GridComply AI

AI compliance checker for power purchase agreements that validates regulatory, renewable standard, and interconnection requirements to reduce approval and execution risk.

The Problem

“Power purchase agreements pass commercial review but fail compliance late in the process”

Organizations face these key challenges:

1

Regulatory requirements vary by state, market, and counterparty

2

Interconnection obligations are spread across multiple documents and appendices

3

Renewable standard eligibility rules are easy to overlook in contract language

4

Manual checklist reviews are inconsistent and difficult to audit

Impact When Solved

Cuts initial PPA compliance review time from days to hoursFlags missing renewable standard and interconnection requirements before executionStandardizes review quality across states, utilities, and deal teamsReduces rework caused by late-stage legal and regulatory findings

The Shift

Before AI~85% Manual

Human Does

  • •Collect the PPA, exhibits, tariff references, interconnection documents, and renewable compliance materials
  • •Review contract terms against internal checklists, prior templates, and applicable state and federal requirements
  • •Compare cross-document obligations and identify missing, conflicting, or unclear compliance provisions
  • •Escalate ambiguous issues to legal or regulatory specialists and decide required revisions

Automation

  • •No AI-driven compliance review in the legacy process
  • •No automated cross-document requirement mapping
  • •No continuous consistency check across jurisdictions and deal documents
With AI~75% Automated

Human Does

  • •Set review scope, confirm jurisdiction assumptions, and choose the applicable compliance standard
  • •Review high-severity findings and decide whether to accept risk, revise terms, or escalate
  • •Approve remediation language, negotiation positions, and final compliance disposition

AI Handles

  • •Extract clauses and obligations from the PPA and related deal documents
  • •Map contract language to regulatory, renewable standard, and interconnection requirements by jurisdiction
  • •Detect missing, conflicting, or noncompliant provisions and rank issues by severity and execution risk
  • •Generate a cited issue matrix with rationale, remediation suggestions, and an auditable review trail

Operating Intelligence

How it works

AI surfaces what is hidden in the data.

Humans do the substantive investigation.

Closed cases sharpen future detection.

Confidence94%
ArchetypeDetect & Investigate
Shape6-step funnel
Human gates1
Autonomy
67%AI controls 4 of 6 steps

Who is in control at each step

Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.

Loop shapefunnel

Step 1

Scan

Step 2

Detect

Step 3

Assemble Evidence

Step 4

Investigate

Step 5

Act

Step 6

Feedback

AI lead

Autonomous execution

1AI
2AI
3AI
5AI
gate

Human lead

Approval, override, feedback

4Human
6↺ Loop
AI-led step
Human-controlled step
Feedback loop
TL;DR

AI scans and assembles evidence autonomously. Humans do the substantive investigation. Closed cases improve future scanning.

The Loop

6 steps

1 operating angles mapped

Operational Depth

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