T0 · SysAdminCross-Module⭐ Triple Impact

Cloud Discovery Session — AI Finds Hidden Patterns

“Let the cloud AI analyze 90 days of data and tell you what you've been missing.”
📈 Increase Revenue💰 Lower Expense⚡ Improve Efficiency
Gemini 2.5 Pro Batch MiningGranger Causality TestingPII Redaction LayerHuman-in-the-Loop Validation
Scenario Walkthrough

How It Works

1
T0 initiates a discovery session from /playbooks/discovery.
2
PII-redacted summaries are sent to Gemini Ultra.
3
The cloud model returns: 3 proposed correlation rules, 2 new playbook templates, 1 suggested modification.
4
Each proposal enters the Human-in-the-Loop approval queue with dry-run results.
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Admin

IT Administrator (T0)

📱 See It In Action

Real WhatsApp conversations between operators, supervisors, and NayaCore — in Bahasa Indonesia, exactly as they appear on the phone.

🔍Discovery Alert
NayaCore (Cloud Batch)🔍 Penemuan Baru — Korelasi Antar-Modul

📊 Discovery DIS-0012
Score: ⭐⭐⭐⭐ (0.84)

FFB dari Block C yang diproses dalam 4 jam setelah panen memiliki FFA 0.3% lebih rendah dibanding FFB yang menunggu > 4 jam.

Korelasi: r = -0.72 (kuat)
Confidence: 84%

💡 Business Value: Jika dijadikan aturan penjadwalan, estimasi kenaikan kualitas CPO: +$12K/tahun06:00
👥Validation Loop
NayaCore menemukan: FFB Block C yang cepat diproses (< 4 jam) kualitasnya lebih baik.

Budi, dari pengalamanmu, apakah ini masuk akal?06:15
Budi (T1, Foreman)Ya betul, Block C tanahnya berpasir, FFB-nya cepat kering. Kalau ditumpuk lama di ramp, cepat asam. Selama ini memang kami usaha olah duluan kalau dari Block C.06:18
NayaCore✅ Evidence Linked
Human validation received.
Confidence updated: 84% → 92%
Status: HUMAN_VALIDATED06:18

Cloud Discovery: AI Finds Hidden Connections

No human can manually correlate 233,280 data points across 18 sensors, weather, and harvest quality over 90 days. NayaCore's nightly cloud batch mining discovers non-obvious operational truths.

☁️
03:00 WIB

Nightly Cloud Mining

Anonymized, PII-stripped data is sent to Gemini 2.5 Pro in the cloud. It mines 90 days of cross-module data using Pearson correlation, Granger causality, and semantic reasoning. It filters out spurious correlations automatically.

NAYA CLOUD BATCH
PROCESSING
Data Volume
233,280 points
Target Span
90 Days
RUNNING ALGORITHMS
Pearson (r)Granger CausalityLLM Semantic Filter
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06:00 WIB

Morning Dispatch

The discovery is scored based on strength, novelty, and actionability. High-scoring discoveries are summarized and sent to the Dispatcher via WhatsApp before the morning briefing.

🔍Discovery Alert
NayaCore (Cloud Batch)🔍 Penemuan Baru — Korelasi Antar-Modul

📊 Discovery DIS-0012
Score: ⭐⭐⭐⭐ (0.84)

FFB dari Block C yang diproses dalam 4 jam setelah panen memiliki FFA 0.3% lebih rendah dibanding FFB yang menunggu > 4 jam.

Korelasi: r = -0.72 (kuat)
Confidence: 84%

💡 Business Value: Jika dijadikan aturan penjadwalan, estimasi kenaikan kualitas CPO: +$12K/tahun06:00
👥
06:18 WIB

Human Validation Loop

Siti forwards the discovery to Budi on the floor for human validation. Budi confirms the AI's hypothesis based on his tacit knowledge. The system automatically boosts the confidence to 92%.

👥Validation Loop
NayaCore menemukan: FFB Block C yang cepat diproses (< 4 jam) kualitasnya lebih baik.

Budi, dari pengalamanmu, apakah ini masuk akal?06:15
Budi (T1, Foreman)Ya betul, Block C tanahnya berpasir, FFB-nya cepat kering. Kalau ditumpuk lama di ramp, cepat asam. Selama ini memang kami usaha olah duluan kalau dari Block C.06:18
NayaCore✅ Evidence Linked
Human validation received.
Confidence updated: 84% → 92%
Status: HUMAN_VALIDATED06:18

📊 Before vs. After

Traditional Operations vs. NayaCore

MetricTraditionalNayaCore
Data points analyzed per cycle~50 (human capacity)233,280 (Cloud Batch)
Spurious correlation riskHigh (confirmation bias)Low (LLM semantic filtering)
Cost of discoveryMissed opportunities~$3/night (Cloud compute)
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