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Your Nervos AI Board Audit

Below is a representative audit — inefficiencies, risk probabilities, forecasting, bottlenecks, and AI recommendations. Connect NetSuite to run it live on your data in ~60 seconds.

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Savings opportunity

$3.4M

identified across 5 areas

Risk exposure

Moderate

P10 downside 1.2x ROI

Forecast accuracy

94%

on backtested quarters

Bottlenecks

4

flagged for action

Inefficiencies & leakage

Duplicate vendor invoices across 3 subsidiaries

Accounts Payable

$2.1M

14 overlapping vendors with renegotiable Tier-1 terms

Procurement

$640K

Carrying-cost drift vs. demand forecast

Inventory (EMEA)

$410K

Unbilled revenue aging beyond 45 days on 7 contracts

Revenue

$250K

Risk probabilities & forecasting

Monte Carlo Simulation10,000 runs

E[ROI]=iP(si)N(ROIi, σi),σi=max(0.12, 0.18ROIi)E[\text{ROI}] = \sum_i P(s_i)\cdot \mathcal{N}(\text{ROI}_i,\ \sigma_i), \quad \sigma_i = \max(0.12,\ 0.18\,\text{ROI}_i)

P10 · downside

1.2x

P50 · median

2.45x

P90 · upside

4.29x

Expected

2.58x

P(ROI ≥ 1x)

96.7%

Probability distribution (ROI multiple)

Downside sensitivity (impact on expected ROI)

base
±0.53x
bull
±0.41x
bear
±0.1x

90% confidence the outcome lands between 1.2x and 4.29x.

Operational bottlenecks

Procurement cycle time +28% vs. contract SLA (Tier-2 suppliers)

+28%

Month-end close cycle exceeds target by 2.4 days

+2.4d

Manual 3-way match creating AP approval backlog

320 open

AI-generated recommendations

Consolidate 14 vendors → 6

$2.1M

Owner: VP Procurement

Confidence: 94%

Automate 3-way match + exception routing

−9 days DSO

Owner: Controller

Confidence: 88%

Shift EMEA inventory to JIT

$640K

Owner: COO

Confidence: 81%

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Sample figures are illustrative. AI outputs are decision-support, not professional advice.