Executive use case 03

Test capital and operating scenarios against operational reality.

Before you commit capital or sign off a plan, the question is not "what does the spreadsheet say" - it is "can the operation actually deliver this?" Helm tests a plan against the twin's physical constraints, shows exactly where and when it breaks, and lets you compare operating options side by side in the same conversation.

What it does

Pressure-test the plan before the capital goes out the door.

A budget can be perfectly reasonable on paper and physically impossible in the pit. The Analyst takes your assumptions, applies them to the operating model, and reasons about feasibility - reconciling capacity, available time and losses against the plan. When a plan does not hold, it does not just say no; it shows the shortfall, period by period, and lets you test the operating levers that might close it.

Feasibility testing · Scenario comparison

Is the FY27 budget achievable - and what would make it so?

This is an extended, multi-turn session with the Analyst. It starts from a budget question and ends with two operating scenarios compared side by side - the model reasoning through feasibility at each step, not just returning charts.

  • Turn 1 - Pull the plan. Retrieve the FY27 budget for Waste Mined (Opex), Waste Mined (Capex) and ROM Production, by month, as a stacked bar chart.
  • Turn 2 - Test feasibility. Apply the haul fleet: 9 haulers at 1,200 tph, 15 hrs/day, net of rain loss. Computed against budget tons, the plan is not achievable with the current fleet - the cumulative shortfall is charted in both tons and fleet-hours.
  • Turn 3 - Test an option. Re-run with a second scenario at 14.4 hrs/day, side by side with the 15 hrs/day case - hauling requirement, cumulative shortfall and a comparison summary.
helm.managedanalytics.ai
DEMO - Extended feasibility session: budget → capacity test → side-by-side scenario comparison.
What's happening under the hood

Each answer carries the constraint forward into the next question.

The conversation is not three unrelated queries. The Analyst holds the plan, the fleet configuration and the constraint logic in context, so each follow-up builds on the last - exactly how a planning conversation actually runs.

STEP 01 · ASSUMPTIONS

Turn assumptions into logic

User-stated assumptions - hauler count, tph, operating hours - are translated into executable logic against the twin. Capacity becomes a computed quantity per month, not a single headline number.

  • Fleet parameters captured in plain English
  • Available days and rain loss applied
  • Monthly capacity computed from the model
STEP 02 · FEASIBILITY

Reconcile plan vs capacity

Budget tons are compared against computed capacity, month by month. Where demand exceeds what the fleet can move, the Analyst quantifies the shortfall in both tons and fleet-hours and explains where the plan breaks.

  • Cumulative shortfall in tons and hours
  • Binding periods identified
  • Clear verdict: achievable or not
STEP 03 · COMPARE

Compare operating options

A second operating scenario is run side by side against the first. The same constraint logic is applied to both, so the comparison is like-for-like and the trade-off between options is explicit.

  • Scenarios run on identical logic
  • Side-by-side capacity and shortfall
  • Comparison summary for the decision
Used by

CEO. CFO. COO. Capital allocation committees.

Anyone making a multi-hundred-million-dollar decision who is tired of doing it on the back of a four-week modelling effort - and any operations leader who has had a budget handed down that the assets simply cannot deliver.

Outcomes our customers report
  • 10× faster scenario turnaround vs. spreadsheet-based modelling.
  • Before you commit - infeasible plans caught ahead of approval.
  • One model for capital, operating and capacity decisions.

NoteThe demo animation is extracted from a live AI Analyst query session. Run-time has been compressed for display purposes — actual query durations typically range from one to three minutes. The data shown is simulated.

Where this lives

Scenario and feasibility testing is part of the Decide pillar.

Strategy and decisions, tested against a live model - scenarios, sensitivities, capital options and operational constraints, quantified and explainable.

Bring us the plan you are not sure about.

Most briefings include a live scenario run on a representative twin. Tell us the capital case or the budget; we'll show you whether the operation can carry it.