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Wild Systems / Portfolio Intelligence

Portfolio intelligence for multi-market businesses

Every business is several businesses. Local work, national accounts, maybe export. They earn differently, cost differently, and move to different weather. We build the layer that holds the record of all of them and shows you, with sources, where the next hour and the next hire earn the most, on hardware you own.

The decision nobody has the data for

Most owners can tell you last month's revenue. Almost none can tell you what an hour of their team's effort returns in each market they serve, because that answer lives scattered across quotes, timesheets, invoices and half-remembered conversations. So the biggest calls in the business, which clients to chase, where to lift prices, when to hire, get made on gut.

Gut built the business. But gut doesn't scale across four markets and two currencies, and shooting in the dark has a quieter cost too: your best people can feel when effort is being spent without direction, and it wears them down.

What the system does with the whole record

Because the knowledge layer already holds every quote, invoice, commitment and conversation, the system can assemble the comparative picture no one has time to build by hand. Which portfolio pays best for the least friction. Which clients quietly cost more than they return. Where retention is softening before anyone has churned.

Then it reads in the conditions each market is trading in. An exchange-rate move that changes what your export work is really worth. A tariff that argues for repricing one market rather than absorbing the hit. A policy shift that opens a door worth walking through. The data comes from inside your company. The context comes from outside it. The judgement stays with you.

The portfolio briefing

The output is a briefing at a quarterly cadence: each market's earnings per effort, the movements worth knowing about, and the two or three decisions the record suggests are worth making, every line traced to its source.

  • A Brisbane firm sees that national accounts return a third more per hour than local work once travel is counted, and points the next hire accordingly.
  • An exporter sees a currency move has quietly repriced their overseas work, and adjusts quotes before the margin leaks.
  • A distributor sees input costs have crept ahead of prices in one market, and walks into the price review with the evidence already assembled: which lines moved, when, and what the margin gave up.
  • A studio with clients in four countries sees one market's costs rising against flat rates, and takes the price conversation to them first.

The system never makes these calls. It makes them visible, cited and early, and the owner decides. The same principle as everywhere else in the build: AI assists, humans decide.

What you'll see

A page, not a dashboard. This is the shape of the briefing, drawn from the working demo with sample figures.

Portfolio briefing · Q3Sample figures
PortfolioRevenue shareReturn per hourTrend
National accounts38%$196rising
Local service46%$148steady
Export16%$121easing
What the record suggests
MovementThe dollar has risen 4.1% since the export price list was last revised. Export return is eroding at current rates.Cited: RATES-07-18 · PRICE-LIST-2025-11
Worth a lookA national account that ordered quarterly for three years has been silent for 210 days.Cited: three years of quote history
Every line traced to its source documents. Figures illustrative.

It learns from your people

When someone corrects a classification, resolves a flagged item, or marks a suggestion as wrong for a reason the data couldn't see, that answer doesn't vanish into a chat window. It's filed in the record: dated, attributed, permanent. Asked once, remembered from then on. The next briefing reasons over those judgements alongside the documents, so the suggestions sharpen the longer your team uses it.

What never changes is the model itself. It stays fixed and auditable; what grows is your record. That's deliberate: learning you can read and trace, not behaviour drifting inside a black box. It's also why the build appreciates rather than ages: the longer it runs, the more it knows.

Built only where it's needed

Portfolio intelligence doesn't ship with every build. A business serving one market with one kind of client doesn't need it, and we won't sell it to them. It's built on the knowledge core for businesses that genuinely trade across markets, client types or currencies, and it's shaped around how that business actually segments, whether that's geography, service line or both.

That's how every Wild Systems build works: it carries the capabilities your operation needs and none that it doesn't. The first conversation establishes what your portfolios really are, which is a question many owners find valuable to answer on its own.

Example: a quarter, briefed

How the record becomes a decision you can defend to your board.

1

The record, assembled

Quotes, invoices, commitments and hours, already in the knowledge layer from daily operation. Nothing extra to enter.

2

Portfolios mapped

Work is grouped the way you think about it: local, national, export, or by client type.

3

Conditions read in

Exchange rates arrive each morning; broader market conditions land each week. Every pull comes from a short whitelisted list, is logged where you can read it, and is filed as a dated, citable document. A movement is only raised when it's big enough to matter.

4

The briefing, drafted

Earnings per effort by portfolio, movements worth knowing, and the decisions the record suggests, every line sourced.

5

You decide

The owner reads it in ten minutes and makes the calls. The system logs what was decided, and the next quarter's briefing starts from there.

Find out what your portfolios are worth.

The first conversation is thirty minutes: how your business segments, and where the record says the money is.

Book a 30-minute diagnosis or email info@wildsystems.com.au