13 MODULES / 13 WORKED EXAMPLES

A real question. A useful answer.

Choose your software. See the problem, read the explanation and follow a concrete check. Each example shows one focused slice of the Companion, with a bridge to the Course.

13 worked examples

ARGUS Enterprise®

Same lease. Different breakpoint. Why?

You have a specific assumption to reconcile before changing the rent itself.

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ARGUS Intelligence®

Three assets. Only two contributing?

You can distinguish an incomplete comparison from an asset with a zero result.

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ARGUS® Developer

The fee is right. Its timing is wrong.

You can challenge a plausible total using the actual payment pattern.

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ARGUS EstateMaster® DF

Put the construction spend in the right months.

You can make the construction cash flow follow the programme and explain which assumption changed.

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ARGUS EstateMaster DM

I entered an actual. The forecast moved.

You can tell whether the movement is the configured forecast rule, rather than a data-entry error.

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ARGUS EstateMaster IA

Income exists. Why is it excluded?

You know which input to inspect without deleting and re-entering valid rent.

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ARGUS EstateMaster CC

The portfolio changed. Nobody edited it.

You can identify a version-selection change before investigating every project assumption.

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ARGUS EstateMaster HF

Occupancy falls. ADR stays put.

You can separate a room-rate measure from the revenue effect of occupancy.

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Excel modelling

The input changed. The receipt didn’t.

You can locate a broken input link, then verify the repair in the output.

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AI in commercial real estate

A missing assumption is not zero.

You can prevent an unsupported AI answer from silently becoming a model assumption.

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Aprao

Sales moved. Finance costs didn’t.

You know whether your finance calculation is connected to the timing you changed.

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Procore

The architect has replied. What happens next?

You can highlight the agreed answer, close the record and check who will be notified.

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Rockport VAL

Test the downside. Keep the base case.

You can run a traceable downside case and compare it with the original assumptions.

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Enough detail to see the method.

These are authored demonstrations, with original illustrations and explicit software scope. They do not consume free questions or run a live AI session. Your version and circumstances may change the answer.

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MORE WORKED CHECKS

Find the problem in front of you.

More published answers