NominaGrid

Unified operating portal for electricity trading, scheduling, and TSO/DSO nomination workflows, replacing manual Excel-based processes with a maintainable, compliant operations platform.

The Problem

“Manual electricity trading and nomination operations create compliance and execution risk”

Organizations face these key challenges:

1

Legacy trading operations platform is hard to maintain and extend

2

No native support for TSO nomination workflows in the old system

3

Critical workflows depend on Excel macros and manual operator intervention

4

High risk of submission errors, missed deadlines, and inconsistent data

Impact When Solved

Reduce manual Excel-based nomination handling and reconciliation workImprove on-time submission rates for TSO and DSO nominationsIncrease auditability with end-to-end workflow logs and approval trailsDetect schedule inconsistencies and missing data before submission

The Shift

Before AI~85% Manual

Human Does

  • •Export trade, position, and schedule data from legacy systems into Excel
  • •Adjust nomination values and scheduling inputs manually using spreadsheets and macros
  • •Submit TSO and DSO nominations through files or external portals
  • •Reconcile statuses, missing inputs, and exceptions through email, phone, and spreadsheets

Automation

    With AI~75% Automated

    Human Does

    • •Review AI-flagged nomination exceptions and deadline risks
    • •Approve recommended nomination values and scheduling actions before regulated submission
    • •Resolve ambiguous counterparty, market, or asset constraint issues

    AI Handles

    • •Normalize trade, forecast, and scheduling inputs into a unified nomination workflow
    • •Validate schedules and nominations for missing data, inconsistencies, and rule breaches
    • •Detect anomalies, triage urgent workflow items, and recommend next actions
    • •Generate proposed nomination values and prepare submission-ready workflow steps

    Operating Intelligence

    How it works

    AI runs the first three steps autonomously.

    Humans own every decision.

    The system gets smarter each cycle.

    Confidence92%
    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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