Multi-Gigawatt Renewable Portfolio Yield Benchmarking & Loss Attribution

An infrastructure investment fund overseeing 3.2GW of operational wind and solar assets across 45 project companies.

recoverable generation losses across 8 underperforming solar: $4.1Mrecoverable generation losses across 8 underperforming solar
accelerated monthly portfolio financial reporting turnaround: 30 daysaccelerated monthly portfolio financial reporting turnaround

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

Executive leadership lacked a single unified platform to evaluate which project companies and O&M contractors were performing below financial yield models.
Monthly performance reports from O&M vendors were delayed by 30 days and used inconsistent loss categorization definitions.
Isolating whether underperformance was caused by bad weather, equipment degradation, or grid curtailment was difficult.

The run · 5 operational steps

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

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Santulan aggregates SCADA, weather data, revenue contracts, and O&M ticket logs across all 45 project companies into one cockpit.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

Identified $4.1M in recoverable generation losses across 8 underperforming solar and wind projects.
Enforced O&M contractor SLA compliance penalties using objective automated SCADA data logs.
Accelerated monthly portfolio financial reporting turnaround from 30 days to instant live dashboards.

Capabilities this relies on

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