 4% under actual settlement

Outcome

$ saved
$7,300
carbon avoided
870 kg CO₂
est. value
$31,200

5-year totals — what AI TD compounded

$17,600

direct savings captured

2.1 t CO₂

carbon footprint avoided

+42%

labor hours dispatched

$63,600

est. value of AI TD recs

The producer doesn’t need to remember anything. The corpus does the remembering, AI TD does the recommending, and the savings + the carbon avoidance show up in the settlement. That’s the loop.