GridAccess Ready

AI readiness checker for validating participant connectivity to wholesale IT systems, confirming authentication, role approvals, and network setup before integration.

The Problem

“Pre-validate participant access readiness before wholesale market system integration”

Organizations face these key challenges:

1

Participants begin integration without complete authentication setup

2

Required market roles and approvals are missing or incorrectly assigned

3

Network whitelisting, VPN, certificates, or endpoint configuration is incomplete

4

Onboarding evidence is scattered across forms, emails, and policy documents

Impact When Solved

Reduces integration delays caused by missing authentication or role approvalsFlags compliance and access-control gaps before production connectivity attemptsCuts manual onboarding review effort through automated evidence evaluationGenerates participant-specific remediation checklists with clear next actions

The Shift

Before AI~85% Manual

Human Does

  • •Collect onboarding forms, approvals, and network setup evidence from participants
  • •Review authentication, role assignments, and connectivity prerequisites against access requirements
  • •Chase missing documents and clarify gaps through email and manual follow-up
  • •Decide whether the participant is ready to begin integration

Automation

  • •No AI-driven readiness assessment is used
  • •No automated evidence evaluation is performed
  • •No system-generated remediation checklist is available
With AI~75% Automated

Human Does

  • •Confirm final readiness decisions for borderline or high-risk cases
  • •Approve role exceptions, access deviations, or policy-based overrides
  • •Resolve disputed findings or incomplete evidence with participants

AI Handles

  • •Evaluate onboarding evidence against authentication, role, network, and document requirements
  • •Identify missing approvals, incomplete setup items, and access-control gaps
  • •Generate readiness status, cited explanations, and participant-specific remediation checklists
  • •Prioritize exceptions and recommend next actions based on readiness findings

Operating Intelligence

How it works

AI runs the first three steps autonomously.

Humans own every decision.

The system gets smarter each cycle.

Confidence89%
ArchetypeRecommend & Decide
Shape6-step converge
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 shapeconverge

Step 1

Assemble Context

Step 2

Analyze

Step 3

Recommend

Step 4

Human Decision

Step 5

Execute

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 handles assembly, analysis, and execution. The human gate sits at the decision point. Every cycle refines future recommendations.

The Loop

6 steps

1 operating angles mapped

Operational Depth

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